Abstract
Background
Shoulder arthroplasty utilization has increased substantially, with a growing proportion of cases performed by surgeons early in the learning curve. Surgeon-volume definitions vary widely across the literature, and although higher volume is generally associated with better outcomes, there is no consensus on the thresholds that define high volume. This study aimed to determine shoulder arthroplasty cases/yr thresholds at which complication and revision risks diverge between low- and high-volume surgeons.
Methods
PubMed, Cochrane, and Google Scholar were queried through December 2025. Inclusion criteria consisted of comparative studies evaluating the number of complications and revisions after shoulder arthroplasty across different categories of surgeon experience. Five different thresholds of cases/yr were established to perform the analysis and define high- and low-volume surgeons: 5 cases/yr, 10 cases/yr, 14 cases/yr, 20 cases/yr, and 25–28 cases/yr.
Results
Eight studies with 332,542 patients were included. At the 5 cases/yr threshold, low-volume surgeons had higher odds of complications (odds ratio [OR] = 1.41; 95% confidence interval [CI], 1.28–1.55; P< .001) and revision (OR = 1.41; 95% CI, 1.28–1.57; P< .001). At the 10 cases/yr threshold, there were no differences in complications (OR = 1.21; 95% CI, 0.94–1.56; P= .14) or revision (OR = 1.18; 95% CI, 0.90–1.54; P= .22). At the 14 cases/yr threshold, revisions were similar (OR = 1.15; 95% CI, 0.89–1.48; P= .28). At the 20 cases/yr threshold, revision did not differ (OR = 1.15; 95% CI, 0.87–1.52; P= .34). At the 25–28 cases/yr threshold, low-volume surgeons had higher odds of complications (OR = 1.39; 95% CI, 1.11–1.75; P= .004) and revision (OR = 1.22; 95% CI, 1.15–1.30; P< .001).
Conclusion
This study identified surgeon-volume thresholds for shoulder arthroplasty of 5 cases/yr and 25–28 cases/yr, which may possibly define low-to-medium and medium-to-high-volume thresholds, respectively. Patients treated by surgeons below these thresholds had higher risks of complications and revision compared with those treated by surgeons above the respective thresholds.
Keywords: Arthroplasty, Shoulder, Surgeons, Experience, Volume, Complications, Reoperation, Meta-analysis
The incidence of shoulder arthroplasty has increased substantially, accompanied by a corresponding increase in the number of surgeons performing these procedures. Between 2011 and 2017, the number of shoulder arthroplasty increased by over 100% in the United States.30 Consequently, revision procedure volumes have also increased, carrying critical financial implications.5 The presence of a learning curve with the use of a new prosthesis or surgical technique is well recognized,5 with early phases characterized by longer operative times, higher complication rates, and increased risk of reoperation.2,33 These trends highlight the growing importance of understanding how surgeon experience influences outcomes in modern shoulder arthroplasty.
Thresholds used to define surgeon volume vary widely across the existing literature, with low-volume categories defined as fewer than 2 to fewer than 10 cases annually and high-volume definitions spanning more than 5 to 20 cases per year.5,16,29,32 Ramkumar et al defined surgeons performing 0–4 cases annually as low volume, 5–14 as medium volume, and ≥15 as high volume.23 Higher surgeon volume has been associated with improved outcomes and economic benefit and vice versa.13,17,23 Surgeons performing ≥10 shoulder arthroplasties annually demonstrate a 27% reduction in the odds of revision, with a 33% reduction observed among those performing ≥29 cases compared with surgeons performing fewer than 4 cases per year.4 Further evidence confirms that surgeons performing fewer than 10 cases annually have significantly higher revision rates in the early postoperative period for both anatomic and reverse shoulder arthroplasty.5 Similarly, length of stay and hospital cost decreased significantly across progressively higher surgeon and hospital volume categories.23 Collectively, these findings demonstrate that surgeon volume influences not only clinical outcomes but also economic efficiency, while highlighting the lack of consensus regarding the optimal volume thresholds that define proficiency.
Despite extensive literature demonstrating associations between surgeon volume and outcomes, clinically meaningful and reproducible thresholds remain inadequately defined. Moreover, it remains uncertain whether a surgeon volume threshold exists beyond which complication rates no longer differ meaningfully between lower- and higher-volume surgeons. Accordingly, the purpose of this study was to perform a systematic review and meta-analysis to determine shoulder arthroplasty cases/yr thresholds at which complication and revision risks diverge between low- and high-volume surgeons.
