MétaCan
Menu
Back to cohort
Record W2913816185 · doi:10.1308/rcsann.2019.0003

Dorsal pentagonal island flap to reconstruct post-burn interdigital web

2019· article· en· W2913816185 on OpenAlexaboutno aff
TOH Prasetyono, CR Andrian

Bibliographic record

VenueAnnals of The Royal College of Surgeons of England · 2019
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsDorsumMetacarpophalangeal jointContractureMedicineSurgeryAnatomyThumb

Abstract

fetched live from OpenAlex

INTRODUCTION: This study reports the use of a dorsal pentagonal island flap for post-burn webbing contracture, in which the islanded flap is harvested from the burn scar tissue. METHODS: Fourteen dorsal pentagonal island flaps were harvested in seven patients with post-burn webbing. Each flap was selected by examining the scar tissue donor using a modified Vancouver scar scale. Modification from the basic design was made according to the density of the donor scar tissue and the metacarpophalangeal joint movement. RESULTS: All the flaps survived with normal abduction of the affected fingers. Modification of the flap design needed adjustment by assessing it through flexion and extension of the metacarpophalangeal joints. There was no incidence of web creep after two months to one year of follow-up. CONCLUSION: Dorsal pentagonal island flap shows promising results as an alternative for reconstructing post-burn webbing.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.014
GPT teacher head0.259
Teacher spread0.245 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of The Royal College of Surgeons of EnglandSame topicReconstructive Surgery and Microvascular TechniquesFrench-language works237,207