Surgical considerations for management of distal extremity soft tissue sarcomas
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE OF REVIEW: This review focuses on the surgical management of soft tissue sarcomas of the hands and the feet. With recent advances in limb salvage surgery and radiotherapy delivery, local control of soft tissue sarcoma in the extremity has become optimized, and the associated functional results of this treatment have taken on extreme importance. Techniques to limit the amount of normal tissue resected and to reconstruct the resulting defects are critical to the final functional result. RECENT FINDINGS: Several features of soft tissue sarcoma unique to the hand and foot have been reported. Certain histologic subtypes of soft tissue sarcoma have been noted to arise preferentially in the hand and the foot, such as epithelioid sarcoma, clear cell sarcoma, and synovial sarcoma. Patients with hand and foot sarcomas have been described as having improved overall survival, but this is likely a result of the smaller size of tumors arising in these locations. Reconstruction of bone defects using various techniques, vascular reconstruction, tendon transfers, and soft tissue reconstruction using regional flaps in the hand and free flaps in the foot have resulted in good functional outcomes. Amputation and early prosthetic fitting still have a role in management of some soft tissue sarcomas, most frequently in the foot. SUMMARY: Limb salvage remains the standard of care for extremity soft tissue sarcomas. Given the fact that patients have good oncologic and functional outcomes with limb salvage in tumors in the hand and foot, surgical oncologists should have this goal for each patient.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 it