Free flaps for head and neck cancer reconstruction: Does the use of both large cervical vessels as recipient vessels and the employment of end-to-side technique enhance flap survival?
Bibliographic record
Abstract
This study specifically investigates whether the use of both large cervical vessels (the external carotid artery and the internal jugular vein) as recipient vessels with end-to-side anastomosis enhance free flap survival in head and neck cancer reconstruction, when compared with the use of other standard smaller neck recipient vessels and end-to-end anastomosis. A total of 84 consecutive patients were included and were divided into two groups (42 in each group) according to the recipient vessels. The overall vessel thrombosis rate was 6% (five of 84 cases) and the overall flap loss rate was 2.4% (two of 84 cases) yielding a flap salvage rate of 60%. Vessel thrombosis occurred in three cases of the smaller vessels group and in two cases of the large cervical vessels group. This was not statistically significant.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".