Material and methods
Search strategy
Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, PubMed, Cochrane, and Google Scholar (pages 1-20) were accessed and explored until December 2025 using the following keywords “Experience,” “volume,” “shoulder,” “arthroplasty,” and “replacement” to find articles assessing the impact of surgeon's volume on complications and revisions after shoulder arthroplasty. Additional articles were identified by reviewing reference lists from relevant articles. Two reviewers determined the eligibility of the included studies independently. While one author extracted the data, another author confirmed the accuracy of the extracted data. If present, differences between the investigators were resolved by tiebreaker via a third independent reviewer throughout the search and inclusion stages (Fig. 1).
Figure 1.
PRISMA flowchart for article selection process. PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses.
We specifically looked at articles comparing the number of complications and revisions after primary shoulder arthroplasty (hemiarthroplasty, anatomic total shoulder arthroplasty, or reverse shoulder arthroplasty) across different categories of surgeon experience. Inclusion criteria consisted of comparative English and non-English-language articles. There were no restrictions on language. Nevertheless, all of the included articles were in English. Therefore, specific handling for non-English articles was not required. Exclusion criteria consisted of articles comparing the outcomes across different categories of hospital volume, studies not reporting on complications/revisions, studies assessing outcomes for the same surgeon across the different stages of the learning curve, or studies using the same cohort of patients.1,6, 7, 8, 9,12,14, 15, 16,18,22, 23, 24, 25, 26, 27,29,31
Data extraction
The eligibility of the included studies was independently determined by 2 reviewers. Extracted data included complications and revisions. For studies that only reported revisions without complications, we considered the rate of complications is similar to the rate of revisions to increase the power in the complications analysis. To accommodate the heterogeneity of the definition of high- and low-volume surgeons (HVS/LVS) in the included studies, we used 5 different thresholds of cases/yr to perform the analysis: 5 cases/yr, 10 cases/yr, 14 cases/yr, 20 cases/yr, and 25–28 cases/yr. The selected thresholds were based on the surgeon-volume cutoffs reported in the included studies. Given the heterogeneity in how surgeon volume was defined across the literature, we grouped the most commonly represented and clinically comparable thresholds to facilitate pooled analysis.
Risk of bias assessment
The Risk Of Bias In Non-randomized Studies - of Interventions (ROBINS-I) tool was used to assess the risk of bias in the included studies by 2 authors independently.28 Studies were excluded if they had a critical risk of bias.
Statistical analysis
Review Manager 5.4 (The Cochrane Collaboration, 2020) was implemented for the statistical analysis. Odds ratio (OR) was utilized for dichotomous data. Heterogeneity was evaluated by Q tests and I2 statistics. If considerable heterogeneity was indicated by P< .05 or I2> 50%, a random-effects model was used. Otherwise, the fixed-effect model was implemented. Statistical significance was defined as P≤ .05.
Results
Eight retrospective articles met the inclusion criteria including 332,452 patients.4,5,10,11,13,19, 20, 21
Five cases/year threshold
Characteristics of the included studies
Four retrospective articles met the inclusion criteria.4,13,19,20 These studies included 129,582 patients, with 18,995 in the LVS group and 110,587 in the HVS group. The thresholds to define LVS in the included studies ranged from 1.6 to 5 cases/yr, while the thresholds for HVS ranged from 5 to 10 cases/yr. The main characteristics of the included studies are summarized in Table I.
Table I.
Characteristics of the included studies in the 5 cases/year threshold analysis.
| Author, yr | Study design | Database and period | Threshold | Surgery | Patients |
Age (yr) |
Follow-up |
|||
|---|---|---|---|---|---|---|---|---|---|---|
| LV | HV | LV | HV | LV | HV | |||||
| Best et al 20234 | Retrospective | Centers for Medicare & Medicaid Services Database 2015-2021 |
LV: ≤3 cases/yr HV:>10 cases/yr |
Anatomic and reverse total shoulder arthroplasty | 11,812 | 107,890 | 72 | 73 | 2 yr | |
| Hammond et al 200318 | Retrospective | Maryland Health Services Cost Review Commission 1994-2000 |
LV: ≤1.6 cases/yr HV:>7.5 cases/yr |
Anatomic total shoulder arthroplasty and hemiarthroplasty | 1393 | 475 | 68 | NA | ||
| Jain et al 201325 | Retrospective | Nationwide Inpatient Sample 2001-2008 |
LV: ≤5 cases/yr HV:>5 cases/yr |
Hemiarthroplasty for proximal humerus fractures | 4,361 | 1435 | NA | NA | ||
| Kim et al 202326 | Retrospective | The Commercial Claims and Encounters and the Medicare Supplemental and Coordination of Benefits Marketscan Research databases 2017-2019 |
LV: ≤5 cases/yr HV:>5 cases/yr |
Anatomic and reverse total shoulder arthroplasty | 1429 | 787 | 64 | 68 | 1 yr | |
LV, low volume; HV, high volume.
