Review: hand symptom diagrams, weak thumb abduction, and hypalgesia are helpful in diagnosing carpal tunnel syndrome
Bibliographic record
Abstract
(2000) JAMA 283, 3110. D'Arcy CA, McGee S. . Does this patient have carpal tunnel syndrome? . Jun 21; . : . –7 . [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: What is the accuracy of the history and physical examination in diagnosing carpal tunnel syndrome (CTS)? Studies were identified by searching Medline (1966 to February 2000) with the terms carpal tunnel syndrome, diagnosis, Tinel, Hoffman, and Phalen. References of relevant articles were reviewed. The search was limited to English language studies. Studies were selected if they addressed the diagnosis of CTS in adults; patients presented with symptoms suggestive of CTS; a clear description of the physical examination was provided; the results of the physical examination and electrodiagnostic studies were apparently assessed independently; and numbers needed to calculate sensitivity, specificity, and likelihood ratios (LRs) were available. 2 independent reviewers extracted data on history, physical findings, and CTS … [1]: {openurl}?query=rft.jtitle%253DJAMA%26rft.stitle%253DJAMA%26rft.issn%253D0002-9955%26rft.aulast%253DD%2527Arcy%26rft.auinit1%253DC.%2BA.%26rft.volume%253D283%26rft.issue%253D23%26rft.spage%253D3110%26rft.epage%253D3117%26rft.atitle%253DDoes%2BThis%2BPatient%2BHave%2BCarpal%2BTunnel%2BSyndrome%253F%26rft_id%253Dinfo%253Adoi%252F10.1001%252Fjama.283.23.3110%26rft_id%253Dinfo%253Apmid%252F10865306%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1001/jama.283.23.3110&link_type=DOI [3]: /lookup/external-ref?access_num=10865306&link_type=MED&atom=%2Febmed%2F6%2F3%2F94.atom [4]: /lookup/external-ref?access_num=000087574900036&link_type=ISI
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.
How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Observational | low |
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".