L'intérêt du diapason dans le diagnostic de fracture de la cheville, du poignet et du coude
Bibliographic record
Abstract
Introduction: Trauma is a frequent reason for consultation to which many x-rays are performed. Often, these are normal, causing a significant cost and unnecessary irradiation of patients. So there is an interest in finding a clinical diagnostic tool, that would better target patients with fractures. It therefore seemed interesting to make a study of the diagnostic accuracy of the tuning fork test in the search of fractured ankles, wrists and elbows. Material and methods: It was a prospective study of a diagnostic method evaluation, multicenter with an inclusion on a 4 month period. Patients included were adults from18 to 75 years old, with traumas of the ankle, wrist or elbow, with no history of disease of bone formation or old fractures of the traumatic area, consulting at the adult emergency service in the department of Bordeaux Pellegrin, and at the adult emergency service of the Libourne Hospital. Each patient has included the tuning fork test, whose results are reported on a questionnaire given to entry, and an X-ray, face and profile, of the painful joint. All radio-graphs were interpreted by a senior radiologist. Résults: 95 patients were included in the Pellegrin CHU, and 31 in the Libourne CH, without significant differences in the population characteristics. For the tuning fork test, the sensitivity obtained is between 29.17 and 54.17%, and a specificity of between 51.92 and 90.38%. The VPP is between 22,20 and 42,18%, the NPV is between 83.08 and 84.9%. We carry several studies into subgroups. The only interesting result for the tuning fork test turns out to be about the ankle joint, with a VPN between 90.16 and 92.16%. Conclusion: The test in tune is not a reliable tool that we can afford to use these days, even if this test is inexpensive and noninvasive. The NPV for the test pitch at the ankle joint, is between 90 and 92%. This data could be used to make a composite clinical score with the score of Ottawa and the tuning fork test.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".