Outcomes
Four studies reported data on complications including 129,582 patients (LVS: 18,995 patients; HVS: 110,587 patients), and 2 studies reported data on revisions including 121,918 patients (LVS: 13,241 patients; HVS: 108,677 patients). The LVS group had a higher rate of complications (3.7% vs. 2.6%; OR = 1.41; 95% confidence interval [CI]: 1.28–1.55; P< .001, Fig. 2A) and revisions (3.5% vs. 2.6%; OR = 1.41; 95% CI: 1.28–1.57; P< .001, Fig. 2B) compared to the HVS group.
Figure 2.
(A) Forest plot showing the difference in the rate of complications for a threshold of 5 cases/yr. (B) Forest plot showing the difference in the rate of revisions for a threshold of 5 cases/yr. LVS, low-volume surgeons; HVS, high-volume surgeons; CI, confidence interval.
Ten cases/year threshold
Characteristics of the included studies
Four retrospective articles met the inclusion criteria.4,5,19,20 These studies included 176,784 patients, with 55,140 in the LVS group and 121,644 in the HVS group. The thresholds to define LVS in the included studies ranged from 5 to 10 cases/yr, while the thresholds for HVS ranged from 10 to 15 cases/yr. The main characteristics of the included studies are summarized in Table II.
Table II.
Characteristics of the included studies in the 10 cases/year threshold analysis.
| Author, yr | Study design | Database and period | Threshold | Surgery | Patients |
Age (yr) |
Follow-up |
|||
|---|---|---|---|---|---|---|---|---|---|---|
| LV | HV | LV | HV | LV | HV | |||||
| Best et al 20234 | Retrospective | Centers for Medicare & Medicaid Services Database 2015-2021 |
LV: ≤9 cases/yr HV:>10 cases/yr |
Anatomic and reverse total shoulder arthroplasty | 44,002 | 107,890 | 72 | 73 | 2 yr | |
| Brown et al 20206 | Retrospective | Australian registry 2004-2017 |
LV: ≤10 cases/yr HV:>10 cases/yr |
Anatomic total shoulder arthroplasty and hemiarthroplasty | 5,348 | 13,048 | NA | 9 yr | ||
| Jain et al 201325 | Retrospective | Nationwide Inpatient Sample 2001-2008 |
LV: ≤5 cases/yr HV:>15 cases/yr |
Hemiarthroplasty for proximal humerus fractures | 4,361 | 419 | NA | NA | ||
| Kim et al 202326 | Retrospective | The Commercial Claims and Encounters and the Medicare Supplemental and Coordination of Benefits Marketscan Research databases 2017-2019 |
LV: ≤5 cases/yr HV:>15 cases/yr |
Anatomic and reverse total shoulder arthroplasty | 1429 | 287 | 64 | 69 | 1 yr | |
LV, low volume; HV, high volume.
Outcomes
Four studies reported data on complications including 176,784 patients (LVS: 55,140 patients; HVS: 121,644 patients), and 2 studies reported data on revisions including 121,918 patients (LVS: 13,241 patients; HVS: 108,677 patients). There was no difference in the rate of complications (OR = 1.21; 95% CI: 0.94–1.56; P= .14, Fig. 3A) and revisions (OR = 1.18; 95% CI: 0.90–1.54; P= .22, Fig. 3B) between the 2 groups.
Figure 3.
(A) Forest plot showing the difference in the rate of complications for a threshold of 10 cases/yr. (B) Forest plot showing the difference in the rate of revisions for a threshold of 10 cases/yr. LVS, low-volume surgeons; HVS, high-volume surgeons; CI, confidence interval.
Fourteen cases/year threshold
Characteristics of the included studies
Three retrospective articles met the inclusion criteria.4,5,10 These studies included 142,599 patients, with 56,722 in the LVS group and 85,877 in the HVS group. The thresholds to define LVS in the included studies ranged from 9 to 14 cases/yr, while the thresholds for HVS ranged from 14 to 29 cases/yr. The main characteristics of the included studies are summarized in Table III.
Table III.
