Validation process of Toronto Exremity Salvage Score in Italian: A quality of life measure for patients with extremity bone and soft tissue tumors
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Limb salvage surgery remains the standard treatment in bone and soft tissue tumors. Toronto Extremity Salvage Score (TESS) is the most used quality of life measure. Our objective was to perform cross-cultural adaptation and validation in Italian, testing test-retest reliability, construct validity, and responsiveness. METHODS: We interviewed patients already treated for content validity. A total of 124 patients completed TESS and other questionnaires presurgery, at 3 months, 3 months + 2 weeks, and 6 months follow-up. We calculated intraclass correlation coefficients (ICCs) for reliability, associations with Pearson's r, and change over time with paired T tests. RESULTS: A new item regarding touch-screen devices was added to the upper extremity (UE) questionnaire. ICC resulted of 0.99 for lower extremity (LE) and 0.98 for UE patients, Pearson's r between TESS and Musculoskeletal Tumor Society was .66 and .64, EuroQol-5D-5L r was .62 and .61, and r between TESS and short form-36 physical function subscale was .76 and .71 for LE and UE groups, respectively. Paired T test results were statistically significant to detect change over time (0.03, 0.04, and 0.04 for LE groups and 0.03, 0.01, and 0.04 for UE groups). CONCLUSION: The Italian version of TESS can be used for the bone and soft tissue sarcoma population in clinical trials in Italy and with Italian speaking patients abroad to ensure patients' perspectives for efficacy and efficiency of treatments.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".