Outcomes following hip fracture surgery in adults with schizophrenia in Ontario, Canada: A 10-year population-based retrospective cohort study
Bibliographic record
Abstract
OBJECTIVE: To understand immediate and long-term outcomes following hip fracture surgery in adults with schizophrenia. METHODS: Retrospective population-based cohort study leveraging health administrative databases from Ontario, Canada. Individuals aged 40-105 years with hip fracture surgery between April 1, 2009 and March 31, 2019 were included. Schizophrenia was ascertained using a validated algorithm. Outcomes were: 30-day mortality; 30-day readmission; 1-year survival; and subsequent hip fracture within 2 years. Analyses incorporated Generalized Estimating Equation models, Kaplan-Meier curves, and Fine-Gray competing risk models. RESULTS: RH, 1.29; 95% CI, 1.09-1.53), with male patients with schizophrenia sustaining a refracture 50 days earlier. In age- and sex-adjusted GEE models, schizophrenia was associated with 30-day mortality (OR, 1.31; 95% CI, 1.12-1.54) and readmissions (OR, 1.40; 95% CI, 1.25-1.56). Kaplan-Meier survival curves suggested that patients with schizophrenia were less likely to be alive at 1-year. CONCLUSIONS: Study highlights the susceptibility of hip fracture patients with schizophrenia to worse outcomes, including refracture, with implications for understanding modifiable processes of care to optimize their recovery.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".