Characteristics of the included studies in the 14 cases/year threshold analysis.
| Author, yr | Study design | Database and period | Threshold | Surgery | Patients |
Age (yr) |
Follow-up |
|||
|---|---|---|---|---|---|---|---|---|---|---|
| LV | HV | LV | HV | LV | HV | |||||
| Best et al 20234 | Retrospective | Centers for Medicare & Medicaid Services Database 2015-2021 |
LV: ≤9 cases/yr HV:>29 cases/yr |
Anatomic and reverse total shoulder arthroplasty | 44,002 | 57,232 | 72 | 72 | 2 yr | |
| Brown et al 20206 | Retrospective | Australian registry 2004-2017 |
LV: ≤10 cases/yr HV:>20 cases/yr |
Anatomic total shoulder arthroplasty and hemiarthroplasty | 5,348 | 6,619 | NA | 9 yr | ||
| Gill et al 202514 | Retrospective | Australian registry 2017-2022 |
LV: ≤14 cases/yr HV:>14 cases/yr |
Anatomic total shoulder arthroplasty and hemiarthroplasty | 7,372 | 22,026 | NA | 5 yr | ||
LV, low volume; HV, high volume.
Outcomes
Three studies reported data on revisions including 142,599 patients (LVS: 56,722 patients; HVS: 85,877 patients), with no studies reporting data on complications. There was no difference in the rate of revisions between the 2 groups (OR = 1.15; 95% CI: 0.89–1.48; P= .28, Fig. 4).
Figure 4.
Forest plot showing the difference in the rate of revisions for a threshold of 14 cases/yr. LVS, low-volume surgeons; HVS, high-volume surgeons; CI, confidence interval.
Twenty cases/year threshold
Characteristics of the included studies
Three retrospective articles met the inclusion criteria.4,5,10 These studies included 141,687 patients, with 63,151 in the LVS group and 78,536 in the HVS group. The thresholds to define LVS in the included studies ranged from 9 to 20 cases/yr, while the thresholds for HVS ranged from 20 to 29 cases/yr. The main characteristics of the included studies are summarized in Table IV.
Table IV.
Characteristics of the included studies in the 20 cases/year threshold analysis.
| Author, yr | Study design | Database and period | Threshold | Surgery | Patients |
Age (yr) |
Follow-up |
|||
|---|---|---|---|---|---|---|---|---|---|---|
| LV | HV | LV | HV | LV | HV | |||||
| Best et al 20234 | Retrospective | Centers for Medicare & Medicaid Services Database 2015-2021 |
LV: ≤9 cases/yr HV:>29 cases/yr |
Anatomic and reverse total shoulder arthroplasty | 44,002 | 57,232 | 72 | 72 | 2 yr | |
| Brown et al 20206 | Retrospective | Australian registry 2004-2017 |
LV: ≤20 cases/yr HV:>20 cases/yr |
Anatomic total shoulder arthroplasty and hemiarthroplasty | 11,777 | 6,619 | NA | 9 yr | ||
| Gill et al 202514 | Retrospective | Australian registry 2017-2022 |
LV: ≤14 cases/yr HV:>26 cases/yr |
Anatomic total shoulder arthroplasty and hemiarthroplasty | 7,372 | 14,685 | NA | 5 yr | ||
LV, low volume; HV, high volume.
Outcomes
Three studies reported data on revisions including 141,687 patients (LVS: 63,151 patients; HVS: 78,536 patients), with no studies reporting data on complications. There was no difference in the rate of revisions between the 2 groups (OR = 1.15; 95% CI: 0.87–1.52; P= .34, Fig. 5).
Figure 5.
Forest plot showing the difference in the rate of revisions for a threshold of 20 cases/yr. LVS, low-volume surgeons; HVS, high-volume surgeons; CI, confidence interval.
Twenty-five–28 cases/year threshold
Characteristics of the included studies
Four retrospective articles met the inclusion criteria.4,10,11,21 These studies included 304,266 patients, with 194,120 in the LVS group and 110,146 in the HVS group. The thresholds to define LVS in the included studies ranged from 25 to 28 cases/yr, while the thresholds for HVS ranged from 25 to 29 cases/yr. The main characteristics of the included studies are summarized in Table V.
Table V.
Characteristics of the included studies in the 25–28 cases/year threshold analysis.
| Author, yr | Study design | Database and period | Threshold | Surgery | Patients |
Age (yr) |
Follow-up |
|||
|---|---|---|---|---|---|---|---|---|---|---|
| LV | HV | LV | HV | LV | HV | |||||
| Best et al 20234 | Retrospective | Centers for Medicare & Medicaid Services Database 2015-2021 |
LV: ≤28 cases/yr HV:>29 cases/yr |
Anatomic and reverse total shoulder arthroplasty | 94,660 | 57,232 | 72 | 72 | 2 yr | |
| Gill et al 202514 | Retrospective | Australian registry 2017-2022 |
LV: ≤25 cases/yr HV:>25 cases/yr |
Anatomic total shoulder arthroplasty and hemiarthroplasty | 14,713 | 14,685 | NA | 5 yr | ||
| Girdler et al 202315 | Retrospective | Centers for Medicare & Medicaid Services Database 2016-2018 |
LV: ≤28 cases/yr HV:>28 cases/yr |
Reverse total shoulder arthroplasty | 61,971 | 28,347 | 75 | 74 | 3 mo | |
| Liu et al 202527 | Retrospective | Premier Healthcare Database 2016-2019 | LV: ≤25 cases/yr HV:>25 cases/yr |
Anatomic total shoulder arthroplasty | 22,776 | 9,882 | 67 | 67 | 2 yr | |
LV, low volume; HV, high volume.
