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Record W2017749010 · doi:10.1055/s-2001-16025

Use of a Mechanical Leech in a Reverse-Flow Radial Forearm Flap: Case Report

2001· article· en· W2017749010 on OpenAlexaff
Giorgio C. La Scala, Sean M. Carroll, Christopher R. Forrest, Ronald M. Zuker

Bibliographic record

VenueJournal of Reconstructive Microsurgery · 2001
Typearticle
Languageen
FieldMedicine
TopicLeech Biology and Applications
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineSurgeryForearmRadial arteryFree flapSilasticVeinCephalic veinVenous ValvesMicrosurgeryAnatomyArtery

Abstract

fetched live from OpenAlex

The reverse-flow radial forearm flap provides excellent coverage for distal upper-limb defects. It is simply raised and does not require microsurgical skills. However, since its vascular pedicle is reversed, its venous outflow can be significantly diminished because of the venous valves. The authors present the case of a 16-year-old patient with a sagittal amputation of the radial aspect of the right thumb, who manifested at the time of surgery marked venous engorgement of a reverse-flow radial forearm flap. This was successfully relieved by the placement of a mechanical leech consisting of a Silastic rubber catheter--of the kind used to gain central vascular access in newborns--introduced in the lumen of the reversed vein at the extremity of the flap. This permitted intermittent evacuation of blood from the flap postoperatively, contributing to the success of this procedure. The technique used is detailed and pertinent literature is reviewed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0070.003
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.041
GPT teacher head0.291
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2001
Admission routes1
Has abstractyes

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