Physiotherapy or a wait and see policy were the best options for lateral epicondylitis at 1 year
Bibliographic record
Abstract
(2002) Lancet 359, 657; Smidt N, van der Windt DA, Assendelft WJ, et al. . Corticosteroid injections, physiotherapy, or a wait-and-see policy for lateral epicondylitis: a randomised controlled trial. . Feb 23; . : . –62 . [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: In patients with lateral epicondylitis, what is the effectiveness of a wait and see policy, physiotherapy, or corticosteroid injections? Randomised (allocation concealed*), blinded (outcome assessors),* controlled trial with 1 year of follow up. Practices of 85 family doctors in the Netherlands. 185 patients who were 18 to 70 years of age (median age 47 y) with pain at the lateral side of the elbow that increased with pressure on the lateral epicondyle and with resisted dorsiflexion of the wrist. Exclusion criteria included physiotherapy or corticosteroid injections for elbow pain in the previous 6 months; bilateral elbow symptoms; duration of pain for <6 weeks; dislocation, tendon ruptures, or fractures … [1]: {openurl}?query=rft.jtitle%253DLancet%26rft.stitle%253DLancet%26rft.aulast%253DSmidt%26rft.auinit1%253DN.%26rft.volume%253D359%26rft.issue%253D9307%26rft.spage%253D657%26rft.epage%253D662%26rft.atitle%253DCorticosteroid%2Binjections%252C%2Bphysiotherapy%252C%2Bor%2Ba%2Bwait-and-see%2Bpolicy%2Bfor%2Blateral%2Bepicondylitis%253A%2Ba%2Brandomised%2Bcontrolled%2Btrial.%26rft_id%253Dinfo%253Adoi%252F10.1016%252FS0140-6736%252802%252907811-X%26rft_id%253Dinfo%253Apmid%252F11879861%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=10.1016/S0140-6736(02)07811-X&link_type=DOI [3]: /lookup/external-ref?access_num=11879861&link_type=MED&atom=%2Febmed%2F7%2F5%2F153.atom [4]: /lookup/external-ref?access_num=000174107400009&link_type=ISI
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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: Commentary About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".