Outcomes
Three studies reported data on complications including 152,374 patients (LVS: 99,460 patients; HVS: 52,914 patients), and 3 studies reported data on revisions including 213,948 patients (LVS: 132,149 patients; HVS: 81,799 patients). The LVS group had a higher rate of complications (1.7% vs. 1.5%; OR = 1.39; 95% CI: 1.11–1.75; P= .004, Fig. 6A) and revisions (2.5% vs. 2.2%; OR = 1.22; 95% CI: 1.15–1.30; P< .001, Fig. 6B) compared to the HVS group.
Figure 6.
(A) Forest plot showing the difference in the rate of complications for a threshold of 25–28 cases/yr. (B) Forest plot showing the difference in the rate of revisions for a threshold of 25–28 cases/yr. LVS, low-volume surgeons; HVS, high-volume surgeons; CI, confidence interval.
Discussion
Several studies have established the link between surgeon volume and experience and outcomes after shoulder arthroplasty.4,5,19,20 However, most of the studies do not use the same thresholds to define separate high-, medium-, and low-volume surgeons. Therefore, in our meta-analysis, we were able to establish 5 cases/yr and 25–28 cases/yr as 2 thresholds which may possibly define transition points from low-to-medium and medium-to-high-volume thresholds since patients operated on by surgeons performing less than these thresholds had higher risks of getting a complication or revision after shoulder arthroplasty compared to surgeons performing more cases than the defined thresholds.
By performing a stratum-specific likelihood ratio analysis, Ramkumar et al reported that shoulder arthroplasty surgeons could be stratified into low (0-4), medium (5-14), and high (15 or more) volume in terms of both length of stay and costs.23 In our study, we were able to define different categories as well in terms of complications and reoperations using a different statistical method. Our findings show that the relationship between volume and outcomes is nonlinear with 2 distinct inflection points. Performing more than 5 cases/yr could be the learning curve that is required to achieve competency in shoulder arthroplasty, followed by a plateau phase between 5 and 25 cases/yr. However, beyond 25–28 cases/yr, the second inflection point, surgeons may become more specialized (ie, high volume) and may be able to perform shoulder arthroplasty with further reduction in complications and revisions, as they acquire experience and refine surgical judgment in this procedure.
Establishing a threshold of cases/yr where adverse events are reduced is important for surgeons and patients alike. Community surgeons can use this threshold to decide whether or not to do the surgery themselves or refer it to a specialist in order to provide the best possible care and outcomes for the patients. Furthermore, these thresholds could be used by residency and fellowship programs as benchmarks for trainee education. In addition, patients could use these criteria when selecting a surgeon to perform their shoulder arthroplasty. However, volume is only one of several other considerations that should be taken into account when choosing a surgeon or center. While a cost analysis was not performed, our results may have important economic implications. Shoulder arthroplasty accounts for more than $1.8 billion in costs to US hospitals/yr, with the rate of both primary and revision arthroplasty increasing.3 Thus, the reduction of revision rate beyond our defined thresholds may support programs such as employer healthcare plans that partner with high-volume centers of excellence.4 Moreover, variations in bundled payments according to surgeon volume and outcomes could be an incentive for higher-volume surgeons or a way to reduce costs.4
To our knowledge, this is the first meta-analysis to identify surgeon volume thresholds associated with lower adverse event rates after shoulder arthroplasty. This study offers a sizable patient cohort from several settings, facilitating the generalization of the results and directing preoperative expectations and conversations for both the surgeon and the patient. Nevertheless, this study has several limitations. As a systematic review, the results of this meta-analysis are pooled. Therefore, granular data such as implant type and intraoperative variables that might affect outcomes were not accounted for. Furthermore, due to the low number of included studies, we were not able to perform a subanalysis by indication or by type of implant, which can affect the incidence of complications. In fact, most included studies did not differentiate outcomes between anatomic and reverse total shoulder arthroplasty, precluding the identification of procedure-specific volume thresholds. Additionally, complications were frequently reported as aggregate outcomes without detailed classification, limiting our ability to determine which specific complications are most influenced by surgeon volume. Another limitation relates to the inclusion of studies conducted over a wide time span, including older studies in which surgical techniques, implant design, and perioperative management differ from contemporary practice. While these temporal differences may affect the absolute rates of complications and revisions, the relative association between surgeon volume and outcomes is likely to remain consistent. Nevertheless, the findings should be interpreted in the context of evolving surgical practice. Despite these drawbacks, this study offers a sizable patient cohort from several settings, facilitating the generalization of the results and directing preoperative expectations and conversations for both the surgeon and the patient.
