Friday, May 22, 2026

The ream and run for cuff-intact glenohumeral arthritis - what we think we know.


Disclosure: The author has no financial relationship with any orthopaedic device manufacturer.


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There is increasing interest in the use of hemiarthroplasty — rather than total shoulder arthroplasty (TSA) — in the management of cuff-intact arthritis. The ream-and-run (RnR) is a glenohumeral arthroplasty in which a cobalt-chromium humeral hemiarthroplasty is combined with conservative reaming of the glenoid bone to a single concentric concavity. The reamed bone remodels during the rehabilitation period to provide a biological bearing surface that articulates directly with the prosthetic head, eliminating the modes of failure unique to a prosthetic glenoid — wear, loosening, and bone loss. [1]

The radiograph above shows wear and loosening of a glenoid component with surrounding bone loss.


The RnR can enable high levels of shoulder function without the risk of plastic glenoid component failure.

It allows biological remodeling of challenging arthritic deformities such as the bad B2 shown below.

The RnR requires no proprietary planning software and no special components or instruments. It can be performed with most commercially available shoulder arthroplasty systems. The outcome depends on careful patient selection, attention to the details of surgical technique, and a dedication to the rehabilitation program. [1,2]


This is a review of what we think we know about the ream and run.


Sections:

1.  The Beginning

2.  Indications and Patient Selection

3.  Surgical Technique

4.  Time Course of Recovery

5.  Glenoid Wear and Radiographic Outcomes

6.  Comparison with Anatomic Total Shoulder Arthroplasty

7.  Complications and Reoperation

8.  Cost and Value

9.  Predictors of Success

10. Not for Every Patient, Every Surgeon, or Every Problem

11. Will the Outcomes for Pyrocarbon Hemiarthroplasty Be Different from Those for the RnR?

12. Conclusions


Additional information on the Ream and Run origins, patient and surgeon, surgery, rehabilitation, and results can be found at the ream and run website.


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1. THE BEGINNING


Recognition of the potential value of non-prosthetic glenoid arthroplasty emerged from observing that patients with failed total shoulder replacements recovered comfort and function after the worn or loosened polyethylene glenoid component was removed, leaving behind a smooth bony concavity.


In a canine model, the reamed glenoid bone became covered with conforming, securely attached fibrocartilaginous tissue at 24 weeks, with progressive subsurface trabecular bone densification consistent with physiologic load transfer. [20]



Slides above show (a) normal glenoid, (b) reamed glenoid, (c) surface regeneration at 12 wks, and (d) surface regeneration at 24 wks. 

Lynch and colleagues reported the first prospective RnR clinical series showing significant improvement in self-assessed comfort and function (mean SST 4.7 ± 2.4 preoperatively to 9.4 ± 2.6 at 2–4 year follow-up), with no surgical complications, no infections, no instability, and no revisions to total shoulder arthroplasty. [18] Another analysis compared RnRs with TSAs by the same surgeon, matched for diagnosis, sex, age, side, and follow-up duration. TSA reached its functional plateau 12 to 18 months earlier, but from 18 through 36 months mean SST scores did not differ significantly between procedures (36-month SST 9.5 vs 10.0). [21] This finding was confirmed by subsequent comparative studies. [8]


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2. INDICATIONS AND PATIENT SELECTION


RnR is an alternative to aTSA for patients with cuff-intact primary glenohumeral osteoarthritis, capsulorrhaphy arthropathy, or post-traumatic arthritis who wish to avoid the long-term limitations associated with a polyethylene glenoid component. [2] The prototypical RnR candidate is described as a motivated, resilient male patient with glenoid biconcavity and retroversion who wants to participate in heavy lifting and impact sports. [16] In the UW 544-case concurrent series, patients who chose RnR were more often male (92.0% vs 47.0%, p < .001), younger (mean 58 ± 9 vs 67 ± 10 years, p < .001), more likely to be married (83.2% vs 66.8%), more frequently from out of state (51.7% vs 21.7%), and significantly less likely to be on narcotic pain medication preoperatively (16.6% vs 26.6%, p = 0.005). [6] Their shoulders also differed: RnR patients had substantially higher prevalence of Walch B2 glenoids (46.0% vs 27.8%, p < .001), greater preoperative retroversion (19 ± 11° vs 15 ± 11°, p < .001), and higher preoperative SF-36 physical functioning scores (73 ± 17 vs 56 ± 23, p < .001) than aTSA patients. [6] In practice, RnR is the procedure offered to (and chosen by) the more biomechanically challenging shoulders in the more physically active patients.


Severe glenoid pathoanatomy does not preclude good outcomes. In a 49-shoulder cohort from an external high-volume center, 30 of 49 (61%) had Walch type B glenoids and patient-reported outcomes were not associated with Walch classification or with preoperative shoulder motion. [4] A matched-cohort analysis comparing RnR with aTSA likewise found no significant differences in outcome attributable to glenoid morphology after concentric reaming. [8]

Figure . RnR populations are enriched for B2 (biconcave) glenoids across institutions. (A) Distribution of Walch subtypes in 263 RnR and 281 aTSA patients at the University of Washington. [6] B2 glenoids — the morphology most often considered challenging for arthroplasty — are present in 46% of RnR patients but only 28% of aTSA patients at the same institution. (B) B2 prevalence converges across independent RnR cohorts (UW 46.0% [6]; Virginia Beach 41.0%, combined from 47 self-selecting and 31 control patients [19]), both well above the UW aTSA comparator (27.8%, dotted line). At every reporting center, RnR populations carry the more biomechanically challenging glenoid morphology.


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3. SURGICAL TECHNIQUE


The shoulder is approached through an anterior deltopectoral incision.


The subscapularis is peeled from the lesser tuberosity, retaining the capsule on the deep surface of the tendon.

A 360-degree release of the subscapularis restores the excursion of the muscle.

The humeral head is completely resected, avoiding an inadequate resection as shown on the left and protecting the rotator cuff as shown on the right. The plane of resection is 30 degrees of retroversion and 45 degrees with the long axis of the humeral shaft.

The glenoid is reamed with a nubbed (rather than cannulated) reamer. Reaming is conservative, only enough to establish a single concavity — prioritizing preservation of the glenoid bone stock. No attempt is made to alter glenoid version.

With the trial humeral component in place, the range of motion is verified, using the 150-40-50-60 guidelines: ≥150° of flexion, ≥40° external rotation with the subscapularis approximated to its reattachment site, ≥50% manual humeral translation, and 60° internal rotation in abduction. [1,2]

The subscapularis is securely repaired to the lesser tuberosity. Assisted forward flexion is started immediately after surgery to preserve the 150° of flexion achieved at surgery.

We inform the patient before surgery that if they have difficulty maintaining their range of motion, a manipulation under anesthesia with complete muscle relaxation can be considered.

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4. TIME COURSE OF RECOVERY

The recovery for each of the 12 Simple Shoulder Test functions at two years after surgery is shown below.


The trajectory of recovery after RnR is one of the most clinically useful pieces of preoperative counseling information. Gilmer and colleagues, analyzing 176 consecutive RnR procedures with longitudinal follow-up, demonstrated that shoulder comfort and function climb rapidly during the first year, continue to improve more slowly through the second year, and reach a steady state at approximately 20 months. [3] Among patients with at least 2 years of follow-up, 124 of 140 (89%) achieved the minimal clinically important difference (MCID) on the Simple Shoulder Test (SST). [3] The plateau is durable: Stenson and colleagues reported a mean SST of 10.2 at 5 years [5], and Sharareh and colleagues reported a mean SST of 10.3 with 82% of patients achieving MCID at 10 years [7].

