Preoperative chemoradiation and flap reconstruction provide high local control and low wound complication rates for patients undergoing limb salvage surgery for upper extremity tumors
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Neoadjuvant protocols in the management of upper extremity sarcoma have improved local control rates but have been associated with high complication rates. We present a refinement of the Eilber protocol using judicious preoperative chemoradiation, limb salvage surgery, and flap coverage to achieve high local control rates with acceptable wound healing complications. METHODS: Patients presenting with upper extremity neoplasms from 1986 to 2002 were treated with a modified Eilber protocol, consisting of 3 days of adriamycin (30 mg/day) and sequential radiotherapy (300 cGy/day for 10 days). Limb salvage surgery with flap coverage where needed was performed 4-8 weeks later. Patients were followed prospectively for recurrence. RESULTS: Fifty-three consecutive patients with upper extremity tumors were treated and followed for a mean of 6.1 years. This cohort included 44 sarcomas and nine non-metastasizing, locally aggressive tumors. There were two local recurrences (3.8%). Limb salvage was achieved in all patients. Flaps were required in 43.4% of patients. Major complications occurred in 11%, were all flap related (partial flap loss, venous congestion), and went on to heal promptly with treatment. CONCLUSION: This modified Eilber protocol achieved 96% local control for upper extremity tumors with a wound complication rate of 11%. The liberal use of flaps of resulted in healed, stable wounds in all patients.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".