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Record W2464810552 · doi:10.1002/micr.30066

Anastomosis to the common and proper digital vessels in free flap soft tissue reconstruction of the hand

2016· article· en· W2464810552 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMicrosurgery · 2016
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineMicrosurgerySoft tissueDigital arterySurgeryAnastomosisDorsumFree flapVeinArteryAnatomy

Abstract

fetched live from OpenAlex

OBJECTIVE: This study seeks to demonstrate the safety of anastomosing free flaps to the common or proper digital artery, and to the volar or dorsal digital vein in soft tissue reconstruction of the hand; as well, as to discuss the advantages of this technique. METHODS: Retrospective review of all patients who underwent free flap reconstruction of the hand in two institutions over a period of 5 years. RESULTS: A total of 29 free flaps (9 great toe pulp, 7 anterolateral thigh, 6 second toe pulp, 4 radial artery perforator, 2 partial medial rectus, 1 lateral arm) in 28 patients met our inclusion criteria. All recipient vessels were the proper or common digital artery and the volar or dorsal digital vein. There was one case of venous congestion that resolved with leeching. There was no partial or total loss of any of the flaps. CONCLUSION: Anastomosing soft tissue free flaps to the common or proper digital artery, and the volar or dorsal digital vein is a safe and effective approach with numerous advantages that should be considered in the reconstruction of soft tissue defects of the hand. © 2016 Wiley Periodicals, Inc. Microsurgery, 38:21-25, 2018.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.229

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.009
GPT teacher head0.226
Teacher spread0.217 · 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