Facial Plexiform Neurofibroma excision with sequential muti-layer hemostatic sutures, the novel technique to reduce blood loss
Bibliographic record
Abstract
Plexiform neurofibromatosis is an autosomal dominant and is frequently seen at birth. Surgical excision is asociate to facial nerve damage and profussal bleeding. Sequential multi-layered hemostatic sutures is a technique frequently used in our practice for Arterio-veous malfromations (AVM). 15 patiets with facial plexiform neurofibroma were treated from 2004 to 2020 with surgical excision, in all patients the hemifacial area was affected. Although preoperative embolization is well known as a safe technique to reduce intraoperative bleeding, low rates of serious complications were reported as stroke, ischemic attack and necrosis. The multi-layered hemostatic sutures permit to remove piecewise the tumor avoiding dramatically bleeding in all our procedures, and is based on vessel collapse after mechanical ligation. The sequential multi-layer suture and the retrograde disection of the facial nerve in our practice has decresed the average of iatrogenic damage of nerve, and massive bleeding during the excision of the plexiform neurofibroma.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".