The Inter‐rater Reliability of Shoulder Arthroscopy
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to determine the inter-rater reliability of orthopaedic shoulder surgeons in evaluating the intra-articular structures involved in real-time diagnostic shoulder arthroscopy by use of a videotape model. METHODS: Twenty patients (nineteen male patients and one female patient) diagnosed with recurrent anterior shoulder instability with a mean age of 27.9 years (range, 15 to 44 years) consented to participate in the study. Standardized diagnostic shoulder arthroscopies (modified Snyder protocol) were done by a single experienced surgeon, and the procedures were videotaped. The patients' clinical information, radiographs, and videotape of the arthroscopy were sent to 6 experienced shoulder surgeons. The surgeons reviewed the clinical information, assessed the intra-articular structures shown on the videotape, and recorded their diagnoses on a standardized data collection form. The primary outcome was the median overall percent agreement for the video review surgeons by structure evaluated. RESULTS: The median values for overall agreement for the video review surgeons were as follows: anterior labrum, 90%; inferior labrum, 75%; superior labrum, 60%; posterior labrum, 65%; superior glenohumeral ligament, 50%; middle glenohumeral ligament, 50%; anterior inferior glenohumeral ligament, 25%; glenoid surface, 35%; detection of Hill-Sachs lesion, 85%; biceps tendon, 70%; supraspinatus tendon, 85%; infraspinatus tendon, 70%; and subscapularis tendon, 80%. CONCLUSIONS: The inter-rater reliability for orthopaedic shoulder surgeons' arthroscopic assessment of intra-articular anatomy in patients with anterior shoulder instability varied by structure examined. It was very good (>80%) for the anterior labrum and supraspinatus tendon and in detecting a Hill-Sachs lesion, poor (<40%) for the glenoid and anterior inferior glenohumeral ligament, and intermediate for all other structures examined. LEVEL OF EVIDENCE: Level V, diagnostic study, expert opinion.
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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 | 0.041 | 0.126 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".