Patients Can Provide a Valid Assessment of Quality of Life, Functional Status, and General Health on the Day They Undergo Knee Surgery
Bibliographic record
Abstract
BACKGROUND: In the interest of efficiency, investigators often offer participants in surgical trials the option of completing baseline assessments on the day of surgery. The emotional affects of this day may, however, increase bias or random error. We studied the validity and reliability of collecting subjective ratings of health on the day of surgery. METHODS: One hundred and seventy-seven patients undergoing anterior cruciate ligament reconstruction and/or knee arthroscopy completed quality-of-life, functional status, and general health instruments at four weeks preoperatively, on the day of surgery, and one year postoperatively. We evaluated results with use of three conceptual frameworks: (1) that ratings provided four weeks preoperatively provide a gold standard for preoperative ratings, (2) that there is no gold standard for preoperative ratings and that, if valid, ratings on the day of surgery should be highly correlated with ratings at four weeks preoperatively and moderately and similarly correlated with ratings at one year postoperatively, and (3) that ratings provided four weeks preoperatively and on the day of surgery are measuring identical constructs and should therefore show high reliability. RESULTS: Most patients (97%) had a chronic injury as the interval between the injury and surgery was more than ninety days. Data collected on the day of surgery demonstrated high predictive validity with data collected within one month before surgery. There was no significant heterogeneity between variances for data collected four weeks preoperatively and on the day of surgery. The correlation between data collected on the day of surgery and four weeks preoperatively was moderate to high (range, 0.64 to 0.93), and the correlation between preoperative ratings and the one-year postoperative ratings was moderate (range, 0.40 to 0.59) across all instruments. Agreement between the ratings provided four weeks preoperatively and on the day of surgery was excellent (intraclass correlation coefficient, 0.64 to 0.91), and the standard error of measurement was small across instruments. CONCLUSIONS: In the treatment of chronic knee injuries, patients can accurately rate their quality of life, general health, and functional status on the day on which they undergo surgery.
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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 | 0.010 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".