Figure 2. Recovery trajectory and durability of patient-reported improvement after ream-and-run. Early time points (0–24 months) from Gilmer [3]; 5-year point from Stenson [5]; 10-year point from Sharareh [7]. Dotted vertical line marks the 20-month plateau.


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5. GLENOID WEAR AND RADIOGRAPHIC OUTCOMES


A historical objection to any humeral hemiarthroplasty has been that the prosthetic humeral head will progressively erode the glenoid, producing late pain and dysfunction. The modern quantitative wear literature does not support that objection.


Somerson and colleagues first characterized the clinical and radiographic course of RnR for primary glenohumeral osteoarthritis: medialization of the humeral head center of rotation occurs predominantly early and stabilizes, and radiographic medialization does not correlate with patient-reported outcomes. [9] Collins and colleagues extended this work in 113 RnR shoulders followed for a mean of 6.7 ± 2.3 years (range 4.2–11.4 years), measuring medialization on standardized AP radiographs. [10] The data were best fit by a quadratic function (R² = 0.82, p = .001) rather than a linear one: wear averaged 0.6 mm/year during the first 4 years and decelerated to 0.2 mm/year between years 4 and 10, reaching a cohort mean of 2.9 ± 4.3 mm at 6.7 years (Figure 3A). Wear was minimal or mild (≤5 mm) in 81% of patients, moderate (>5 to ≤10 mm) in 13%, and severe (>10 mm) in only 5% (Figure 3B).


The finding that matters clinically: wear severity did not predict patient-reported outcomes. SST, change in SST, VAS, and change in VAS were statistically indistinguishable between minimal/mild and moderate/severe wear cohorts (all p > 0.17). [10] Open revision rates were higher in the moderate/severe group (23.8% vs 7.6%, p = .004), but the absolute revision rate for the full cohort remained low at 10.6% over a mean of 6.7 years.

Figure 3. Glenoid wear after ream-and-run decelerates after year 4 and does not track with patient-reported outcomes (Collins 2026, n = 113, mean 6.7 yr follow-up). (A) Glenoid medialization over time. Curve = quadratic fit to longitudinal data (R² = 0.82, p = .001); dot = observed cohort mean at 6.7 years (2.9 mm); dotted reference line = expected trajectory if wear were linear at 0.3 mm/yr. Mean wear rate was 0.6 mm/yr during years 0–4 and 0.2 mm/yr during years 4–10. (B) Severity distribution at most recent follow-up: 81% minimal/mild (≤5 mm), 13% moderate (>5 to ≤10 mm), 5% severe (>10 mm); totals reflect rounding. Patient-reported outcomes (SST, ΔSST, VAS, ΔVAS) did not differ between mild and moderate/severe wear cohorts (all p > 0.17).


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6. COMPARISON WITH ANATOMIC TOTAL SHOULDER ARTHROPLASTY


Levins and colleagues conducted a propensity-matched cohort study comparing humeral-head replacement with concentric glenoid reaming (RnR) against aTSA in 39 matched pairs of younger patients (all male, <66 years of age, mean 58.6 ± 7.3 years; >75% with B- or C-type glenoids) at mean follow-up of 4.4 ± 2.3 years. [8] On paired t-tests, aTSA had statistically better final SST (10.9 vs 10.3) and ASES (89.9 vs 85.0) scores than RnR, but in the mixed-effects model that controlled for baseline covariates, arthroplasty type was not associated with any difference in PROM, HRQoL, or %MPI outcome. At 2 years, more aTSA patients achieved the MCID for VAS pain (89.7% vs 75%) and the SCB for ASES (100% vs 79.2%); however, at ≥5-year follow-up, MCID, SCB, and PASS achievement were statistically indistinguishable between cohorts on all three measures (SST, ASES, VAS pain). The Sharareh minimum 10-year analysis provides the parallel long-term picture: at the time horizon at which aTSA glenoid loosening typically becomes clinically relevant (9–14 years), RnR delivered SST and pain outcomes equivalent to aTSA without exposure to the prosthetic glenoid as a late failure mode. [7]


A JBJS commentary noted that the Levins analysis represents the largest comparative study of RnR outside the originating institution and the most rigorously matched comparison in the literature. [16] This commentary identifies limitations of the Levins propensity-score matching and argues that, on balance, these limitations strengthen rather than weaken the case for RnR equivalence. First, the matching algorithm could not capture activity level or psychosocial attributes such as resilience and motivation — characteristics that, if anything, favor the RnR cohort. If RnR patients are systematically more resilient (as Levins and colleagues subsequently demonstrated [15]) and the matched analysis still shows equivalence, the procedure is performing well before that resilience advantage is accounted for. Second, matching on duration of follow-up loaded the aTSA arm with more patients from the later (post-2011) period, when RnR was an option — so the aTSA cohort may include patients who actively chose aTSA over an available RnR alternative. Both limitations argue that the observed equivalence is a conservative estimate. [16]


The two procedures carry distinctly different risk profiles in time. In the Levins matched cohort, three RnR patients underwent revision for pain at a mean of 1.9 ± 1.7 years (two with positive Cutibacterium cultures at revision), while two aTSA patients required revision for glenoid loosening at 9.2 and 14 years. [8] RnR carries a higher early revision rate (largely for pain or stiffness within the first 2 years); aTSA defers risk to later glenoid-component failure. [7,8] A 544-case concurrent series likewise documented that, despite the marked differences in patient and shoulder characteristics, the two procedures produced clinically similar outcomes: mean 2-year SST of 10.0 ± 2.6 (RnR) vs 9.5 ± 2.7 (aTSA), with percent of maximum possible improvement of 72 ± 39% vs 73 ± 29%, respectively. [6]


A counterintuitive finding from the Levins inverse-probability-weighted sensitivity analysis of all 167 patients deserves note: dissatisfaction was significantly higher after aTSA (22.9%) than after RnR (9.4%), despite the higher RnR early revision rate. [8] The authors attribute this to either (1) the absence of postoperative activity restrictions for RnR patients, (2) deterioration in aTSA outcomes at longer follow-up in younger patients, (3) selection bias whereby patients with later aTSA problems are more likely to return for evaluation, or (4) that patients self-selecting RnR may also be more likely to rate themselves "satisfied" because of treatment-preference effects. The finding is only hypothesis-generating but it is consistent with the long-term equivalence findings.


Suttmiller, Snyder, and Carofino contributed independent confirmation from a single-surgeon practice outside the UW system: in a Virginia Beach cohort of 46 shoulders (23 RnR and 23 aTSA, all male, mean age 56.2 ± 8.3 years) matched 1:1, there were no differences in PROMs between RnR and aTSA at 1- and 2-year follow-up, although RnR patients reported significantly higher daily pain ratings (p = 0.047) and lower ASES scores (p = 0.031) at 3 months — consistent with the well-documented slower early recovery of RnR. [11]


Mostafa and colleagues subsequently performed a PRISMA-compliant systematic review and meta-analysis of comparative RnR versus aTSA studies (738 RnR / 810 aTSA across 8 studies). The pooled analysis found no significant differences between RnR and aTSA in SST, ASES, VAS, or forward flexion. A higher rate of return to theatre was reported for RnR (7.0%), consistent with the early-revision profile noted in the UW data. [12] An independent 2025 PRISMA meta-analysis by Roelker and colleagues, pooling 668 shoulders across three comparative studies, reached the same conclusion: significant pre-to-postoperative improvements in SST, ASES, VAS pain, and range of motion in both arms, with no statistically significant difference between RnR and aTSA in any outcome measure. The RnR revision rate (11.7%) was more than two and a half times that of aTSA (4.4%) when only short-term outcomes were considered. [17]

Figure 4. Convergent evidence for clinical equivalence between ream-and-run and anatomic total shoulder arthroplasty. Forest plot of mean SST difference (RnR − aTSA, 95% CI) across five independent comparative studies — a propensity-matched cohort [8], a single-institution long-term cohort [7], a non-UW matched comparison [11], and two PRISMA meta-analyses [12,17] totaling more than 2,200 patients across multiple study designs and institutions. None of the five comparisons reaches statistical significance; all confidence intervals cross zero. Both meta-analyses report higher short-term revision rates for RnR (7.0–11.7%) than aTSA (4.4%).


