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Record W4408977834 · doi:10.1016/j.jse.2025.02.039

Revision of reverse total shoulder arthroplasty: a scoping review of indications for revision, and revision outcomes, complications, and rerevisions

2025· review· en· W4408977834 on OpenAlexaff
Linda Y. Wu, Mohammed Al-Asadi, Hassaan Abdel Khalik, Danielle Dagher, George S. Athwal, Moin Khan

Bibliographic record

VenueJournal of Shoulder and Elbow Surgery · 2025
Typereview
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsWestern UniversityImpactMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineArthroplastySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: The incidence of reverse total shoulder arthroplasty (rTSA) has been rising steadily over the last decade given broadening indications and increased familiarity with the procedure. With this increasing prevalence, the rate of revision of an rTSA has increased as well. Presently, there is a lack of clarity regarding outcomes after revision of an rTSA. The present review aimed to systematically examine studies assessing outcomes of revision rTSA following a failed primary rTSA or revision rTSA. Outcomes of interest include indications for revision, changes in patient-reported outcome measures, postoperative complications, and rerevisions associated with revision rTSA. METHODS: A comprehensive search of MEDLINE, Embase, and Cochrane CENTRAL was conducted for relevant studies. Studies were included if they assessed outcomes in patients undergoing revision rTSA following a primary rTSA or a failed revision rTSA with a minimum follow-up of 12 months and reporting relevant clinical outcome measures. Descriptive statistics were calculated for reported outcomes. Quality assessment was performed using the methodological index for nonrandomized studies instrument. RESULTS: Sixteen studies were included in the final analysis, comprising 346 patients with 355 revised shoulders. The pooled cohort had a mean age of 69 years (range: 63-73 years) and a mean follow-up of 39 months (range: 12-67 months). The primary reasons for revision were dislocation or instability (30%), baseplate complications (25%), and infection (23%). The overall complication rate postrevision was 32%, with a rerevision rate of 27%. The most commonly reported postoperative complications included dislocation or instability (22%), fractures (18%), hematoma (15%), and baseplate issues including loosening, failure, and dissociation (12%). Major complications requiring rerevision surgery were led by dislocation or instability (28%), followed by baseplate complications (20%), infection (15%), and fracture (13%). Reported outcomes of revision rTSA are favorable with improvements in patient-reported outcome measures that exceed the minimal clinically important difference present in 83% of studies for American Shoulder and Elbow Surgeons, 40% for Simple Shoulder Test, and 100% for both visual analog scale pain and Single Assessment Numeric Evaluation scores. CONCLUSION: The most common indications for revision rTSA following failed primary or revision rTSA were dislocation or instability, baseplate issues, and infection. One-third of patients after revision of a failed rTSA sustained a complication, most commonly being dislocation and periprosthetic fractures. While rTSA revision for failed rTSA yields favorable functional outcome scores, there remains a significant risk of complication which may require further revisions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.020
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.041
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.007
Bibliometrics0.0200.017
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.074
GPT teacher head0.418
Teacher spread0.343 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2025
Admission routes1
Has abstractyes

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