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Record W2591084012 · doi:10.1177/2513826x1500100303

Late Seroma Formation During Pregnancy: Case Report and Review of the Literature

2015· article· en· W2591084012 on OpenAlexaffvenue
Kalila Steen, Gabrielle Gauvin, Kimberley Meathrel

Bibliographic record

VenuePlastic Surgery Case Studies · 2015
Typearticle
Languageen
FieldMedicine
TopicBreast Implant and Reconstruction
Canadian institutionsQueen's UniversityUniversity of Toronto
Fundersnot available
KeywordsSeromaMedicineSurgeryComplicationBreast augmentationPregnancyMagnetic resonance imagingImplantBreast surgeryRadiologyBreast cancer

Abstract

fetched live from OpenAlex

Breast augmentation surgery is the most common cosmetic surgery in the United States, and seroma is a known complication of breast augmentation. However, late seroma is a rare event and is most associated with textured implants. A 29-year-old woman with a remote history of breast implantation presented to the plastic surgery clinic for evaluation of a swollen breast, which began 24 h postpartum. Magnetic resonance imaging revealed peri-implant fluid maintained within the fibrous capsule. The patient was managed conservatively and the swelling self-resolved without recurrence. The authors report the first known case of a late seroma associated with pregnancy, occurring nine years postoperatively.

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)0.003
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: none
Teacher disagreement score0.004
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0030.001
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 head0.042
GPT teacher head0.278
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

Citations0
Published2015
Admission routes2
Has abstractyes

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