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7. COMPLICATIONS AND REOPERATION


Stiffness is the most common postoperative complication after RnR and the leading indication for early reoperation. Schiffman and colleagues analyzed 340 RnR patients and found a combined intervention rate of 17.9% (7.6% open revision plus 10.3% manipulation under anesthesia at mean follow-up of 2.1 years). On multivariate analysis, younger age (OR 0.96/year, p = 0.040), ASA class 1 compared with class 3 (OR 0.14, p = 0.020), and less passive forward elevation at the time of hospital discharge (OR 0.96/degree, p < 0.001) were independent predictors of reoperation for stiffness. [13] A clinically important secondary finding was that 69.2% (18 of 26) of patients undergoing open revision for stiffness had at least 2 positive intraoperative cultures for Cutibacterium — indicating that occult low-grade infection may be associated with stiffness and is one possible contributor among several to the observation that young, healthy patients appear more prone to reoperation for stiffness. [13] These data inform both patient selection and preoperative counseling: patients with these risk factors should be told explicitly that their probability of a second procedure for stiffness is higher than average, and surgeons should maintain a low threshold for sending intraoperative cultures at the time of any revision for stiffness. [13]


The complication landscape on the aTSA side looks very different, both in timing and in what failure looks like. aTSA carries failure modes distributed across the temporal spectrum rather than deferred to a single late peak. Of aTSA reoperations attributable to instability, rotator cuff failure, and infection, approximately 63% occur within the first 2 years. [23] After 2 years, aTSA fails at a steady linear rate of approximately 1.1% per year for all causes combined, with mechanical failure (aseptic loosening, component wear, and implant fracture) accumulating progressively and accounting for 41% of all aTSA reoperations (85 of 208), and rotator cuff failure accounting for an additional 22% (45 of 208). [23]


In the young patient population most directly relevant to the RnR comparison, the cumulative revision burden of aTSA is substantially higher than the often-cited general-population figures — Neyton's 202-patient cohort reaches 40% cumulative revision at 20 years, with glenoid failure accounting for 88% of revisions and a precipitous decline in survivorship after 10 years. [22] Severe glenoid wear after RnR, by contrast, is uncommon (5% in the Collins cohort [10]), and when it does occur it is not by itself an indication for revision in the absence of clinical symptoms. [9,10] Other historical young-patient series have reported similar long-term revision rates. [26–30]

Figure 5. Cumulative revision rate after primary anatomic total shoulder arthroplasty over 20 years. The red curve anchors the figure: Neyton 2019 [22] reports Kaplan-Meier survivorship of 95% / 83% / 60% at 5 / 10 / 20 years in 202 patients aged ≤60 undergoing primary aTSA for primary glenohumeral osteoarthritis, equivalent to cumulative revision rates of 5%, 17%, and 40%, with glenoid loosening accounting for 88% of revisions. The three gray curves are long-term comparators provided for context: Schoch 2015 [28] (minimum 20-year follow-up in patients aged <50, mixed diagnoses) and Evans 2021 [29] (minimum 20-year follow-up of the Aequalis prosthesis in a mixed-age cohort) each report cumulative revision rates of approximately 16% at 20 years; the Evans 2020 systematic review and meta-analysis [31] of case-series and national registry data pools mixed-age patients and reports approximately 8% at 10 years. The central observation is that the long-term revision burden of aTSA in young patients with primary osteoarthritis (Neyton 40% at 20 years) substantially exceeds the figures commonly cited from mixed-age long-term series (~16% at 20 years) and from registry pools (~8% at 10 years) — a difference of clinical importance when counseling younger active patients about the comparative durability of aTSA versus ream-and-run.

Figure 6. Revision risk after RnR and aTSA in younger patients: timing and consequence are not the same.


(A) Cumulative revision incidence over 20 years. The aTSA curve is anchored to Neyton 2019 [22], a multicenter Kaplan-Meier analysis of 202 patients aged ≤60 undergoing primary aTSA for primary glenohumeral osteoarthritis: 95% / 83% / 60% revision-free at 5 / 10 / 20 years, equivalent to cumulative revision rates of 5%, 17%, and 40%, with glenoid loosening accounting for 88% of revisions. The 40% at 20 years is at the upper end of published estimates; smaller long-term series in younger aTSA cohorts report revision rates of ≈16% at 20 years (Schoch 2015 [28]; Evans 2021 [29]), although Neyton's is the largest analysis and uses the most rigorous Kaplan-Meier methodology. The RnR open-revision curve is anchored to Schiffman 2023 [13] (7.6% at mean 2.1 years, n=340) and Sharareh 2024 [7] (12% at minimum 10 years, n=34). The aTSA curve crosses the RnR open-revision curve at approximately year 8. Manipulation under anesthesia is the dominant non-open intervention after RnR — Schiffman reports a combined intervention rate of 17.9% at 2.1 years (7.6% open plus 10.3% MUA), and Sharareh reports 14.7% combined at 10 years — but MUA involves no incision, no implant change, and no commitment to a different procedure, and is therefore not plotted on the cumulative revision curve. In the broader aTSA population, reoperations for instability, rotator cuff failure, and infection are concentrated in the first 2 years (63% of reoperations for these three causes combined occur within 2 years). [23,24]


(B) The asymmetry of revision. Equal cumulative revision rates between RnR and aTSA are not equal revision events. When an aTSA is revised, approximately 85% are converted to a reverse total shoulder arthroplasty [25]; the conversion is one-way, since the resected humeral head, the reamed glenoid, and the resurfaced subscapularis preclude re-creation of the original anatomic procedure. When an RnR is revised, the intervention is heterogeneous and largely conservative: in the Schiffman 2023 cohort [13], 35 of 61 intervention events (57%) were MUA only and 26 (43%) were open revisions, typically humeral-head exchange or debridement. Within the open-revision category, most revisions preserve the original procedure rather than escalate to a different one — Sharareh 2024 [7] reported four open revisions among 34 RnR patients at minimum 10-year follow-up: two head exchanges, two head downsizings, and zero conversions to aTSA or rTSA. An RnR revision typically leaves the patient with the original procedure intact and every downstream conversion option still available; an aTSA revision typically commits the patient to a fundamentally different procedure for life.

Figure 7. Indications for open revision among 508 RnRs at the University of Washington, plotted by date of index surgery. Each dot represents one open-revision event. Stiffness is the dominant indication throughout the series, particularly before 2017. After 2017, the overall frequency of open revision decreases and the indication mix shifts. The contributors to this temporal change are not known, but likely include refinements in patient selection, surgical technique, infection-prevention protocols, and rehabilitation.


