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Record W3011599327 · doi:10.1097/jom.0000000000001841

Association of Disability Benefits and/or Litigation With Time to Return to Work After Tibia Shaft Fracture Fixation

2020· article· en· W3011599327 on OpenAlexafffund
Yasir Rehman, Aaron Jones, Kim Madden, Diane Heels‐Ansdell, Jason W. Busse

Bibliographic record

VenueJournal of Occupational and Environmental Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsMcMaster University
FundersCanadian Institutes of Health Research
KeywordsMedicinePhysical therapyPolytraumaHazard ratioTibiaConfidence intervalSurgeryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: We explored the association of compensation status with return to work (RTW) after tibial fracture. METHODS: Eligible patients were adults with tibial shaft fractures enrolled in the Trial to Re-evaluate Ultrasound in the Treatment of Tibial Fractures. We explored the association between disability benefits and/or litigation and RTW using multivariable discrete interval hazard analysis, adjusting for sex, age, country of residence, smoking status, body mass index, polytrauma, fracture severity, fracture gap, pain severity, and physical functioning. RESULTS: Of 330 eligible patients, 111 (34%) had not returned to full-time work 1-year after surgery. In our adjusted model, receipt of disability benefits and/or involvement in litigation was associated with delayed RTW (HR = 0.71, 95% CI 0.52-0.96). DISCUSSION: Tibial shaft fracture patients receiving disability benefits and/or involved in litigation are less likely to RTW.

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 score0.031
Threshold uncertainty score0.775

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.012
GPT teacher head0.248
Teacher spread0.236 · 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
Published2020
Admission routes2
Has abstractyes

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