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Record W4415381551 · doi:10.1097/gox.0000000000007219

Combining Historic and Modern Concepts: How the Delay Phenomenon Enhances Propeller Flap Success in Large Dorsolumbar Soft Tissue Reconstruction

2025· article· en· W4415381551 on OpenAlexaff
Daisy Lu, Michel Alain Danino, Oussama Sahraoui, Maxime Abellan Lopez, Jesse Shen, Zhi Wang

Bibliographic record

VenuePlastic & Reconstructive Surgery Global Open · 2025
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsUniversity of British ColumbiaCentre Hospitalier Universitaire Sainte-JustineMontreal General HospitalCentre hospitalier universitaire de QuébecUniversité de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsPropellerSoft tissueDorsumDynamic positioningWound care

Abstract

fetched live from OpenAlex

The authors present a novel 2-staged approach for complex dorsolumbar wound reconstruction in a multioperated spine patient with limited local flap options and contraindications for free flap reconstruction due to arteriosclerosis and cardiac issues. A delayed dorsal propeller flap was first autonomized to enhance perfusion, followed by elevation and mobilization 4 weeks later. This approach combined the historic delay phenomenon with modern propeller flap techniques, achieving durable coverage and infection control. The case highlights the value of integrating traditional and innovative surgical methods for complex reconstructions.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.285
Teacher spread0.268 · 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 teacher head, not a consensus.

Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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