Diagnostic accuracy of history taking, physical examination, and auxiliary examination for thumb osteoarthritis: a systematic review
Bibliographic record
Abstract
OBJECTIVE: To conduct a systematic review to evaluate the diagnostic accuracy of history taking, physical examination, and auxiliary examination for thumb osteoarthritis (OA). METHODS: MEDLINE ALL, EMBASE, Cochrane Central Register of Controlled Trials, Web of Science Core Collection, and CINAHL were searched up to October 2023. Studies focused on patients with hand or thumb pain suspected of thumb OA, considering any diagnostic methods as the index test, with any diagnostic assessment of thumb OA as the reference standard were included. Sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy were extracted. QUADAS and GRADE were applied to assess the evidence. RESULTS: Seven studies were included. History taking (two studies, 1096 participants) showed very low certainty of evidence;physical examination (five studies, 427 participants) revealed moderate certainty of evidence; auxiliary examinations (one study, 20 participants) indicated low certainty of evidence. History taking showed sensitivity of 47% to 100%, specificity of 40% to 63%, and accuracy of 40% to 80%. Physical examination demonstrated sensitivity of 2% to 100%, specificity of 75% to 100%, and accuracy of 47% to 98%. Auxiliary examination exhibited sensitivity of 72%, specificity of 86%, and accuracy of 76%. The adduction test, extension test, and metacarpal pressure-shear tests were reported to have accuracy above 90% based on two studies. CONCLUSIONS: Based on few studies, the diagnostic accuracy of history taking and physical examination for thumb OA varied across studies, while knowledge about auxiliary examination was limited. The adduction test, extension test, and metacarpal pressure-shear test are recommended for thumb OA diagnosis.
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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 | 0.004 | 0.073 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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 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".