Defining Minimally Important Differences in Functional Outcomes in Musculoskeletal Oncology
Bibliographic record
Abstract
BACKGROUND: Functional outcomes are commonly reported in studies of patients undergoing limb-salvage surgery for the treatment of musculoskeletal tumors; however, interpretation requires knowledge of the smallest amount of improvement that is important to patients: the minimally important difference (MID). We established the MIDs for the Musculoskeletal Tumor Society Rating Scale-93 (MSTS-93) and Toronto Extremity Salvage Score (TESS) for patients with bone tumors undergoing lower-extremity endoprosthetic reconstruction. METHODS: This study was a secondary analysis of the recently completed PARITY (Prophylactic Antibiotic Regimens in Tumor Surgery) study. We used MSTS-93 and TESS data from this trial to calculate (1) the anchor-based MIDs with use of an overall function scale and a receiver operating characteristic curve analysis and (2) the distribution-based MIDs based on one-half of the standard deviation of the change scores from baseline to the 12-month follow-up and one-half the standard deviation of baseline scores. RESULTS: Five hundred and ninety-one patients were available for analysis. The Pearson correlation coefficients for the association between changes in MSTS-93 and TESS scores and changes in the external anchor scores were 0.71 and 0.57, indicating high and moderate correlations. The anchor-based MID was 12 points for the MSTS-93 and 11 points for the TESS. Distribution-based MIDs were larger: 16 to 17 points for the MSTS-93 and 14 points for the TESS. CONCLUSIONS: Two methods for determining MIDs for the MSTS-93 and TESS for patients undergoing lower-extremity endoprosthetic reconstruction for musculoskeletal tumors yielded quantitatively different results. We suggest the use of anchor-based MIDs, which are grounded in changes in functional status that are meaningful to patients. These thresholds can facilitate responder analyses and indicate whether significant differences following interventions are clinically important to patients. LEVEL OF EVIDENCE: Prognostic Level III . See Instructions for Authors for a complete description of levels of evidence.
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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 | 0.024 | 0.062 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".