Evidence map›Paper›PMID 22770364›Full record

ArticleBMC psychiatry2012

A debate on current eating disorder diagnoses in light of neurobiological findings: is it time for a spectrum model?

Samantha Jane Brooks, Mathias Rask-Andersen, Christian Benedict, Helgi Birgir Schiöth

Abstract read
In one paragraph

Article in BMC psychiatry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 3 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

58 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  15. Psychopathological Profile Associated with Food Addiction Symptoms in Adolescents with Eating Disorders.International journal of environmental research and public health · 2023
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  20. Food addiction in anorexia nervosa: Implications for the understanding of crossover diagnosis.European eating disorders review : the journal of the Eating Disorders Association · 2022
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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

4 authors.

Samantha Jane BrooksDepartment of Neuroscience, University of Uppsala, Box 593, Uppsala, Sweden. samantha.brooks@neuro.uu.se
Mathias Rask-Andersen
Christian Benedict
Helgi Birgir Schiöth

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSixty percent of eating disorders do not meet criteria for anorexia- or bulimia nervosa, as defined by the Diagnostic and Statistical Manual version 4 (DSM-IV). Instead they are diagnosed as 'eating disorders not otherwise specified' (EDNOS). Discrepancies between criteria and clinical reality currently hampering eating disorder diagnoses in the DSM-IV will be addressed by the forthcoming DSM-V. However, future diagnoses for eating disorders will rely on current advances in the fields of neuroimaging and genetics for classification of symptoms that will ultimately improve treatment. DISCUSSION: Here we debate the classification issues, and discuss how brain imaging and genetic discoveries might be interwoven into a model of eating disorders to provide better classification and treatment. The debate concerns: a) current issues in the classification of eating disorders in the DSM-IV, b) changes proposed for DSM-V, c) neuroimaging eating disorder research and d) genetic eating disorder research. SUMMARY: We outline a novel evidence-based 'impulse control' spectrum model of eating disorders. A model of eating disorders is proposed that will aid future diagnosis of symptoms, coinciding with contemporary suggestions by clinicians and the proposed changes due to be published in the DSM-V.

Indexed as

Models, PsychologicalBrainDiagnostic and Statistical Manual of Mental DisordersFeeding and Eating DisordersHumans

Identifiers

PMID22770364
PMCPMC3475111

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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.