Determining the Patient Acceptable Symptomatic State for Patients Undergoing Arthroscopic Partial Meniscectomy in the Knee
Bibliographic record
Abstract
Objectives: Arthroscopic partial meniscectomy is one of the most commonly performed procedures in orthopaedic surgery. However, information on the threshold at which patients consider themselves to be well for patient reported outcome measures (PROMs) after this surgery remains limited. Our goal was to determine the patient acceptable symptomatic state (PASS) for the Knee Injury and Osteoarthritic Outcome Score (KOOS), the International Knee Documentation Committee (IKDC) Subjective Knee Form, the Western Ontario Meniscal Evaluation Tool (WOMET) and the Marx Activity Scale (MAS) in patients with knee meniscal pathology who treated with partial knee meniscectomy. Methods: A consecutive series of patients with knee meniscal pathology treated with arthroscopic partial meniscectomy plus or minus intra-articular debridement were eligible. Other inclusion criteria were: a Kellegren-Lawrence Grade of 0-2, and ligamentous integrity. The KOOS (0-100, 5 subscales), IKDC (0-100), WOMET (0-100) and MAS (0-16) were administered at baseline and 12 months postoperatively. An external anchor question at 1 year postoperatively was utilized to determine PASS values: “Taking into account all the activities you have during your daily life, your level of pain, and also your functional impairment, do you consider that your current state is satisfactory?” A receiver operator curve analysis was used to determine the PASS value at which patients considered their status to be satisfactory. Results: There were 115 patients (mean ± SD age, 53.8 ± 12.0 years), and 57.3% were male. Based on a receiver operator curve analysis, the PASS values - at which patients considered their status to be satisfactory - at 1 year after surgery were 43 (KOOS-symptoms subscale), 83 (KOOS-pain subscale), 84 (KOOS-functions of daily living subscale), 75 (KOOS-function, sport and recreational activity subscale), 56 (KOOS-quality of life subscale), 56 (IKDC), 61 (WOMET), 7 (MAS). The PASS threshold was not affected by baseline scores across the different instruments and there was no relationship between baseline score and likelihood of achieving the PASS. Age and sex were not significantly related to the odds of achieving the PASS for any of the PROMs. Conclusion: This is the first study to determine PASS in four commonly used knee-related PROMs in patients undergoing arthroscopic partial meniscectomy. The findings can allow researchers and clinicians to determine if partial meniscectomy is meaningful to patients and will be helpful for responder analysis in future trials related to knee arthroscopy and the treatment of meniscal pathology.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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, 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".