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Record W4405030779 · doi:10.1016/j.jseint.2024.11.018

What happens to patients in the long term when we do not repair their cuff tears? Ten-year rotator cuff quality of life index (RC-QOL) outcomes following nonoperative treatment of patients with full-thickness rotator cuff tears

2024· article· en· W4405030779 on OpenAlexafffund
Richard S. Boorman, Kristie D. More, Sarah L. Koles

Bibliographic record

VenueJSES International · 2024
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsUniversity of Calgary
FundersWorkers' Compensation Board – Alberta
KeywordsRotator cuffTearsMedicineQuality of life (healthcare)CuffSurgeryTerm (time)Nursing

Abstract

fetched live from OpenAlex

Background: The purpose of this study was to examine long-term, greater-than-ten-year outcomes of patients with full-thickness rotator cuff tears treated nonoperatively. Methods: Patients with a chronic, full-thickness rotator cuff tear (demonstrated on imaging) who were referred by their physician for shoulder surgery were enrolled in this prospective study between October 2008 and September 2010. Patients then participated in a comprehensive nonoperative treatment program. After the three-month program, patients were defined as "successful" or "failed." "Successful" patients were essentially asymptomatic and did not require surgery. "Failed" patients were symptomatic and consented to surgical repair. All patients were followed-up at 1 year, two years, and five years using a validated, disease-specific rotator cuff quality of life score (the RC-QOL) and whether or not they eventually underwent surgery during these time intervals. All of the patients who participated at the five-year follow-up were contacted for this study between 10 and 12 years (mean 11.4 years) after treatment. Results: = .27). Two patients had crossed over from the successful group to undergo surgery between 5 and 11 years (one had an acute traumatic injury and the other reported aggravation with activity). Conclusion: Nonoperative treatment is an effective and lasting option for many patients with a chronic, full-thickness rotator cuff tear. While some may argue that nonoperative treatment delays inevitable surgical repair, this long-term study shows that patients can do very well over time.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.012
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

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

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 head0.031
GPT teacher head0.340
Teacher spread0.309 · 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 teacher head, 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

Citations3
Published2024
Admission routes2
Has abstractyes

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