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8. COST AND VALUE


Chawla and colleagues examined drivers of inpatient hospital cost and improvement in health-related quality of life across 222 aTSAs and 211 RnRs at a single institution. The RnR procedure was associated with lower inpatient cost — a finding that is straightforward: the RnR uses a single cobalt-chromium humeral head with no glenoid component, no cement, and no patient-specific planning software, so the implant-cost line item is materially smaller than in aTSA. Greater improvements in health-related quality of life were associated with lower preoperative SF-6D and EQ-5D scores and with higher preoperative optimism scores, in both procedures. [14]

Figure 8. Decomposition of inpatient hospital cost across three procedures: ream-and-run (RnR), anatomic total shoulder arthroplasty with standard polyethylene glenoid (aTSA standard), and anatomic TSA with augmented or patient-specific component (aTSA with augmented/PSI). Blue blocks represent cost categories shared across all three procedures and are scaled to typical proportions of total inpatient cost. Red blocks represent aTSA-specific categories absent in RnR — the polyethylene glenoid (added in all aTSA cases) and the augmented or patient-specific component (added in the subset that uses it). The structural cost differential between RnR and aTSA standard is approximately 20%; between RnR and aTSA with augmented/PSI, approximately 32%. Anchored to Chawla 2021 [14]; category proportions are illustrative and consistent with published shoulder arthroplasty cost-decomposition data.


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9. PREDICTORS OF SUCCESS


Across the literature, several patient factors are associated with favorable outcomes after RnR. Male sex is the most consistent predictor across all follow-up durations and PROMs. Lower preoperative SST scores identify patients with greater potential for measurable gain. Primary osteoarthritis as the diagnosis predicts better outcomes than post-traumatic or capsulorrhaphy arthropathy, and absence of prior shoulder surgery is associated with greater improvement and lower reoperation risk (p < 0.04). [3,5]


Psychosocial factors also matter. Levins, Dasari, and colleagues evaluated patient resilience and mental health as predictors of outcome and found that Connor-Davidson Resilience Scale scores and preoperative VR-12 Mental Component Scores were independently correlated with satisfaction (p < 0.05). [15] RnR patients demonstrated higher mean resilience scores than aTSA patients (34.3 ± 4.8 vs 32.5 ± 6.2, p < 0.001), suggesting that the procedure may attract — or require — more psychologically resilient individuals to navigate the long recovery. [15]


A common concern in the RnR literature is that published results are biased by patients self-selecting the procedure — travelling long distances, researching the technique independently, and pre-committing to a specific surgeon, all of which could plausibly inflate outcomes through a treatment-preference effect. Suttmiller, Snyder, and Carofino tested this hypothesis directly in 78 shoulders from their Virginia Beach practice, comparing the 47 shoulders in patients who deliberately sought out the surgeon and procedure (RnR_SS) against 31 shoulders in patients to whom the surgeon offered RnR after a standard arthroplasty consultation (RnR_CON). [19] Both groups achieved substantial improvements far exceeding the MCID threshold (SST MOI 84–89%, ASES MOI 78%, daily-pain MOI 76–80%) and 66 of 78 shoulders (85%) achieved MCID on all four outcome measures. There were no differences between self-selecting and control patients on any maximum-outcome-improvement metric, any MCID-achievement proportion, or subjective satisfaction (87.2% vs 80.6% "much better", p = 0.569).


Patients who are younger and those who have limited passive forward elevation at the time of hospital discharge are at higher risk of stiffness requiring reoperation and should be counseled accordingly, with attention to aggressive early-postoperative range-of-motion rehabilitation. [13]


Factors that do not predict outcomes include patient age, preoperative shoulder motion, and Walch glenoid classification (type A vs B). [3,4] Severe glenoid retroversion, biconcavity, and posterior subluxation should not, in themselves, be considered contraindications. [4,6]

Figure 9. Predictors of outcome after ream-and-run, synthesized across the cited literature. Positive predictors (top, blue) identify patient and shoulder characteristics associated with favorable outcomes on patient-reported measures and on revision-free survival, organized into demographic, diagnostic, and psychosocial categories. Neutral factors (middle, gray) have been tested in the published literature and found not to predict outcome — notable because several are commonly assumed to do so, including Walch glenoid type A vs B and patient self-selection, the most frequently cited objection to the RnR literature. Negative predictors (bottom, red) identify patient profiles in which RnR carries an elevated risk of stiffness reoperation specifically, not of inferior patient-reported outcome; these patients should be offered the procedure with explicit counseling about that risk and with attention to aggressive early-postoperative range-of-motion rehabilitation. Bar lengths are visual anchors only and do not represent effect sizes; citations indicate the source publications for each predictor.


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10. NOT FOR EVERY PATIENT, EVERY SURGEON, OR EVERY PROBLEM


A 2015 essay set out the limits of the RnR. RnR requires a patient willing to invest in a 20-month recovery and to commit to a daily home rehabilitation program; a surgeon experienced in conservative concentric reaming and soft-tissue balancing; and a clinical situation in which the trade-off — accepting a higher early revision risk in exchange for elimination of late prosthetic-glenoid complications — is clinically meaningful. [2]


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11. WILL THE OUTCOMES FOR PYROCARBON HEMIARTHROPLASTY BE DIFFERENT FROM THOSE FOR THE RnR?


As I emphasized in a prior blog post, answering this question will require a prospective trial that controls not only for important patient and shoulder characteristics, but also for the way the glenoid is managed (no glenoid work, selective burring, non-corrective reaming, corrective reaming), as well as humeral head size and position.


Here is my "back of the envelope" estimate. The MCID for the ASES score is between 6 and 14 points and the MCID for the SST is approximately 2 points. The standard deviation at 2 years is approximately 20 points for ASES and 3 points for SST. Assuming alpha = 0.05 (two-sided), 80% power, and 20% loss to follow-up at 2 years, between 100 and 400 matched pairs would be required to demonstrate superiority of either RnR or pyrocarbon hemiarthroplasty over the other, depending on which PROM and which MCID anchor is used. If patients are matched 1:1 on age (±5 years), sex, Walch type, and glenoid management, the cumulative match yield is roughly 25%, meaning initial enrollment would need to be approximately 4× the analyzable sample size — between 400 and 1,600 patients.


A non-inferiority design would be more tractable but would establish only that the implants perform similarly on PROMs — it would not address the comparative value (patient benefit per dollar) of the two procedures, which requires parallel cost analysis.


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12. CONCLUSIONS


The accumulated evidence supports the ream-and-run as a procedure that delivers durable patient-reported improvement for active patients with cuff-intact glenohumeral arthritis who wish to avoid the long-term risk of prosthetic glenoid failure. The original 2007 prospective series of Lynch and colleagues established the equivalence of self-assessed outcomes to anatomic total shoulder arthroplasty performed by the same surgeon at the same institution. [18] The 20-month recovery trajectory described by Gilmer [3] is reliably followed by a plateau that is sustained through 5 years (Stenson [5]) and 10 years (Sharareh [7]), with outcomes equivalent to aTSA in matched comparisons (Levins [8]), concurrent series [6], an independent external-center cohort (Suttmiller/Carofino [11]), and two pooled meta-analyses (Mostafa [12]; Roelker [17]). Modern quantitative wear data show modest, biphasic, and clinically silent medialization (Collins [10]). RnR is associated with lower inpatient costs (Chawla [14]) and patient resilience is a meaningful predictor of satisfaction (Levins JG [15]). The decision to perform a RnR should be grounded in the procedure's appropriate use — careful patient selection, dedicated technique, and committed rehabilitation — recognizing that it is not for every patient, every surgeon, or every problem. [2]


Getting a grasp


Common Yellowthroat
Union Bay Natural Area


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REFERENCES


1.  Matsen FA III, Carofino BC, Green A, Hasan SS, Hsu JE, Lazarus MD, McElvany MD, Moskal MJ, Parsons IM IV, Saltzman MD, Warme WJ. Shoulder hemiarthroplasty with nonprosthetic glenoid arthroplasty: the ream-and-run procedure. JBJS Reviews. 2021;9(8):e20.00243. doi:10.2106/JBJS.RVW.20.00243. PMID: 34432729.


