Evidence map›Paper›PMID 21707126›Full record

ArticleJournal of abnormal psychology2012

Latent class analysis of eating disorders: relationship to mortality.

Scott J Crow, Sonja A Swanson, Carol B Peterson, Ross D Crosby, Stephen A Wonderlich, James E Mitchell

Abstract read
In one paragraph

Article in Journal of abnormal psychology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  8. The current clinical approach to feeding and eating disorders aimed to increase personalization of management.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2025
    Article
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  19. Review
  20. Medical comorbidity of binge eating disorder.Eating and weight disorders : EWD · 2017
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Scott J CrowDepartment of Psychiatry, University of Minnesota Medical School, Minneapolis, MN 55454, USA.crowx002@umn.edu
Sonja A Swanson
Carol B Peterson
Ross D Crosby
Stephen A Wonderlich
James E Mitchell

Funding

Obesity and Energy Metabolism CoreP30DK050456 · NIDDK · UNIVERSITY OF MINNESOTA TWIN CITIES · PI BERNLOHR, DAVID A · 1995 to 2015
$17.0M
NIDDK NIH HHS P30 DK050456NIDDK NIH HHS P30 DK 50456
6 · The paper itself

Abstract

The current diagnostic nomenclature for eating disorders has shortcomings. Empirical attempts to identify a new nomenclature have found numerous latent structures, but validation of this work has been largely cross-sectional, and nothing is known yet about the relationship of derived latent classes to mortality. This study examined latent diagnostic structure in 1,885 participants seeking outpatient eating disorder treatment over an 18-year period. Eating disorder symptoms were used as indicators, and the main validator was mortality as assessed using computerized linkage to the National Death Index. Six latent classes were derived; three of the six had significantly elevated standardized mortality ratios. It appeared that the latent class structure yielded better delineation of mortality risk than the existing classifications in the Diagnostic and Statistical Manual of Mental Disorders. These results provide support for an alternative, empirically derived diagnostic structure.

Indexed as

Diagnostic and Statistical Manual of Mental DisordersAdultBinge-Eating DisorderFeeding and Eating DisordersFemaleHumansMaleMinnesotaModels, StatisticalOverweightVomitingYoung Adult

Identifiers

PMID21707126
PMCPMC8667201

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.