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Record W4416345117 · doi:10.1016/j.jpra.2025.11.008

Dissecting the details: A case-based anatomical walkthrough of the antegrade posterior interosseous artery flap for elbow reconstruction

2025· article· en· W4416345117 on OpenAlexaff
Andrea Sól Kristjánsdóttir, Anna L. Duncan, Eleonora O.F. Dimovska

Bibliographic record

VenueJPRAS Open · 2025
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsSaint John Regional HospitalUniversity of New Brunswick
Fundersnot available
KeywordsElbowPosterior interosseous nerveUlnar nerveWristSoft tissueMedian nerveFree flap

Abstract

fetched live from OpenAlex

The pedicled posterior interosseous artery flap is a reliable and effective option for reconstructing soft tissue defects in the upper extremity. Commonly described in a retrograde fashion for distal defects, its antegrade counterpart is less frequently reported, particularly in relation to elbow reconstructions. Additionally, there are few and less detailed descriptions on how to safely and correctly identify the posterior interosseous nerve (PIN) in the harvest. The current case describes the use of the pedicled antegrade posterior interosseous artery flap to resurface a complex elbow wound with exposed triceps tendon, exposed ulnar nerve and an open elbow joint. We present a detailed step-by-step harvest with the additional anatomical description of the topography of the PIN branches relative to the PIA pedicle.

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)0.002
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.022
GPT teacher head0.328
Teacher spread0.306 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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