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Record W4404529826 · doi:10.1093/jscr/rjae702

Five flaps or four? Z-plasty for the release of first webspace burn contractures of the hand

2024· article· en· W4404529826 on OpenAlexaff
Alan D. Rogers, Syena Moltaji, David K. Wallace

Bibliographic record

VenueJournal of Surgical Case Reports · 2024
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsHealth Sciences CentreMuscular Dystrophy CanadaUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineMuscle contractureSurgeryBurn woundWound healing

Abstract

fetched live from OpenAlex

First webspace contractures are common indications for reconstructive burn surgery. Commonly performed procedures for this indication include either the four- or five-flap variations of the z-plasty, which involves the transposition of flaps about a central limb in order to obtain greater length, and thus, improve the thumb's important contribution to coordinated and precise hand function. This paper outlines the predominant reason for favouring the five-flap variation for this indication. This conclusion is derived from the notion that although the gain in length may be greater for the four flap, to make the comparison it assumes that the length of the central limbs are the same for the two techniques. For most cases, however, the central limb cannot exceed much >3 cm for a four-flap z-plasty, while 4 cm may be utilized for a 'jumping man' procedure.

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)0.001
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
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.018
GPT teacher head0.285
Teacher spread0.267 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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