Accuracy of the Speed's and Yergason's tests in detecting biceps pathology and SLAP lesions: comparison with arthroscopic findings
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to explore and describe reasons for variation in diagnostic accuracy of clinical tests using Yergason's and Speed's tests in predicting biceps tendon pathology and SLAP lesions. Shoulder arthroscopy was used as the gold standard. TYPE OF STUDY: Prospective blinded study of consecutive patients with a wide spectrum of shoulder conditions. METHODS: One hundred fifty-two subjects (65 women and 87 men) with complaints of shoulder pain were examined. Fifty subjects (16 women and 34 men) ranging in age from 24 to 79 years (mean age, 50 years; SD = 14.36) met the criteria for surgery. The validity of the Yergason's and Speed's tests was evaluated against findings at surgery. RESULTS: The surgical findings related to biceps pathology and SLAP lesions were as follows: 2 bicipital tendonitis, both associated with significant rotator cuff pathology; 10 biceps partial tears; and 2 complete ruptures. Fifteen patients had SLAP lesion type I, 12 type II, and 1 type IV. The sensitivity, specificity, and positive and negative predictive values were 43%, 79%, 60%, and 65% for Yergason's test and 32%, 75%, 50%, and 58% for Speed's test, respectively. The likelihood ratios were 1.28 and 0.91 for Speed's test and 2.05 and 0.72 for Yergason's test. These ratios were provided to assist clinicians in calculating the probability of biceps pathology and SLAP lesions for a single patient with a different history-specific prevalence of having the pathology. CONCLUSIONS: Although Speed's and Yergason's tests are moderately specific, they do not generate a large change in the post-test probability and are unlikely to make a significant change in the pretest diagnosis. Clinicians should understand that clinical examination tests do not perform consistently and have variable predictive values in different patient populations and settings. LEVEL OF EVIDENCE: Level I diagnostic study: testing of previously developed criteria in a series of consecutive patients (using surgery as gold standard).
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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 | 0.005 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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, 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".