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Record W2964691027 · doi:10.5435/jaaos-d-19-00166

Comparison of Clinical Outcomes After Anatomic Total Shoulder Arthroplasty and Reverse Shoulder Arthroplasty in Patients 70 Years and Older With Glenohumeral Osteoarthritis and an Intact Rotator Cuff

2019· article· en· W2964691027 on OpenAlexaboutno aff
Melissa A. Wright, Jay D. Keener, Aaron M. Chamberlain

Bibliographic record

VenueJournal of the American Academy of Orthopaedic Surgeons · 2019
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRotator cuffArthroplastyVisual analogue scaleOsteoarthritisOrthopedic surgeryElbowSurgeryRange of motionPatient satisfactionRetrospective cohort studyComplicationCohortArthropathyInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: As the indications for reverse shoulder arthroplasty (RSA) expand beyond traditional cuff tear arthropathy, the role of RSA in elderly patients with glenohumeral arthritis and an intact rotator cuff remains unclear. METHODS: This retrospective cohort study included 135 patients who underwent RSA or total shoulder arthroplasty (TSA) at a single tertiary orthopedic center between 2005 and 2015 and were 70 years of age or older at the time of surgery. All patients had preoperative advanced imaging confirming an intact rotator cuff but active forward elevation less than 90°. Complications, reoperations, and patient survival were recorded from the medical record. Patient-reported outcomes (Pain visual analog scale, Satisfaction Score, American Shoulder and Elbow Surgeons [ASES], and Western Ontario Osteoarthritis of the Shoulder [WOOS]) and patient-reported range of motion were collected at a minimum of 2 years after procedure. RESULTS: There was no significant difference in complication rate or revision surgery rate between patients undergoing TSA and RSA (complications 13.7% versus 12.1%, P = 0.810; reoperations 6.9% vs 3.0%, P = 0.418). There were no differences in patient-reported outcome measures between the two groups. Mean pain visual analog scale scores were low in both groups (0.72, SD 1.93 for TSA and 0.31, SD 0.72 for RSA). Satisfaction scores were high (86.1, SD 23.3 for TSA and 91.8, SD 9.0 for RSA, P = 0.286). Mean ASES and WOOS scores were also high in both groups (86 [SD 15.6] for TSA and 83 [SD 12.6] for RSA for ASES [P = 0.400] and 86 [SD 18.3] for TSA and 89 [SD 10.2] for RSA for WOOS [P = 0.400]). One hundred percent of subjects following RSA and 98% of subjects following TSA rated their forward elevation as full or nearly full (>135°) (P = 0.516). DISCUSSION: Given the good clinical outcomes after both TSA and RSA, there may be an increased role for RSA in this elderly cohort to provide effective treatment of glenohumeral osteoarthritis. LEVEL OF EVIDENCE: Level III, retrospective comparative study.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.350
Teacher spread0.330 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations169
Published2019
Admission routes1
Has abstractyes

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