Patients Undergoing Shoulder Stabilization Procedures Do Not Accurately Recall Their Preoperative Symptoms at Short- to Midterm Follow-up
Bibliographic record
Abstract
BACKGROUND: A patient's ability to recall symptoms is poor in some elderly populations, but we considered that the recall of younger patients may be more accurate. The accuracy of recall in younger patients after surgery has not been reported to date. PURPOSE: To assess younger patients' abilities to recall their preoperative symptoms after having undergone shoulder stabilization surgery. We used 2 disease-specific, patient-reported outcome measures (PROMs)-the Western Ontario Shoulder Instability Index (WOSI) and the Melbourne Instability Shoulder Score (MISS)-at a period of up to 2 years postoperatively. STUDY DESIGN: Cohort study (diagnosis); Level of evidence, 2. METHODS: tests. Correlations between the actual and recalled scores of the subsections for each PROM were calculated using an intraclass correlation coefficient (ICC). The number of individuals who recalled within the minimal detectable change (MDC) of each PROM was calculated. RESULTS: Comparison between the means of the actual and recalled preoperative scores for both groups did not demonstrate significant differences (early recall differences, MISS 1.05 and WOSI -38.64; late recall differences, MISS -0.25 and WOSI -24.02). Evaluation of the absolute difference, however, revealed a significant difference between actual and recalled scores for both the late and early groups (early recall absolute differences, MISS 12.26 and WOSI 216.71; late recall absolute differences, MISS 12.84 and WOSI 290.08). Average absolute differences were above the MDC scores of both PROMs at both time points. Subsections of each PROM demonstrated weak to moderate correlations between actual and recalled scores (ICC range, 0.17-0.61). Total scores for the PROMs reached moderate agreement between actual and recalled scores. CONCLUSION: Individual recall after shoulder instability surgery was not accurate. However, the mean recalled PROM scores of each group were not significantly different from the actual scores collected preoperatively, and recall did not deteriorate significantly over 2 years. This suggests that recall of the individual, even in this younger group, cannot be considered accurate for research purposes.
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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 | 0.002 | 0.014 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".