2.  Matsen FA III. The ream and run: not for every patient, every surgeon or every problem. International Orthopaedics. 2015;39(2):255–261. doi:10.1007/s00264-014-2641-2. PMID: 25616729.


3.  Gilmer BB, Comstock BA, Jette JL, Warme WJ, Jackins SE, Matsen FA III. The prognosis for improvement in comfort and function after the ream-and-run arthroplasty for glenohumeral arthritis: an analysis of 176 consecutive cases. J Bone Joint Surg Am. 2012;94(14):e102. doi:10.2106/JBJS.K.00486. PMID: 22810409.


4.  Levins J, Passarelli E, Adkins J, Molino J, Henry H, Paxton ES, Green A. Early outcome of humeral head replacement with glenoid reaming arthroplasty (ream and run) for treatment of advanced glenohumeral osteoarthritis. J Shoulder Elbow Surg. 2022;31(9):1846–1858. doi:10.1016/j.jse.2022.01.152. PMID: 35276348.


5.  Stenson JF, Collins AP, Yao JJ, Sharareh B, Whitson AJ, Matsen FA III, Hsu JE. Factors associated with success of ream-and-run arthroplasty at a minimum of 5 years. J Shoulder Elbow Surg. 2023;32(6S):S85–S91. doi:10.1016/j.jse.2023.01.024. PMID: 36813226.


6.  Matsen FA III, Whitson A, Jackins SE, Neradilek MB, Warme WJ, Hsu JE. Ream and run and total shoulder: patient and shoulder characteristics in five hundred forty-four concurrent cases. International Orthopaedics. 2019;43(9):2105–2115. doi:10.1007/s00264-019-04352-8. PMID: 31240359.


7.  Sharareh B, Whitson AJ, Matsen FA III, Hsu JE. Minimum 10-year follow-up of anatomic total shoulder arthroplasty and ream-and-run arthroplasty for primary glenohumeral osteoarthritis. J Shoulder Elbow Surg. 2024;33(6):1276–1284. doi:10.1016/j.jse.2023.08.028. PMID: 37777045.


8.  Levins J, Molla V, Adkins J, Molino J, Pasarelli E, Paxton ES, Green A. Comparison of humeral-head replacement with glenoid-reaming arthroplasty (ream and run) versus anatomic total shoulder arthroplasty: a matched-cohort study. J Bone Joint Surg Am. 2023;105(7):509–517. doi:10.2106/JBJS.22.00650. PMID: 36727972.


9.  Somerson JS, Neradilek MB, Service BC, Hsu JE, Russ SM, Matsen FA III. Clinical and radiographic outcomes of the ream-and-run procedure for primary glenohumeral arthritis. J Bone Joint Surg Am. 2017;99(15):1291–1304. doi:10.2106/JBJS.16.01201. PMID: 28763415.


10. Collins AP, Sheth MM, Stenson JF, Kahsai EA, Khoo KJ, Ogunleye T, Whitson AJ, Matsen FA III, Hsu JE. Characterizing glenoid wear after hemiarthroplasty with concentric glenoid reaming: a study of 113 arthroplasties at a mean of 6.7 years of follow-up. J Shoulder Elbow Surg. 2026;35(5):995–1002. Epub 2025 Oct 8. PMID: 41072717.


11. Suttmiller AMB, Snyder BA, Carofino BC. Comparison of short- and midterm outcomes in patients following ream-and-run and anatomic total shoulder arthroplasties. J Shoulder Elbow Surg. 2025;34(3):794–802. doi:10.1016/j.jse.2024.06.011. PMID: 39103085.


12. Mostafa OES, Jordan RW, Thangarajah T, MacLean S, Woodmass J, D'Alessandro P, Malik SS. Ream-and-run technique offers equivalent clinical outcomes as anatomical total shoulder arthroplasty but with a high rate of complications: a systematic review and meta-analysis. J Orthop. 2025;63:206–215. doi:10.1016/j.jor.2025.04.003. PMID: 40303354.


13. Schiffman CJ, Jurgensmeier K, Yao JJ, Wu JC, Whitson AJ, Jackins SE, Matsen FA III, Hsu JE. Risk factors for stiffness requiring intervention after ream-and-run arthroplasty. JB JS Open Access. 2023;8(2):e22.00104. doi:10.2106/JBJS.OA.22.00104. PMID: 37123506.


14. Chawla SS, Whitson AJ, Schiffman CJ, Matsen FA III, Hsu JE. Drivers of lower inpatient hospital costs and greater improvements in health-related quality of life for patients undergoing total shoulder and ream-and-run arthroplasty. J Shoulder Elbow Surg. 2021;30(8):e503–e516. doi:10.1016/j.jse.2020.10.030. PMID: 33271324.


15. Levins JG, Dasari SP, Quinlan NJ, Whitson AJ, Matsen FA III, Hsu JE. Anatomic shoulder arthroplasty: the correlation between patient resilience, mental health, and outcome. J Shoulder Elbow Surg. 2024;33(6S):S9–S15. doi:10.1016/j.jse.2024.03.008. PMID: 38548096.


16. Hsu JE. Can we reliably compare outcomes of ream-and-run and anatomic total shoulder arthroplasty? Commentary on an article by James Levins, MD, et al.: "Comparison of humeral-head replacement with glenoid-reaming arthroplasty (ream and run) versus anatomic total shoulder arthroplasty. A matched-cohort study." J Bone Joint Surg Am. 2023;105(7):e21. doi:10.2106/JBJS.23.00034. PMID: 37017618.


17. Roelker L, Ghasemi A, Fabregas A, Shafer G, Raphael J. Ream and run hemiarthroplasty versus total shoulder arthroplasty: a comparison of shoulder treatments for glenohumeral arthritis. Cureus. 2025;17(7):e88813. doi:10.7759/cureus.88813. PMID: 40861556.


18. Lynch JR, Franta AK, Montgomery WH Jr, Lenters TR, Mounce D, Matsen FA III. Self-assessed outcome at two to four years after shoulder hemiarthroplasty with concentric glenoid reaming. J Bone Joint Surg Am. 2007;89(6):1284–1292. doi:10.2106/JBJS.E.00942. PMID: 17545432.


19. Suttmiller AMB, Snyder BA, Carofino BC. Patient self-selection does not influence postoperative improvements in pain, function, or satisfaction in ream-and-run arthroplasty patients. J Shoulder Elbow Surg. 2026;35(4):989–994. doi:10.1016/j.jse.2025.08.006. PMID: 40868275.


20. Matsen FA III, Clark JM, Titelman RM, Gibbs KM, Boorman RS, Deffenbaugh D, Korvick DL, Norman AG, Ott SM, Parsons IM IV, Sidles JA. Healing of reamed glenoid bone articulating with a metal humeral hemiarthroplasty: a canine model. J Orthop Res. 2005;23(1):18–26. doi:10.1016/j.orthres.2004.06.019. PMID: 15607870.


