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Record W2781275677 · doi:10.1097/prs.0000000000003933

MBN 2016 Aesthetic Breast Meeting BIA-ALCL Consensus Conference Report

2017· article· en· W2781275677 on OpenAlex
Maurizio Bruno Nava, William P. Adams, Antonella Campanale, Giuseppe Catanuto, Mark W. Clemens, Daniel A. Del Vecchio, Roy De Vita, Arianna Di Napoli, Elisabeth Hall-Findlay, Dennis C. Hammond, Per Hedén, Patrick Mallucci, Jose L. Martín del Yerro, Egle Muti, Alberto Rancati, Charles Randquist, Marzia Salgarello, Constantin Stan, Nicola Rocco

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

VenuePlastic & Reconstructive Surgery · 2017
Typearticle
Languageen
FieldMedicine
TopicBreast Implant and Reconstruction
Canadian institutionsCanadian Association of Nurses in Oncology
Fundersnot available
KeywordsConsensus conferenceMedicineInternal medicine

Abstract

fetched live from OpenAlex

Breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is an uncommon neoplasia occurring in women with either cosmetic or reconstructive breast implants. The actual knowledge about BIA-ALCL deriving from the literature presents several limits, and it remains difficult to make inferences about BIA-ALCL epidemiology, cause, and pathogenesis. This is the reason why the authors decided to organize an evidence-based consensus conference during the Maurizio Bruno Nava (MBN 2016) Aesthetic Breast Meeting held in Milan in December of 2016. Twenty key opinion leaders in the field of plastic surgery from all over the world have been invited to express and discuss their opinion about some key questions on BIA-ALCL, trying to reach a consensus about BIA-ALCL cause, pathogenesis, diagnosis, and treatment in light of the actual best evidence.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.035
GPT teacher head0.266
Teacher spread0.231 · 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