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Record W4246015688 · doi:10.1177/2513826x1600200301

Complications of Polyacrylamide Hydrogel Augmentation Mammoplasty: A Case Report and Review of the Literature

2016· article· en· W4246015688 on OpenAlex
Jessica Winter, Sarah Shiga, Avinash Islur

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenuePlastic Surgery Case Studies · 2016
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineBreast augmentationSurgeryPresentation (obstetrics)Case presentationMammoplastyAugmentation MammoplastyBreast reconstructionPopulationDebridement (dental)Breast cancerImplantCancer

Abstract

fetched live from OpenAlex

The use of Polyacrylamide hydrogel (PAAG) as an injectable filler for breast augmentation has fallen out of popularity since its first use in the 1980s, but has produced an increasing patient population presenting with complications related to PAAG injections. PAAG use was popularized most notably in China, Russia and Iran. However, given immigration trends and medical tourism, PAAG-related complications have become increasingly more common in North America. These complications can be difficult to treat, often necessitating complex surgery that includes gel removal, debridement procedures and, often, breast reconstruction. Approaches to surgical treatment and subsequent breast reconstruction are not universally defined primarily because of the limited knowledge about this group of patients. The present article presents the option of autologous free flap reconstruction for a patient with extensive muscular involvement, and aims to summarize complications and risks associated with PAAG through a case presentation and literature review.

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)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.586
Threshold uncertainty score0.462

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.026
GPT teacher head0.299
Teacher spread0.273 · 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