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Record W2921969521 · doi:10.1097/sap.0000000000001769

Recurrent Breast Cerebrospinal Fluid Pseudocyst

2019· review· en· W2921969521 on OpenAlexaff
Luke R. R. Zawadiuk, Aaron C. Van Slyke, Sheina A. Macadam

Bibliographic record

VenueAnnals of Plastic Surgery · 2019
Typereview
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsResearch CanadaUniversity of British Columbia
Fundersnot available
KeywordsMedicineCerebrospinal fluidShunt (medical)SurgeryRadiologyPathology

Abstract

fetched live from OpenAlex

Ventriculoperitoneal (VP) shunt complications involving the breast are rare, with the majority involving the formation of a cerebrospinal fluid pseudocyst. We present the case of a 22-year-old woman with recurrent cerebrospinal fluid pseudocyst secondary to fracture of a VP shunt at the time of breast surgery for breast asymmetry. We review the literature on this topic and present our case that highlights the need of the breast surgeon to take into account the position of VP shunts placed at birth. Shunts placed on the chest wall may result in breast asymmetry requiring surgery in the adolescent. Shunts in place since birth may be at greater risk of fracture during breast implant placement due to manipulation of a calcified and fragile shunt leading to formation of a cerebrospinal fluid pseudocyst.

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)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.202
GPT teacher head0.370
Teacher spread0.168 · 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
GenreReview

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

Citations5
Published2019
Admission routes1
Has abstractyes

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