Cross-cultural adaptation and validation of the Turkish version of the Musculoskeletal Tumor Society scoring system in patients with musculoskeletal tumors
Bibliographic record
Abstract
OBJECTIVE: This study aimed to translate and cross-culturally adapt the musculoskeletal tumor society (MSTS) scoring system into Turkish and to determine the reliability and validity of the translated version for the functional evaluation of patients with musculoskeletal tumors. METHODS: A total of 36 patients (16 women, 20 men; mean age=36.6; age range=13-75 years) who underwent limb-salvage surgery owing to benign aggressive or malignant musculoskeletal tumors were included in the study. Translation and back translations of the MSTS were performed according to the published guidelines. Short form (SF) 36 physical component, Western Ontario and McMaster Universities Arthritis Index (WOMAC), disabilities of the arm, shoulder, and hand (DASH), and range of motion scale (ROMS) that were previously analyzed for Turkish validation were used for validity. Reliability of MSTS Turkish version was evaluated by calculating test-retest reliability and internal consistency. Intraclass correlation coefficient (ICC) was used to evaluate the inter-observer consistency and test-retest reliability. Alpha coefficient (Cronbach's alpha) was used to evaluate the internal consistency. RESULTS: It was observed that total MSTS score has a strong negative correlation with DASH (r=-0.689; p<0.001) and WOMAC scores (r=-0.634; p<0.001) and moderate correlation with the ROMS score (r=0.521; p<0.001). Total MSTS score also had a statistically significant strong correlation with SF-36 scores (r values ranging from 0.425 to 0.609, p<0.001). Inter and intra-observer reliability of the MSTS scale was found to be excellent (Cronbach's α=0.97 p<0.001; ICC: 0.97 (0.96-0.99; p<0.001). Unlike other subscales, statistical correlation between dexterity and hand-positioning subscales of MSTS with DASH scores was found to be insignificant (r=-0.533, p =0.061 and r=-0.336, p=0.261, respectively). CONCLUSION: The Turkish version of the MSTS scoring system seems to be a valid and reliable scale that measures the correct and desired values in the evaluation of health-related quality of life in orthopedic oncology. Reliability coefficients of the Turkish version of MSTS were determined to be strong. LEVEL OF EVIDENCE: Level II, Diagnostic Study.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".