MétaCan
Menu
Back to cohort
Record W2975428796 · doi:10.2106/jbjs.18.01460

Prevalence of Clinical Depression Among Patients After Shoulder Stabilization

2019· article· en· W2975428796 on OpenAlexaboutno aff
Danielle Weekes, Richard E. Campbell, Weilong J. Shi, Nicholas J. Giunta, Kevin B. Freedman, Matthew D. Pepe, Bradford S. Tucker, Fotios P. Tjoumakaris

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDepression (economics)CohortPhysical therapyConfidence intervalCohort studyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Depression is a potential risk factor for poor postoperative outcomes. This study aimed to identify the prevalence of clinical depression symptoms before and after shoulder stabilization, as well as the relationship between depression and functional outcomes. METHODS: Patients undergoing arthroscopic primary glenohumeral stabilization for recurrent instability were eligible for enrollment. Participants completed the Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR) and the Western Ontario Shoulder Instability Index (WOSI) questionnaire preoperatively and at 6 weeks, 3 months, 6 months, and 1 year postoperatively. Patients with a preoperative QIDS-SR score of ≥6 were assigned to the clinical depression group. RESULTS: Seventy-six patients were enrolled and were prospectively followed during this study. Thirty-nine patients were stratified into the clinical depression group. Preoperatively, the clinical depression cohort had worse WOSI scores than the cohort without clinical depression (mean difference, 8.3% [95% confidence interval (CI), 0.5% to 16.1%]; p = 0.04). Both the clinical depression cohort and the cohort without clinical depression displayed an improvement in WOSI scores at 1 year postoperatively (p < 0.01 for both cohorts). Both the clinical depression cohort and the cohort without clinical depression displayed an improvement in QIDS-SR scores at 1 year postoperatively (p < 0.01 for both cohorts). At 1 year postoperatively, the clinical depression cohort continued to have worse WOSI scores than the cohort without clinical depression (mean difference, 12.2% [95% CI, 5.9% to 18.5%]; p < 0.01) and worse QIDS-SR scores; the median QIDS-SR score was 5.0 points (interquartile range [IQR], 2.0 to 8.0 points) for the clinical depression group and 0.0 points (IQR, 0.0 to 3.0 points) for the group without clinical depression (p < 0.01). The postoperative prevalence of clinical depression (24%) was lower than the preoperative prevalence (51%) (p < 0.01). Increasing patient age was associated with preoperative depression symptoms (odds ratio, 3.1; p = 0.03). CONCLUSIONS: Fifty-one percent of patients with shoulder instability reported depression symptoms before the surgical procedure. Surgical intervention improved shoulder function and depression symptoms over time; however, the clinical depression cohort had worse postoperative shoulder and depression outcomes. LEVEL OF EVIDENCE: Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.039
GPT teacher head0.323
Teacher spread0.284 · 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

Citations34
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Bone and Joint SurgerySame topicShoulder Injury and TreatmentFrench-language works237,207