Conclusion
This study identified surgeon-volume thresholds for shoulder arthroplasty of 5 cases/yr and 25–28 cases/yr, which may possibly define low-to-medium and medium-to-high-volume thresholds, respectively. Patients treated by surgeons below these thresholds had higher risks of complications and revision compared with those treated by surgeons above the respective thresholds. Future research should validate our thresholds in terms of functional outcomes and operative metrics in order to optimize patient outcomes.
Disclaimers:
Funding: No funding was disclosed by the authors.
Conflicts of interest: Scott P. Steinmann would like to disclose the following: Board of Directors or committee member, self: AAOS Fellowship Committee Chair; other professional activities: Stryker Corporation, Zimmer Biomet Holdings, Inc., Elsevier, and Sonex Health, Inc.
Joseph A. Abboud would like to disclose royalties from Osteocentric Technologies, Enovis, Zimmer Biomet, Stryker, and Globus Medical; has stock or stock options held in Shoulder Jam, Aevumed, Oberd, OTS Medical, Orthobullets, Atreon, and Restore 3D; has received research or institutional support from Enovis and Arthrex; serves as a board member, owner, officer, or committee member of American Shoulder and Elbow Society, MID Atlantic Shoulder and Elbow Society, Shoulder 360, and Pacira.
Hafiz F. Kassam would like to disclose consulting fees from Zimmer Biomet.
Any additional authors, their immediate families, and any research foundations with which they are affiliated have not received any financial payments or other benefits from any commercial entity related to the subject of this article.
Footnotes
Institutional review board approval was not required for this study.
References
- 1.Alonso Pérez-Barquero J., Aroca Navarro J.E., Navarro Bosch M., de la Calva Ceinos C., Pina Medina A. Scapular notching in reverse shoulder arthroplasty. Relationship with surgeons experience and clinical outcomes. Rev Esp Cir Ortop Traumatol. 2022;66:3–9. doi: 10.1016/j.recot.2021.01.006. [DOI] [PubMed] [Google Scholar]
- 2.Avendano J.P., Sudah S.Y., Gencarelli P., Imam N., Manzi J.E., Ghajar M., et al. The learning curve for anatomic and reverse total shoulder arthroplasty: a systematic review. JSES Rev Rep Tech. 2022;3:150. doi: 10.1016/J.XRRT.2022.12.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Best M.J., Aziz K.T., McFarland E.G., Anderson G.F., Srikumaran U. Economic implications of decreased elective orthopaedic and musculoskeletal surgery volume during the coronavirus disease 2019 pandemic. Int Orthop. 2020;44:2221–2228. doi: 10.1007/s00264-020-04713-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Best M.J., Fedorka C.J., Haas D.A., Zhang X., Khan A.Z., Armstrong A.D., et al. Higher surgeon volume is associated with a lower rate of subsequent revision procedures after total shoulder arthroplasty: a national analysis. Clin Orthop Relat Res. 2023;481:1572–1580. doi: 10.1097/CORR.0000000000002605. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Brown J.S., Gordon R.J., Peng Y., Hatton A., Page R.S., Macgroarty K.A. Lower operating volume in shoulder arthroplasty is associated with increased revision rates in the early postoperative period: long-term analysis from the Australian Orthopaedic Association National Joint Replacement Registry. J Shoulder Elbow Surg. 2020;29:1104–1114. doi: 10.1016/j.jse.2019.10.026. [DOI] [PubMed] [Google Scholar]
- 6.Carducci M.P., Mahendraraj K.A., Menendez M.E., Rosen I., Klein S.M., Namdari S., et al. Identifying surgeon and institutional drivers of cost in total shoulder arthroplasty: a multicenter study. J. Shoulder Elbow Surg. 2021;30:113–119. doi: 10.1016/j.jse.2020.04.033. [DOI] [PubMed] [Google Scholar]
