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Record W3214556899 · doi:10.1097/gox.0000000000003927

Modified Incision for Muscle-sparing Latissimus Dorsi to Increase Flap Perfusion in the Morbidly Obese

2021· article· en· W3214556899 on OpenAlexaff
Jean-Claude D. Schwartz

Bibliographic record

VenuePlastic & Reconstructive Surgery Global Open · 2021
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsCegep de Sept Iles
Fundersnot available
KeywordsMedicineLatissimus dorsi muscleThoracodorsal arteryAxillaSurgeryPerfusionAnatomyBreast reconstructionCircumflexFree flapArteryBreast cancerRadiologyCancer

Abstract

fetched live from OpenAlex

The muscle-sparing latissimus dorsi flap relies on perforators from the descending branch of the thoracodorsal artery. Previous descriptions placed a transverse skin island independent of perforator location, as any design was thought to capture enough perforators to ensure flap survival. We have found this approach prone to complications when attempting breast reconstruction in obese patients who require large flap volumes. Although the most proximal perforators have the most reliable blood flow, inclusion of these perforators reduces the arc of rotation, as the flap would be close to the pivot point at the most cranial point of muscle division, leaving significant volume in the axilla. Here we describe a modified skin incision that includes all of the proximal perforators but also allows us free design of the skin island to harvest those areas of the back with maximal subcutaneous tissue and with enough distance from the pivot point to optimize arc of rotation.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.038
GPT teacher head0.310
Teacher spread0.272 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations2
Published2021
Admission routes1
Has abstractyes

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Same venuePlastic & Reconstructive Surgery Global OpenSame topicReconstructive Surgery and Microvascular TechniquesFrench-language works237,207