Oral anticoagulants and the risk of osteoporotic fractures among elderly
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Coumadin-based oral anticoagulants are associated with a decrease in bone mass density, but their role in fracture risk is equivocal. Because the use of oral anticoagulants is prevalent among the elderly, as is the risk and morbidity of osteoporotic fractures, the association between osteoporotic fractures and oral anticoagulants needs to be clarified. METHOD: We conducted a case-control study on a 10% random sample of subjects aged 70 years and older enrolled in the Quebec universal health insurance plan between 1992 and 1994. Incident cases of a first osteoporotic fracture were identified by International Classification of Diseases, Ninth Revision codes. Exposure was defined as one or more prescriptions of oral anticoagulants dispensed before the osteoporotic fracture. Ten controls for each case, matched by age and date of osteoporotic fracture, were identified. RESULTS: Among 1523 cases, 48 (3.2%) were ever exposed to oral anticoagulants; among 15,205 controls, 461 (3.0%) were ever exposed (crude odds ratio: 1.0: 95% confidence interval: 0.7-1.5). These negative results persisted after adjusting for potential confounding variables and stratifying exposure into cumulative dose and treatment duration. CONCLUSIONS: Coumadin-based oral anticoagulants are not significantly associated with osteoporotic fractures among the elderly, providing reassurance for elderly patients on long-term oral anticoagulants.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it