Toronto extremity salvage score-patient reported outcome measures in upper extremity bone tumors treated with limb salvage surgery
Bibliographic record
Abstract
Bone and soft tissue tumors of upper extremity are relatively uncommon than those of lower limb. Treating these patients while retaining a functional limb is quite a challenge. Along with musculoskeletal tumor society score, Toronto extremity salvage score (TESS) is most widely used patient-reported outcome measure for sarcomas of upper extremity. Retrospective analysis of patients with upper extremity bone tumors (24) treated with limb salvage surgery (20) from 2014 to 2022 was undertaken. Mean follow-up period was 26 months and mean age was 30.2 years. Out of 20, 11 humerus cases were of tumors arising from humerus, 5 in radius and 3 in ulna. 9 patients were treated with custom mega prosthesis reconstruction, 6 with fibular free flap, 6 radius underwent simple resection and 1 curettage. Majority of the cases were giant cell tumors (8) followed by osteosarcoma (3), fibromatosis (3), aneurysmal bone cyst (2), simple bone cyst (2), 1 Ewing sarcoma and 1 metastatic bone disease. The mean TESS score of the sample population was 69.7 Most of the patients (11) rated their disability to be of moderate degree and considered themselves to be moderately disabled. The mean TESS score for CMP group was 71.1, while that of autograft reconstruction was 68.3. Despite only half the population having received CMP as a reconstructive option, nearly 40% patients with disease of forearm where the results are not so great, our study population reported a reasonably good patient reported outcome score. A dedicated physiotherapy team with tailor made exercise protocol for each patient depending on their needs can help in improving the quality of life.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".