Lower-Extremity Soft-Tissue Sarcoma Functional Outcome and Quality of Life after Treatment
Bibliographic record
Abstract
Background Soft-tissue sarcomas (STS) represent approximately 1% of all solid malignancies in adults. More than 50% of STSs are localized in the extremities. The aim of extremity STS treatment is survival and limb salvage with the best possible quality of life (QoL) and functional outcome. There has been increasing interest to report the health-related quality of life (HRQL) and functional outcome after treatment. Measures should be valid, reliable, accurate, and clinically meaningful for the population in question. A few studies have focused on patient-related factors or assessment using multiple metrics in analyzing long-term functional outcome and HRQL in surgically treated lower-extremity STS patients. Materials and methods The dissertation is based on four papers that are focused on different aspects of functional outcome and HRQL in lower-extremity STS. The first paper was a pilot study in which the Toronto Extremity Salvage Score (TESS) and the Musculoskeletal Tumor Society (MSTS) score were translated to Finnish language according to accepted guidelines. The second paper was a systematic literature review that was based on the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Results on measurement types, measures, and time of measurement of functional outcome were compiled from the included studies. Validity of the used measures was reported. The third paper was a cross-sectional validation study that was based on STS limb-salvage patients. Assessments of functional outcome and HRQL were performed using the TESS, the QLQ-C30 Function and QoL modules, the 15D, and the MSTS score. The TESS was repeated twice at a 2- to 4-week interval. The fourth paper was a cross-sectional study in which functional outcome and HRQL analysis were performed using STS limb-salvage patients. The TESS, QLQ-C30, and 15D measures were used. Functional outcome and HRQL data were collected prospectively and other data retrospectively. Results Finnish versions of the TESS and the MSTS questionnaires were translated and culturally adapted. No problems or difficulties were reported by the patients in completing the Finnish versions of TESS or MSTS questionnaires. The systematic literature review search found 3461 publications, of which 37 met the inclusion criteria. The measurement types used were clinician-reported outcomes (n=27), patient-reported outcomes (PRO) (n=20), and observer-reported outcomes (n=2). The most frequently used measures were the TESS (n=16) and the MSTS (1993) (n=12) scores. Three of the ten previously reported measures provided validated functional outcome scores. The TESS questionnaire’s ceiling effect was noted, as 21% of the patients scored maximum points. The intraclass correlation coefficient between first and second administration of the TESS was very high (0.96). The results of exploratory factor analysis together with high Cronbach’s α (0.98) supported a unidimensional structure. The TESS correlated moderately with the MSTS score ( = 0.59, p < 0.001) and strongly with the mobility dimension in the 15D HRQL instrument ( = 0.76, p < 0.001) and physical function in QLQ-C30 ( = 0.83, p < 0.001). A total of 141 patients undergoing limb-salvage surgery were included in the fourth study. Based on our sample, lower functional outcome was statistically significantly associated with older age, higher body mass index (BMI), and need for reconstructive surgery and radiotherapy. Lower HRQL was statistically significantly associated with older age, higher BMI, and reconstructive surgery. Conclusion Translation and cultural adaptation of questionnaires should be performed according to internationally accepted guidelines. The current thesis is the first to validate the TESS distinctly for lower-extremity STS patients. In addition, the thesis demonstrates that the TESS measure is valid and reliable in Finnish. Based on the systematic review, several different methods exist for assessing functional outcome in patients with lower-extremity sarcoma. The most frequently used measure is a validated TESS. The postoperative functional outcome in patients with lower-extremity STSs seems to increase back to the preoperative baseline level during long-term follow-up evaluation. Post-treatment functional outcome of patients with lower-extremity STS is affected by BMI, age, and need for reconstructive surgery and radiotherapy. The most significant predictors affecting HRQL are BMI, age, and need for reconstructive surgery. Although tumor- and treatment-related factors had an impact, patient-related factors such as age and BMI were the most consistent and significant determinants of both functional outcome and HRQL.
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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 | 0.004 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".