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Use of Abdominal Quilting Sutures for Seroma Prevention in TRAM Flap Reconstruction:

2005· article· en· W1999957775 on OpenAlexaff
Colleen McCarthy, Peter Lennox, Eva T. Germann, Patricia A. Clugston

Bibliographic record

VenueAnnals of Plastic Surgery · 2005
Typearticle
Languageen
FieldMedicine
TopicBody Contouring and Surgery
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineQuiltingSeromaSurgeryAbdominal wallFibrous jointBreast reconstructionRectus abdominis muscleComplicationBreast cancerCancerInternal medicine

Abstract

fetched live from OpenAlex

In Brief This study is designed to evaluate the effect of abdominal quilting sutures on the incidence of abdominal seroma formation in patients undergoing pedicled transverse rectus abdominis musculocutaneous (TRAM) flap reconstruction. It is theorized that the use of such sutures during closure of abdominal flaps will collapse dead space, thus preventing abdominal seroma formation. A total of 71 consecutive patients undergoing pedicled TRAM flap breast reconstruction were randomly assigned to receive abdominal quilting sutures or to undergo a standard abdominal closure. Primary outcome measures included: daily drain output for the first 3 postoperative days, time to drain removal, and seroma formation. Drain output per day decreased with the use of abdominal quilting sutures; however, the time to drain removal was not significantly affected. Most importantly, there was no significant decrease in the incidence of seroma formation with the use of abdominal quilting sutures in this series. Seventy-one consecutive patients undergoing pedicled TRAM procedures were randomized to receive either abdominal quilting sutures or standard closure. There was decreased drain output with quilting sutures but no difference in seroma formation or time to drain removal.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.157
GPT teacher head0.341
Teacher spread0.184 · 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 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

Citations57
Published2005
Admission routes1
Has abstractyes

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