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The Ostomy Skin Tool: tracking peristomal skin changes

2010· article· en· W1979485539 on OpenAlex

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

VenueBritish Journal of Nursing · 2010
Typearticle
Languageen
FieldMedicine
TopicStoma care and complications
Canadian institutionsUniversity of TorontoLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineSkin careCategorical variableReliability (semiconductor)DermatologyNursingComputer science

Abstract

fetched live from OpenAlex

The Ostomy Skin Tool is a standardized measuring instrument for assessing the extent and severity of peristomal skin change in terms of discolouration (D), erosion (E), and tissue overgrowth (T) (DET). The reliability and validity of this tool has been determined in a previous study. The purpose of this article is to highlight the study's most important findings, and to demonstrate the usefulness of the DET score by evaluating three examples of peristomal skin changes. Additionally, a simplified categorical severity scale (defining 'mild', 'moderate', and 'severe' conditions) is introduced that may improve clinical interpretation of the DET score. It is reasonable to conclude that the DET score may empower the ostomy care nurse with an evidence-based platform to make qualified decisions on evaluation and treatment of peristomal skin disorders.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.983
Threshold uncertainty score0.283

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.024
GPT teacher head0.311
Teacher spread0.288 · 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