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Record W2746137068 · doi:10.1111/ijd.13710

Peristomal skin complications: what dermatologists need to know

2017· review· en· W2746137068 on OpenAlexaff
Dalal Almutairi, Kimberly LeBlanc, Afsáneh Alavi

Bibliographic record

VenueInternational Journal of Dermatology · 2017
Typereview
Languageen
FieldMedicine
TopicStoma care and complications
Canadian institutionsQueen's UniversityWomen's College HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineStoma (medicine)DermatologyComplicationSkin careIncidence (geometry)Presentation (obstetrics)General surgeryMEDLINESurgeryNursing

Abstract

fetched live from OpenAlex

A stoma is an artificial opening to the skin formed when a part of the gastrointestinal tract is resected and opened to the skin in order to divert the bowel content to the skin surface. The incidence of stomal and peristomal complication varies from 30 to 67% with a significant negative impact on patient quality of life. Despite their prevalence, care providers tend to show insufficient awareness of peristomal skin complications, and research-based evidence related to peristomal skin complication and management options particularly in dermatology literature is sparse. This article will present a comprehensive review of peristomal skin complications in classification, clinical presentation, causes, prevention, and management aiming at increasing knowledge about this topic.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.005
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.002

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 head0.102
GPT teacher head0.453
Teacher spread0.351 · 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 designNot applicable
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

Citations59
Published2017
Admission routes1
Has abstractyes

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