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Record W2048188091 · doi:10.2337/diaspect.22.3.138

Eating Disorders and Diabetes: Introduction and Overview

2009· article· en· W2048188091 on OpenAlexaff
Patricia Colton, Gary Rodin, Richard M. Bergenstal, Christopher G. Parkin

Bibliographic record

VenueDiabetes Spectrum · 2009
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsMedicineEating disordersDiabetes mellitusType 2 diabetesGerontologyPopulationPsychiatryEnvironmental healthEndocrinology

Abstract

fetched live from OpenAlex

In Brief Eating disorders are more common in individuals with type 1 diabetes than in the general population. Although limited research has been conducted in this area, existing evidence shows that these conditions significantly affect the physical and emotional health of individuals with diabetes and are associated with impaired metabolic control and a high risk of medical complications, including higher mortality rates. New nomenclature was recommended at an international focus group held in Minneapolis, Minn., in September 2008. Composed of individuals with interest and expertise in eating disorders among individuals with diabetes, the group recommended that the term ED-DMT1 be used to designate those with an eating disorder and type 1 diabetes and ED-DMT2 be used for those with an eating disorder and type 2 diabetes. This article provides an overview of clinical features, consequences, and pathways of risk associated with ED-DMT1.

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)0.001
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 score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0010.001
Scholarly communication0.0010.003
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 head0.010
GPT teacher head0.268
Teacher spread0.258 · 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

Citations70
Published2009
Admission routes1
Has abstractyes

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