Demystifying vascularized lymph node transfers and lymphatico-venous anastomoses
Bibliographic record
Abstract
Lymphedema continues to be a widely prevalent condition with no definitive cure. It affects a wide range of patients across different ages and backgrounds. The significant burden of this chronic and debilitating condition necessitates more research and comprehensive healthcare coverage for affected patients. In developed countries, cancer survivors are disproportionality affected by this condition. Risk factors including lymph node dissections and radiation render many cancer patients more susceptible to the development of lymphedema. Part of the challenge with lymphedema care, is that it exits on a broad spectrum with significant variability of symptoms. Advances and broader availability of various imaging modalities continue to foster progress in lymphedema surgery. The conservative management of lymphedema remains the primary initial management option. However, lymphedema surgeries can provide significant hope and may pave the way for significant improvements in the quality-of-life for many patients afflicted by this progressive and enfeebling condition. Reductive and physiologic procedures are becoming an important part of the armamentarium of the modern plastic and reconstructive surgeon. Recent advances in physiologic lymphedema surgeries are accelerating their transition from experimental surgeries to broadly adopted and widely accepted procedures that can lead to major successes in the fight against this condition. Prophylactic lymphedema surgery also presents a promising choice for many patients and can help prevent lymphedema development in high-risk 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".