Evidence map›Paper›PMID 41223404›Full record

ArticleJournal of the American Academy of Orthopaedic Surgeons. Global research & reviews2025

Prevalence of Appropriate Anatomic Total Shoulder Arthroplasty in a Large Multicenter US Cohort Using a RAND/UCLA Algorithm.

Krishna Mandalia, Stephen Le Breton, Christopher Roche, Katharine Ives, Sarav Shah

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Krishna MandaliaFrom the New England Baptist Hospital, Boston, MA (Mandalia, Le Breton, Dr. Shah); the Tufts University School of Medicine, Boston, MA (Mandalia, Le Breton); the New England Shoulder and Elbow Center, Boston, MA (Mandalia, Le Breton, Ives, Dr. Shah); and the Exactech Inc, Gainesville, FL (Roche).ORCID 0000-0001-8041-880
Stephen Le Breton
Christopher Roche
Katharine Ives

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiven the high variability in patient presentation, notable challenges exist in determining patient candidacy for anatomic total shoulder arthroplasty (aTSA). The purpose of this study was to use a modified version of prior scenario-based appropriateness use criteria to evaluate the prevalence of inappropriate, appropriate, and inconclusive aTSA.

methodsPatients undergoing primary aTSA were evaluated for preoperative outcome scores and baseline demographic information from a multicenter database. Using a validated appropriateness use criteria algorithm, these patients were grouped "inappropriate," "inconclusive," or "appropriate."

resultsSeven hundred seventy-four patients who underwent aTSA were included. "Appropriate" patients comprised 23.9% of the cohort, while 17.8% were "inappropriate," and 58.3% were "inconclusive." Compared with the inconclusive and inappropriate groups, the "appropriate" patients were found to have markedly worse preoperative pain and functional outcomes scores. No notable difference was observed between the number of patients who received intra-articular injections, number of injections received, and analgesic use across the groups.

conclusionsThe large proportion of "inconclusive" patients suggests a lack of consensus regarding aTSA versus reverse TSA candidacy and may be secondary to factors such as worse glenoid morphology and/or prior rotator cuff repair, which are subjects of current debate in determining appropriateness for reverse TSA versus aTSA. Although no definitive conclusions can be made regarding if this algorithm ultimately improves patient outcomes, this study seeks to only help streamline patient evaluation based on American Shoulder and Elbow Surgeons high-volume surgeons' opinion and highlight the large variation in the indications for aTSA in real-world surgical cases.

Indexed as

AlgorithmsArthroplasty, Replacement, ShoulderPatient SelectionShoulder JointAgedCohort StudiesFemaleHumansMaleMiddle AgedPrevalenceUnited States

Identifiers

PMID41223404
PMCPMC12614676

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.