- 7.Clark J.C., Simon P., Clark R.E., Christmas K.N., Allert J.W., Streit J.J., et al. The influence of patient- and surgeon-specific factors on operative duration and early postoperative outcomes in shoulder arthroplasty. J Shoulder Elbow Surg. 2017;26:1011–1016. doi: 10.1016/j.jse.2016.10.025. [DOI] [PubMed] [Google Scholar]
- 8.Day J.S., Paxton E.S., Lau E., Gordon V.A., Abboud J.A., Williams G.R. Use of reverse total shoulder arthroplasty in the Medicare population. J Shoulder Elbow Surg. 2015;24:766–772. doi: 10.1016/j.jse.2014.12.023. [DOI] [PubMed] [Google Scholar]
- 9.Farley K.X., Schwartz A.M., Boden S.H., Daly C.A., Gottschalk M.B., Wagner E.R. Defining the volume-outcome relationship in reverse shoulder arthroplasty: a nationwide analysis. J Bone Joint Surg Am. 2020;102:388–396. doi: 10.2106/JBJS.19.01012. [DOI] [PubMed] [Google Scholar]
- 10.Gill D.R.J., Corfield S., Du P., McAuliffe M.J. The changing effect of surgeon volume on revision rates in shoulder arthroplasty with time in Australia. J Shoulder Elbow Surg. 2025;34:2405–2413. doi: 10.1016/j.jse.2025.01.037. [DOI] [PubMed] [Google Scholar]
- 11.Girdler S.J., Maza N., Lieber A.M., Vervaecke A., Kodali H., Zubizarreta N., et al. Impact of surgeon case volume on outcomes after reverse total shoulder arthroplasty. J Am Acad Orthop Surg. 2023;31:1228–1235. doi: 10.5435/JAAOS-D-23-00181. [DOI] [PubMed] [Google Scholar]
- 12.Greif D.N., Castle P., Ramirez G., Thirukumaran C., Voloshin I., Mannava S. Annual hospital surgical volume and patient medical complexity affect length of stay for rTSA but not overall risk of complications following TSA, rTSA, and revision TSA. J Shoulder Elbow Surg. 2025;35:872–882. doi: 10.1016/j.jse.2025.07.021. [DOI] [PubMed] [Google Scholar]
- 13.Hammond J.W., Queale W.S., Kim T.K., McFarland E.G. Surgeon experience and clinical and economic outcomes for shoulder arthroplasty. J Bone Joint Surg Am. 2003;85:2318–2324. doi: 10.2106/00004623-200312000-00008. [DOI] [PubMed] [Google Scholar]
- 14.Harkin W., Berreta R.S., Williams T., Turkmani A., Scanaliato J.P., McCormick J.R., et al. The effect of surgeon volume on complications after total shoulder arthroplasty: a nationwide assessment. J. Shoulder Elbow Surg. 2025;34:1112–1119. doi: 10.1016/j.jse.2024.07.025. [DOI] [PubMed] [Google Scholar]
- 15.Hasan S.S., Leith J.M., Smith K.L., Matsen F.A. The distribution of shoulder replacement among surgeons and hospitals is significantly different than that of hip or knee replacement. J Shoulder Elbow Surg. 2003;12:164–169. doi: 10.1067/mse.2003.23. [DOI] [PubMed] [Google Scholar]
- 16.Jain N., Pietrobon R., Hocker S., Guller U., Shankar A., Higgins L.D. Surgeon and Hospital volume and outcomes for shoulder arthroplasty. J Bone Joint Surg Am. 2004;86-A:496–505. doi: 10.2106/00004623-200403000-00006. [DOI] [PubMed] [Google Scholar]
- 17.Jain N., Pietrobon R., Hocker S., Guller U., Shankar A., Higgins L.D. The relationship between surgeon and hospital volume and outcomes for shoulder arthroplasty. J Bone Joint Surg Am. 2004;86:496–505. doi: 10.2106/00004623-200403000-00006. [DOI] [PubMed] [Google Scholar]
- 18.Jain N.B., Hocker S., Pietrobon R., Guller U., Bathia N., Higgins L.D. Total arthroplasty versus hemiarthroplasty for glenohumeral osteoarthritis: role of provider volume. J Shoulder Elbow Surg. 2005;14:361–367. doi: 10.1016/j.jse.2004.10.007. [DOI] [PubMed] [Google Scholar]
- 19.Jain N.B., Kuye I., Higgins L.D., Warner J.J.P. Surgeon volume is associated with cost and variation in surgical treatment of proximal humeral fractures shoulder. Clin Orthop Relat Res. 2013;471:655–664. doi: 10.1007/s11999-012-2481-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Kim T.D., Chang Y.H., Chen Y.W., Chang D.C., Kirsch J.M., Niu R., et al. Higher volume surgeons have lower one-year post-operative cost after total shoulder arthroplasty. Semin Arthroplasty. 2023;33:682–687. doi: 10.1053/j.sart.2023.06.021. [DOI] [Google Scholar]
