Approach to chronic wrist pain in adults
Bibliographic record
Abstract
OBJECTIVE: To develop an approach for identifying, investigating, and initially managing common causes of chronic wrist pain seen by primary care practitioners. SOURCES OF INFORMATION: Relevant clinical evidence and literature were identified using the PubMed database. MAIN MESSAGE: Chronic wrist pain is a common presentation in the primary care setting. The complex anatomy of the wrist leads to a broad differential diagnosis. Elements of history, findings of physical examinations and investigations, and management relevant to the following pathologies are discussed, including scaphoid fracture nonunion, thumb carpometacarpal joint osteoarthritis, scapholunate ligament instability, triangular fibrocartilage complex injuries, de Quervain tenosynovitis, extensor carpi ulnaris tendinopathy, carpal tunnel syndrome, and ganglion cysts. When evaluating chronic wrist pain, diagnostic imaging with x-ray scans can serve as an important ancillary investigation tool but should not override clinical suspicion. Advanced imaging (computed tomography or magnetic resonance imaging) is generally best ordered by a hand surgeon when it will help clarify a diagnosis and guide treatment. CONCLUSION: Chronic wrist pain is a functionally limiting problem best managed with timely diagnosis and treatment. A thorough history and physical examination are the cornerstones of an effective evaluation. When diagnosis is delayed, some wrist pathologies can lead to relatively poor outcomes, such as a scaphoid fracture nonunion resulting in diffuse wrist osteoarthritis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".