Osteoporosis Follow-up After Wrist Fractures Following Minor Trauma
Bibliographic record
Abstract
BACKGROUND: Patients presenting with low-trauma wrist fractures are an ideal target population for early case finding of osteoporosis. We decided to investigate whether this early detection occurred in practice. METHODS: This study was conducted at a single center in Edmonton, Alberta. A structured interview format was used to contact 112 (72%) of 156 patients older than 40 years who were diagnosed as having an atraumatic fracture of the distal radius/ulna from April 1997 to March 1998 and from January 1999 to February 1999. Information on osteoporosis follow-up and drug therapy was obtained from the patient. RESULTS: The time between fracture and telephone interview ranged from 6 months to 3 years, with the majority of the sample being interviewed at least 1 year after fracture. Of the 112 patients in this study, 44 had sustained previous fractures, 17 of which had occurred at the wrist, vertebrae, or hip. Sixteen patients in the sample had already sustained a subsequent clinical fracture before our telephone contact. Thirty-two patients had received treatment for osteoporosis before fracture. A further 24 patients (21%) had undergone osteoporosis follow-up after fracture. After fracture, 42 (38%) of all patients were receiving either hormone replacement therapy or using a bisphosphonate. CONCLUSIONS: Only 50% of the study population had received osteoporosis follow-up after fracture. Few patients had any change in their medication use after fracture. The findings in this study population suggest that recognition of the potential for osteoporosis in such patients is inadequate. Given the magnitude of this public health care problem, it is clear that attention to case finding and treatment of osteoporosis should be increased.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".