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Record W3000298404 · doi:10.1177/2513826x19898831

Refractory Donor-Site Seroma Following DIEP Breast Reconstruction

2020· article· en· W3000298404 on OpenAlexaffvenue
Trina Stephens, Nancy Van Laeken, Sheina A. Macadam

Bibliographic record

VenuePlastic Surgery Case Studies · 2020
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsUniversity of British ColumbiaQueen's University
Fundersnot available
KeywordsSeromaMedicineDIEP flapSurgeryBreast reconstructionComplicationBreast cancerCancerInternal medicine

Abstract

fetched live from OpenAlex

Donor-site seroma formation is a complication of autologous breast reconstruction reported most commonly with the use of latissimus dorsi flaps. First-line treatment is percutaneous aspiration which leads to resolution in the majority of cases. Those that persist may progress to a chronic, refractory seroma, which can prove challenging in terms of treatment. The aim of this article is to provide an updated literature review of interventions for chronic donor-site seroma and present the case of a 65-year-old female with a recalcitrant abdominal seroma following deep inferior epigastric perforator (DIEP) flap breast reconstruction. Literature review revealed a single article that reported 2 cases of persistent donor-site seroma after DIEP flap breast reconstruction. The patient presented here underwent repeat aspiration, drain placement, and multiple surgical procedures to achieve resolution. In total, the post-reconstruction seroma history of the patient extended over approximately 14 months. We conclude with evidence-based suggestions for chronic, donor-site seroma prevention and treatment.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.274
Teacher spread0.237 · 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
Published2020
Admission routes2
Has abstractyes

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