Mortality and Function after Hip Fractures in Different Ethnic Populations in Israel.
Bibliographic record
Abstract
BACKGROUND: Mortality and decrease in function after hip fracture are significantly related to patient factors including age, gender, co-morbidities, and mental status. Several studies demonstrated ethnic disparities in incidence, mortality, and functional outcome after hip fractures in the United States. OBJECTIVES: To assess the relationship between ethnicity and hip fracture incidence and outcomes of mortality, functional change, and perioperative complications in the Israeli population. METHODS: We reviewed our institutional hip fracture registry for all patients from 2014-2015. Patients with incomplete data, < 60 years of age, or pathologic and periprosthetic fractures were excluded. Our study comprised 693 patients. Ethnicity was based on country of birth. Specifically, for those born in Israel, the nationality of either Jewish or Arab was further dichotomized. Perioperative complications, mortality, and mobility status at 1 year follow-up were recorded. The ethnicities of 27,130 patients admitted to the medicine and surgical wards during the same time interval served as a control group for the hip fracture cohort. RESULTS: Immigrants from Europe and America had the highest incidence of hip fractures. Fracture types varied in incidence in groups with 70% of extracapsular hip fractures occurring in Arabs and immigrants from Eastern countries, compared to 60% in immigrants from Western countries and the former Soviet Union. Mortality, perioperative complications, and mobility at 1 year were similar in all ethnic groups. CONCLUSIONS: Our study demonstrated significant differences in incidence and fracture characteristic among ethnicities, but no difference in patient outcome. These findings differed from the available North American studies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".