21. Clinton J, Franta AK, Lenters TR, Mounce D, Matsen FA III. Nonprosthetic glenoid arthroplasty with humeral hemiarthroplasty and total shoulder arthroplasty yield similar self-assessed outcomes in the management of comparable patients with glenohumeral arthritis. J Shoulder Elbow Surg. 2007;16(5):534–538. doi:10.1016/j.jse.2006.11.003. PMID: 17509900.


22. Neyton L, Kirsch JM, Collotte P, Collin P, Gossing L, Chelli M, Walch G. Mid- to long-term follow-up of shoulder arthroplasty for primary glenohumeral osteoarthritis in patients aged 60 or under. J Shoulder Elbow Surg. 2019;28(9):1666–1673. doi:10.1016/j.jse.2019.03.006. PMID: 31202630.


23. Schoch B, Werthel JD, Schleck CD, Harmsen WS, Sperling J, Sánchez-Sotelo J, Cofield RH. Optimizing follow-up after anatomic total shoulder arthroplasty. J Shoulder Elbow Surg. 2017;26(6):997–1002. doi:10.1016/j.jse.2016.10.024. PMID: 28109672.


24. Werner BC, Burrus MT, Begho I, Gwathmey FW, Brockmeier SF. Early revision within 1 year after shoulder arthroplasty: patient factors and etiology. J Shoulder Elbow Surg. 2015;24(12):e323–e330. doi:10.1016/j.jse.2015.05.035. PMID: 26163282.


25. Gauci MO, Cavalier M, Gonzalez JF, Holzer N, Baring T, Walch G, Boileau P. Revision of failed shoulder arthroplasty: epidemiology, etiology, and surgical options. J Shoulder Elbow Surg. 2020;29(3):541–549. doi:10.1016/j.jse.2019.07.034. PMID: 31594726.


26. Denard PJ, Raiss P, Sowa B, Walch G. Mid- to long-term follow-up of total shoulder arthroplasty using a keeled glenoid in young adults with primary glenohumeral arthritis. J Shoulder Elbow Surg. 2013;22(7):894–900. doi:10.1016/j.jse.2012.09.016. PMID: 23312293.


27. Walch G, Moraga C, Young A, Castellanos-Rosas J. Results of anatomic nonconstrained prosthesis in primary osteoarthritis with biconcave glenoid. J Shoulder Elbow Surg. 2012;21(11):1526–1533. doi:10.1016/j.jse.2011.11.030. PMID: 22445158.


28. Schoch B, Schleck C, Cofield RH, Sperling JW. Shoulder arthroplasty in patients younger than 50 years: minimum 20-year follow-up. J Shoulder Elbow Surg. 2015;24(5):705–710. doi:10.1016/j.jse.2014.07.016. PMID: 25306496.


29. Evans JP, Batten T, Bird J, Thomas WJ, Kitson JB, Smith CD. Survival of the Aequalis total shoulder replacement at a minimum 20-year follow-up: a clinical and radiographic study. J Shoulder Elbow Surg. 2021;30(10):2355–2360. doi:10.1016/j.jse.2021.01.038. PMID: 33675966.


30. Deshmukh AV, Koris M, Zurakowski D, Thornhill TS. Total shoulder arthroplasty: long-term survivorship, functional outcome, and quality of life. J Shoulder Elbow Surg. 2005;14(5):471–479. doi:10.1016/j.jse.2005.02.009. PMID: 16194737.


31. Evans JP, Evans JT, Craig RS, Mohammad HR, Sayers A, Blom AW, Whitehouse MR, Rees JL. How long does a shoulder replacement last? A systematic review and meta-analysis of case-series and national registry reports with more than 10 years of follow-up. Lancet Rheumatol. 2020;2(9):e539–e548. doi:10.1016/S2665-9913(20)30226-5.


Sunday, May 10, 2026

"RSA has a lower revision rate than aTSA". Why that may not mean what you think it does.

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Disclaimers: I have no relationships with any implant company. I do love anatomic total shoulder arthroplasty. The below is my attempt to analyze the available data, but there is a dearth of high-level evidence. I am not a statistician, but here I share my attempt at a deep dive into an important and hotly discussed issue. It is not a quick read, but the topic deserves the depth.

The relative merits of anatomic and reverse total shoulder arthroplasty for osteoarthritis are—and probably will forever be—hotly debated. Many factors contribute to surgeons' views on this topic, including indications, relative difficulty of the procedure, cost, need for preoperative 3D/CT-based planning, need for transfer technologies (robotics, patient-specific instruments, virtual/augmented reality), and the patient's anticipated postoperative comfort, range of motion, and function. In this post, we take a look at the contention that patients whose osteoarthritis is treated with reverse total shoulder arthroplasty have lower rates of revision than those treated with anatomic total shoulder arthroplasty.

The word on the street is that patients having reverse total shoulder arthroplasty (RSA) are less likely to undergo revision than patients having anatomic total shoulder arthroplasty (aTSA). For example, the Australian Orthopaedic Association National Joint Replacement Registry's 2025 Annual Report puts the 10-year cumulative revision rate at 7.4% for aTSA and 5.4% for RSA [1]. The 14-year figures are 9.5% and 6.4%. These numbers are often cited in support of expanding RSA into indications it was not originally designed for—including osteoarthritis with an intact rotator cuff.

Set against those numbers, a finding from O’Malley and colleagues' 2025 National Joint Registry analysis of 21,918 patients should give us pause. RSA had nearly twice the prevalence of unsatisfactory function—Oxford Shoulder Score below 29—as aTSA: 27.0% versus 15.4%. Yet RSA patients with unsatisfactory function were less than half as likely to undergo revision (4.9% vs. 10.6%, p < 0.001) [6]. The implant with the lower revision rate (RSA) is the implant under which a larger proportion of patients are living with poor function.

That paradox is the subject of this post. Two sampling biases and one structural property of the metric itself combine to make revision rate a misleading proxy for clinical success when comparing aTSA to RSA. The first is a confounding mismatch between the patient populations the two operations are performed on. The second is an attrition mechanism that systematically removes the worst outcomes from any cohort with a minimum time to follow-up. The third—and the most important one is that revision rate measures what the surgeon decides to operate on again, not what the patient is living with. Strip these out and the registry-based case for RSA in osteoarthritis with intact cuff is weak.

Two biases and a metric problem

Bias 1: The patient populations are not the same

Restricting to osteoarthritis controls for the obvious confounders of other indications such as cuff tear arthropathy and fracture; even within that restriction, the AOANJRR shows aTSA at 7.7% revision at 10 years and RSA at 5.0% [1]. But the RSA-for-OA cohort is overwhelmingly older: 87.7% of cases are in patients aged 65 or older [1]. When attention is restricted to the demographic where the operations actually compete—younger patients with osteoarthritis—the favorable RSA signal disappears. Figure 1 shows the actual curves from the registry.

Figure 1.  Cumulative percent revision from the AOANJRR 2025 Annual Report. RSA for OA in patients aged <65 (n=3,439, Table ST85) versus aTSA with a polyethylene glenoid for OA, all ages (n=5,120, Table ST44). Markers at the registry's reported time points (1, 3, 5, 7, 10, 14 years); shaded bands show 95% confidence intervals. The RSA <65 curve runs above the aTSA curve at every reported time point. At 14 years RSA <65 reaches 13.2% (95% CI 9.6–17.9) versus 9.4% (95% CI 7.8–11.1) for aTSA—the ratio of point estimates is 1.40. The wide 14-year RSA confidence interval reflects the small number of patients still under follow-up at that time point (n=53), an example of the cohort attrition discussed under Bias 2.  aTSA n-at-risk approximated from Figure ST2 of the AOANJRR 2025 report (all-diagnosis polyethylene glenoid, n=5,413) scaled to the OA-only cohort. RSA n-at-risk taken directly from Table ST85.