- 21.Liu K.C., Mayfield C.K., Richardson M.K., Bolia I.K., Kotlier J.L., Heckmann N.D., et al. The relationship between surgeon volume and major surgical complications after total shoulder arthroplasty: an evaluation of 3177 US orthopedic surgeons. Orthopedics. 2025;48:e15–e21. doi: 10.3928/01477447-20241028-03. [DOI] [PubMed] [Google Scholar]
- 22.Lyman S., Jones E.C., Bach P.B., Peterson M.G.E., Marx R.G. The association between hospital volume and total shoulder arthroplasty outcomes. Clin Orthop Relat Res. 2005;432:132–137. doi: 10.1097/01.blo.0000150571.51381.9a. [DOI] [PubMed] [Google Scholar]
- 23.Ramkumar P.N., Navarro S.M., Haeberle H.S., Ricchetti E.T., Iannotti J.P. Evidence-based thresholds for the volume-value relationship in shoulder arthroplasty: outcomes and economies of scale. J Shoulder Elbow Surg. 2017;26:1399–1406. doi: 10.1016/j.jse.2017.05.019. [DOI] [PubMed] [Google Scholar]
- 24.Sabesan V.J., Whaley J.D., LaVelle M., Petersen-Fitts G., Lombardo D., Yong D., et al. Relationship between hospital size and teaching status on outcomes for reverse shoulder arthroplasty. Musculoskelet Surg. 2020;104:37–42. doi: 10.1007/s12306-018-0584-2. [DOI] [PubMed] [Google Scholar]
- 25.Scott D.J., Sherman S., Dhawan A., Cole B.J., Bach B.R., Mather R.C. Quantifying the economic impact of provider volume through adverse events: the case of sports medicine. Orthop J Sports Med. 2015;3:1–7. doi: 10.1177/2325967115574476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Singh A., Yian E.H., Dillon M.T., Takayanagi M., Burke M.F., Navarro R.A. The effect of surgeon and hospital volume on shoulder arthroplasty perioperative quality metrics. J Shoulder Elbow Surg. 2014;23:1187–1194. doi: 10.1016/j.jse.2013.11.017. [DOI] [PubMed] [Google Scholar]
- 27.Singh J.A., Ramachandran R. Does hospital volume predict outcomes and complications after total shoulder arthroplasty in the US? Arthritis Care Res (Hoboken) 2015;67:885–890. doi: 10.1002/acr.22507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Sterne J.A., Hernán M.A., Reeves B.C., Savović J., Berkman N.D., Viswanathan M., et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ. 2016;12 doi: 10.1136/bmj.i4919. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Valsamis E.M., Collins G.S., Pinedo-Villanueva R., Whitehouse M.R., Rangan A., Sayers A., et al. Association between surgeon volume and patient outcomes after elective shoulder replacement surgery using data from the National Joint Registry and Hospital Episode Statistics for England: population based cohort study. BMJ. 2023;381 doi: 10.1136/bmj-2023-075355. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Wagner E.R., Farley K.X., Higgins I., Wilson J.M., Daly C.A., Gottschalk M.B. The incidence of shoulder arthroplasty: rise and future projections compared with hip and knee arthroplasty. J Shoulder Elbow Surg. 2020;29:2601–2609. doi: 10.1016/j.jse.2020.03.049. [DOI] [PubMed] [Google Scholar]
- 31.Walch G., Bacle G., Lädermann A., Nové-Josserand L., Smithers C.J. Do the indications, results, and complications of reverse shoulder arthroplasty change with surgeon’s experience? J. Shoulder Elbow Surg. 2012;21:1470–1477. doi: 10.1016/j.jse.2011.11.010. [DOI] [PubMed] [Google Scholar]
- 32.Weinheimer K.T., Smuin D.M., Dhawan A. Patient outcomes as a function of shoulder surgeon volume: a systematic review. Arthroscopy. 2017;33:1273–1281. doi: 10.1016/j.arthro.2017.03.005. [DOI] [PubMed] [Google Scholar]
- 33.Wilson J.M., Holzgrefe R.E., Staley C.A., Karas S., Gottschalk M.B., Wagner E.R. The effect of operative time on early postoperative complications in total shoulder arthroplasty: an analysis of the ACS-NSQIP database. Shoulder Elbow. 2021;13:79–88. doi: 10.1177/1758573219876573. [DOI] [PMC free article] [PubMed] [Google Scholar]






