Intraoral Hirudotherapy for Venous Congestion following Free Flap Head and Neck Reconstruction: Novel Intraoral Technique
Bibliographic record
Abstract
Intraoral hirudotherapy is traditionally used for venous congestion following head and neck free flap reconstruction. Many institutions and healthcare teams have been reluctant to use intraoral leech therapy due to risks such as migration into the airway, increased infection from intraoral manipulation, and patient discomfort. Several protocols recommend blocking the path to the oropharynx via gauze or leaving a tracheotomy in place to protect the airway. This report pre-sents a novel technique for intraoral hirudotherapy that is safe and simple for treatment of free flap venous congestion. The base of a clear cup or a plastic lid is utilized, and the leech is attached onto the inside of the lid with 2 sutures near each end. Several cups with leeches attached are made at a time to reduce delay and difficulty of application by less experienced clinical staff. The leech is then applied onto the compromised flap and then simply removed once it has unlatched from the flap. This method allows the leech to be applied with ease by multiple members of the healthcare team, decreases the need for intraoral manipulation, and reduces the risk of migration into the aerodigestive tract. Future prospective studies are warranted to assess the efficacy of this technique.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".