Cautions about this comparison are in order. The under-65 RSA-OA cohort is itself selected: these patients typically have severe pathology not amenable to aTSA, so part of their failure rate may reflect disease severity rather than implant inferiority. And the aTSA comparison group is not age-matched. Thus the registry cannot fully answer the like-for-like question—younger patient with intact cuff, RSA versus aTSA—because surgeons mostly do not choose RSA for that patient, and so the comparison cases barely exist. What the registry can show is that the apparent RSA-OA advantage in the registry headline is overwhelmingly driven by older patients for whom aTSA was never going to be offered.

Bias 2: The cohorts are themselves selectively curated

Every minimum-follow-up cohort is, by construction, a survivor cohort. To be analyzed at minimum 2, minimum 5, or minimum 10 years, a patient must have remained alive, in clinic, and with the original implants in place. Patients are excluded if their shoulder was revised before the minimum follow-up, if they died, if they were lost to follow-up, or if they left the surgeon's practice. This is not random. The mechanism is the immortal time bias formalized by Suissa: when cohort entry depends on a span of time during which the outcome of interest (e.g., survivorship to the minimum follow-up time) could not occur, the estimated event rate is systematically biased toward the experience of survivors [2]. Including only patients with minimum two-year follow-up systematically excludes those revised or deceased before two years; the percentage excluded by this immortal time effect grows for minimum five-year follow-up and grows again for minimum ten-year follow-up. This exclusion leaves a “purified” sample of patients more likely to continue life without revision and does not reflect the overall revision risk of the initial cohort.

Three independent processes drive this attrition. Khan and colleagues used Medicare claims on 108,667 elective shoulder arthroplasty patients aged 65 or older and reported 5-year mortality of 14.9% in elective non-fracture cases [3]. Torrens and colleagues prospectively tracked 251 shoulder arthroplasty patients and reported cumulative loss to follow-up of 18.3% at 2 years, 31.5% at 5 years, and 34.3% at 7 years, with older, sicker, and more obese patients selectively lost (HR 1.05 per year of age, HR 2.44 for severe obesity, HR 1.93 per ASA point) [4]. After adding exclusion for pre-threshold revision, at minimum 10-year follow-up only a minority of the original cohort—roughly a quarter to a third—remains analyzable. The minimum-10-year revision rate commonly quoted from a published series is therefore drawn from the least at-risk fraction of the original patient population.

Figure 2.  Approximate share of an original elective shoulder arthroplasty cohort still available for analysis at minimum 2-, 5-, and 10-year follow-up. Mortality components anchored to Khan 2024 [3] (14.9% at 5 years extrapolated to ~30% at 10 years); loss-to-follow-up components anchored to Torrens 2022 [4] (18.3% at 2 years, 31.5% at 5 years, extrapolated to ~36% at 10 years); pre-threshold revision approximated from registry data.

This compounds asymmetrically with the demographic confounding above. RSA cohorts are older and have higher all-cause mortality, so these cohorts lose more patients to death between landmark thresholds. RSA's particular failure modes—acromial fracture, dissatisfaction with limited internal rotation, persistent pain—are also more likely to lead to patients quietly dropping out of follow-up because there is often no good surgical option for them to consider. A published “minimum 5-year RSA-OA revision rate” of 3.5% is best read as 3.5% of the best segment of the original cohort, not the entire cohort. The same dynamic appears directly in Figure 1: at the 14-year time point the RSA <65 cohort retains only 53 of the original 3,439 patients (1.5%), producing the wide confidence interval that runs from 9.6% to 17.9%.

The metric problem: failure is not the same as revision

This is the largest of the three issues, and the one with the most specific mechanism. Revision rate is commonly used as a surrogate for clinical failure. It is a particularly poor surrogate for RSA. Parada and colleagues reported a 10.7% complication rate and 5.6% revision rate for aTSA, versus 8.9% and 2.5% for RSA, in 1,128 cases at mean follow-up of 23 months [5]. The gap between complication and revision was 3.6-fold for RSA versus 1.9-fold for aTSA. The most common RSA complication—acromial or scapular fracture (2.5%)—had a 0% revision rate [5].

O’Malley and colleagues' finding closes the loop: twice the prevalence of unsatisfactory function after RSA, and less than half the rate at which that unsatisfactory function leads to revision [6]. The lower RSA revision rate does not reflect superior implant performance. It reflects a higher threshold for revision in an older, frailer cohort, combined with failure modes that are difficult to address surgically and that surgeon and patient usually choose to accept rather than trying to fix surgically.

Figure 3.  Cumulative revision rate (light bars) and cumulative clinical failure rate (dark bars) for aTSA and RSA at minimum 2-, 5-, and 10-year follow-up. Revision rates anchored to AOANJRR registry data [1]; clinical failure rates anchored to Parada complication rates [5] and O’Malley OSS<29 prevalence [6]. The clinical-failure-to-revision ratio is approximately 3-fold for aTSA across all time points and 5- to 6-fold for RSA.

The asymmetry has a specific cause: the failure modes that drive each operation's clinical burden carry very different probabilities of leading to revision. Most of the failure modes unique to RSA produce clinical problems that rarely lead to revision.

A mode-by-mode look

Figure 4.  Estimated cumulative incidence of patients clinically affected by each failure mode (light bars) versus the proportion undergoing revision attributable to that mode (dark bars). Constructed from AOANJRR revision-cause distributions [1], Parada complication rates [5], O’Malley OSS<29 prevalence [6], systematic-review data on acromial fracture [7–9], Young secondary cuff dysfunction rates [14], Papadonikolakis glenoid radiolucency rates [10], Olson RSA instability rates [15], and Rojas baseplate loosening rates [16].

Acromial and scapular fracture. This mode is unique to RSA and represents the largest disconnect in the literature. Three independent systematic reviews place the incidence at 2.8% (Mahendraraj 2019) [8], 4.0% (Kim 2019) [9], and 5.0% (Patterson 2020) [7]. Of 208 fractures in Patterson's review, only 9 (4.3%) underwent revision arthroplasty [7]. Function deteriorates after fracture regardless of treatment. The clinical-failure-to-revision ratio is approximately 25:1.

Persistent pain. Pain is a major driver of unsatisfactory function but rarely the documented reason for revision. The OSS<29 prevalence in O’Malley—15.4% for aTSA and 27.0% for RSA—captures pain alongside stiffness, ADL limitation, and overall functional compromise [6]. The cleanest reading is the one O’Malley reports directly: RSA patients with poor function are less than half as likely as aTSA patients with poor function to be revised. Some unknown proportion of persistent pain after shoulder arthroplasty represents occult Cutibacterium infection that goes undiagnosed; Pottinger and colleagues showed that 22% of revisions performed for stiffness, pain, or loosening had positive cultures for Cutibacterium despite being categorized clinically as aseptic [11]. Patients with low-grade unrecognized infection who do not undergo revision are invisible in registry data altogether.

