Evidence map›Paper›PMID 30079431›Full record

ReviewCurrent psychiatry reports2018

Network Analysis as an Alternative Approach to Conceptualizing Eating Disorders: Implications for Research and Treatment.

Cheri A Levinson, Irina A Vanzhula, Leigh C Brosof, Kelsie Forbush

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current psychiatry reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
6.3field-weighted citation impact, top 3% of its field
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, 2 syntheses or guidelines pooled it, 94 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Cheri A LevinsonDepartment of Psychological & Brain Sciences, University of Louisville, Life Sciences Building, Louisville, KY, 40292, USA. cheri.levinson@louisville.edu.
Irina A VanzhulaDepartment of Psychological & Brain Sciences, University of Louisville, Life Sciences Building, Louisville, KY, 40292, USA.
Leigh C BrosofDepartment of Psychological & Brain Sciences, University of Louisville, Life Sciences Building, Louisville, KY, 40292, USA.
Kelsie ForbushDepartment of Psychology, University of Kansas, Lawrence, USA.
University of Louisville · USUniversity of Kansas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewNetwork analysis (NA) is an emerging methodology that allows for the characterization of maintaining symptoms and pathways among symptoms of mental disorders. The current paper provides background on NA and discusses the relevance of the network approach for the conceptualization of eating disorders (ED). RECENT

findingsWe review the burgeoning literature conceptualizing ED from a network approach. Overall, these papers find that fear of weight gain and overvaluation of weight and shape are core symptoms in networks of ED pathology. We integrate literature on new advances in network methodology (e.g., within-person NA) and the clinical relevance of these approaches for the ED field (e.g., personalized ED treatment). We also provide several considerations (e.g., replicability, sample size, and node (item) selection) for researchers who are interested in using network science and recommend several emerging "best practices" for NA. Finally, we highlight novel applications of NA, specifically the ability to identify within-person maintaining symptoms, and the potential treatment implications for ED that network methods may hold. Overall, NA is a new methodology that holds significant promise for new treatment development in the ED field.

Indexed as

Behavioral ResearchConcept FormationBody WeightFearFeeding and Eating DisordersHumansAnorexia nervosaBulimia nervosaEating disordersFear of weight gainNetwork analysis

Identifiers

PMID30079431
OpenAlexW2885236574

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.