Cuff and subscapularis failure. This mode is aTSA-specific. Cuff insufficiency accounts for roughly a quarter of aTSA-OA revisions in the AOANJRR data [1]. The actual prevalence of post-aTSA cuff failure is substantially higher. Young and colleagues, in a multicenter European study of 518 aTSAs followed for a mean of 8.6 years, reported a 16.8% rate of secondary rotator cuff dysfunction, with Kaplan–Meier survivorship free of secondary cuff dysfunction of 100% at 5 years, 84% at 10 years, and 45% at 15 years [14]. Most of this dysfunction was managed with rehabilitation or accepted as part of the clinical course; only a fraction underwent revision. RSA bypasses the rotator cuff biomechanically, so this mode does not apply to RSA. Importantly, aTSA failure due to cuff or glenoid component issues can be revised to RSA with patient-reported outcome improvements [12,13]—a salvage option that is less successful for some of the major RSA-specific failure modes.

Asymptomatic glenoid radiolucency and loosening. aTSA-specific. Papadonikolakis, Neradilek, and Matsen's 2013 systematic review of 27 articles representing 3,853 aTSAs reported asymptomatic glenoid radiolucent lines accumulating at 7.3% per year, symptomatic loosening at 1.2% per year, and surgical revision for loosening at 0.8% per year [10]. Radiographically apparent loosening occurs approximately nine times more frequently than revision. Most asymptomatic radiolucent lines do not progress to clinical failure within the patient's lifetime, but those that do represent a substantial population not captured in revision rates.

Dislocation and instability. Both operations can fail by this mode, but RSA more often. Olson and colleagues' systematic review of 17 studies including 7,885 RSAs reported a pooled instability rate of 2.5%, ranging from 1–5% in primary RSA cohorts and 1–49% in revision RSA [15]. Across studies, treatment was successful with closed reduction and casting in 28–100% of cases and with revision RSA in 55–100%; recurrent instability often required hemiarthroplasty or resection. The clinical-failure-to-revision ratio for instability is approximately 1.5:1 to 2:1—smaller than for the modes above, but RSA-specific risk factors (subscapularis insufficiency, proximal humerus fracture, fracture sequelae) load this mode disproportionately onto the older RSA-for-fracture population.

Baseplate failure (RSA) and overt infection (both RSA and aTSA). These are the modes with the smallest disconnect. Aseptic glenoid baseplate loosening is rare: Rojas and colleagues' meta-analysis of 103 studies including 6,583 RSAs reported a pooled prevalence of 1.16% (95% CI 0.80–1.69%), with 0.90% in primary RSA and 1.69% in revision RSA [16]. When symptomatic, baseplate loosening almost always progresses to revision. Overt infection is similarly almost always revised. Both modes have clinical-failure-to-revision ratios close to 1:1—but the Pottinger finding indicates that the population of patients with low-grade unrecognized infection may be substantially larger than overt-infection counts suggest, and many of those patients neither receive a revision nor appear in registry infection data [11].

Bottom line

The AOANJRR shows a population-level revision-rate advantage for RSA over aTSA. It does not show a like-for-like advantage. Two sampling biases compound: an age and indication mismatch that places most RSA-for-OA cases in older patients to whom aTSA was never going to be offered, and an immortal time bias that removes most of an original cohort from the analyzed group at the 10-year mark, with the older RSA population hit hardest. The third issue is structural rather than statistical. Revision rate measures the surgeon's and patient's thresholds for re-operation, and does not reflect the patient's clinical outcome. The clinical-failure-to-revision ratio is two to three times larger for RSA than for aTSA.

This is not an artifact. It has a specific mechanism. RSA's distinctive failure modes—acromial fracture, persistent pain, scapular notching, dissatisfaction with internal rotation—are largely uncountable in revision data because there is often no good surgical option to consider. By contrast, aTSA failures from cuff or subscapularis tear and from glenoid component loosening can be revised to RSA with clinically significant outcome improvements [12,13]. Revision rate as a quality metric privileges the operation (RSA) whose failures are less likely to be surgically correctable.

Evidence for restricting RSA to its established indications—cuff arthropathy, irreparable cuff tear, selected fractures—rather than expanding it into osteoarthritis with intact cuff is present in the AOANJRR's data.


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References

1. Australian Orthopaedic Association National Joint Replacement Registry. Hip, Knee and Shoulder Arthroplasty: 2025 Annual Report. Adelaide: AOA; 2025. Available from: https://aoanjrr.sahmri.com/annual-reports-2025. Data period 1 September 1999 – 31 December 2024.

2. Suissa S. Immortal time bias in pharmacoepidemiology. Am J Epidemiol. 2008;167(4):492–499. doi:10.1093/aje/kwm324. PMID: 18056625.

3. Khan AZ, Zhang X, Macarayan E, et al. Five-year mortality rates following elective shoulder arthroplasty and shoulder arthroplasty for fracture in patients over age 65. JBJS Open Access. 2024;9(2):e23.00133. doi:10.2106/JBJS.OA.23.00133. PMID: 38685966.

4. Torrens C, Martínez R, Santana F. Patients lost to follow-up in shoulder arthroplasty: descriptive characteristics and reasons. Clin Orthop Surg. 2022;14(1):112–118. doi:10.4055/cios21034. PMID: 35251548.

5. Parada SA, Flurin PH, Wright TW, Zuckerman JD, Elwell JA, Roche CP, Friedman RJ. Comparison of complication types and rates associated with anatomic and reverse total shoulder arthroplasty. J Shoulder Elbow Surg. 2021;30(4):811–818. doi:10.1016/j.jse.2020.07.028. PMID: 32763380.

6. O’Malley O, Davies A, Rangan A, Sabharwal S, Reilly P. Is there a difference in thresholds for revision between shoulder arthroplasty types? A National Joint Registry study. PLoS One. 2025;20(8):e0330975. doi:10.1371/journal.pone.0330975. PMID: 40857270.

7. Patterson DC, Chi D, Parsons BO, Cagle PJ. Acromial spine fracture after reverse total shoulder arthroplasty: a systematic review. J Shoulder Elbow Surg. 2019;28(4):792–801. doi:10.1016/j.jse.2018.08.033. PMID: 30497925.

8. Mahendraraj KA, Abboud J, Armstrong A, et al. How common are acromial and scapular spine fractures after reverse shoulder arthroplasty? A systematic review. Bone Joint J. 2019;101-B(6):627–634. doi:10.1302/0301-620X.101B6.BJJ-2018-1187.R1. PMID: 31154841.

9. Kim HM, Chung J, Jeong CW, Yoon JR. Is acromial fracture after reverse total shoulder arthroplasty a negligible complication? A systematic review. Clin Orthop Surg. 2019;11(4):427–435. doi:10.4055/cios.2019.11.4.427. PMID: 31788166.

10. Papadonikolakis A, Neradilek MB, Matsen FA 3rd. Failure of the glenoid component in anatomic total shoulder arthroplasty: a systematic review of the English-language literature between 2006 and 2012. J Bone Joint Surg Am. 2013;95(24):2205–2212. doi:10.2106/JBJS.L.00552. PMID: 24352774.

11. Pottinger P, Butler-Wu S, Neradilek MB, Merritt A, Bertelsen A, Jette JL, Warme WJ, Matsen FA 3rd. Prognostic factors for bacterial cultures positive for Propionibacterium acnes and other organisms in a large series of revision shoulder arthroplasties performed for stiffness, pain, or loosening. J Bone Joint Surg Am. 2012;94(22):2075–2083. doi:10.2106/JBJS.K.00861. PMID: 23172325.

12. Al-Asadi M, Rajapaksege N, Abdel Khalik H, Abesteh J, Athwal GS, Khan M. Outcomes and complications of failed anatomic shoulder arthroplasty revised with reverse arthroplasty: a systematic review. J Shoulder Elbow Surg. 2025;34(7):1832–1840.

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