Evidence map›Paper›PMID 30265042›Full record

ArticleJournal of consulting and clinical psychology2018

Does centrality in a cross-sectional network suggest intervention targets for social anxiety disorder?

Thomas L Rodebaugh, Natasha A Tonge, Marilyn L Piccirillo, Eiko Fried, Arielle Horenstein, Amanda S Morrison, Philippe Goldin, James J Gross, Michelle H Lim, Katya C Fernandez and 5 more

Abstract read
In one paragraph

Article in Journal of consulting and clinical psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing 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

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

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  20. What are the key targets to improve quality of life among MSM living with HIV on antiretroviral therapy? A network analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article

35 more citing papers are in PubMed but not listed here.

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

15 authors.

Thomas L RodebaughDepartment of Psychological and Brain Sciences, Washington University in St. Louis.
Natasha A TongeDepartment of Psychological and Brain Sciences, Washington University in St. Louis.
Marilyn L PiccirilloDepartment of Psychological and Brain Sciences, Washington University in St. Louis.
Eiko FriedPsychological Methods Group, University of Amsterdam.
Arielle HorensteinDepartment of Psychology, Temple University.
Amanda S MorrisonDepartment of Psychology, Stanford University.
Philippe GoldinBetty Irene Moore School of Nursing, University of California, Davis.
James J GrossDepartment of Psychology, Stanford University.
Michelle H LimDepartment of Psychological and Brain Sciences, Washington University in St. Louis.
Katya C FernandezDepartment of Psychological and Brain Sciences, Washington University in St. Louis.
Carlos BlancoAnxiety Disorders Clinic, New York State Psychiatric Institute, Columbia University.
Franklin R SchneierAnxiety Disorders Clinic, New York State Psychiatric Institute, Columbia University.
Ryan BogdanDepartment of Psychological and Brain Sciences, Washington University in St. Louis.
Renee J ThompsonDepartment of Psychological and Brain Sciences, Washington University in St. Louis.
Richard G HeimbergDepartment of Psychology, Temple University.

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational Sciences (UL1)UL1RR024992 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$45.4M
fMRI of Emotion Regulation During RCT of CBT vs. MBSR for Social Anxiety DisorderR01MH092416 · NIMH · STANFORD UNIVERSITY · PI GROSS, JAMES J · 2011 to 2015
$3.0M
fMRI of Emotional Reactivity, Cognitive Regulation, and CBT for Social PhobiaR01MH076074 · NIMH · STANFORD UNIVERSITY · PI GROSS, JAMES J · 2006 to 2010
$2.0M
Sensorimotor Dynamics of Parent-Child Interactions Build Word Learning SkillsR01HD074601 · NICHD · TRUSTEES OF INDIANA UNIVERSITY · PI YU, CHEN · 2013 to 2017
$1.6M
CBT Augmentation of Paroxetine for Social AnxietyR01MH064481 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI HEIMBERG, RICHARD G · 2003 to 2006
$1.2M
Bridging Efficacy and Effectiveness in Drug Abuse TreatmentK02DA023200 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BLANCO, CARLOS · 2008 to 2012
$618k
Neural Mechanisms Underlying MBSR in Socially Phobic IndividualsR21AT003644 · NCCIH · STANFORD UNIVERSITY · PI GROSS, JAMES J · 2007 to 2009
$614k
BEHAVIORAL ECONOMIC ASSESSMENT OF INTERPERSONAL IMPAIRMENT IN GENERALIZED SADR21MH090308 · NIMH · WASHINGTON UNIVERSITY · PI RODEBAUGH, THOMAS L · 2010 to 2011
$416k
Longitudinal Risk Factors For Depression and Development of Individual Risk ModelsF31MH115641 · NIMH · WASHINGTON UNIVERSITY · PI PICCIRILLO, MARILYN · 2017 to 2018
$74k
ERCGlaxoSmithKline PharmaceuticalsMcDonnell Center for Systems NeurosciencceNational Center for Complementary and Alternative MedicineNCATS NIH HHS UL1 TR002345NCCIH NIH HHS R21 AT003644NCRR NIH HHS UL1 RR024992NICHD NIH HHS R01 HD074601NIDA NIH HHS K02 DA023200NIH HHSNIMH NIH HHS F31 MH115641NIMH NIH HHS R01 MH064481NIMH NIH HHS R01 MH076074NIMH NIH HHS R01 MH092416NIMH NIH HHS R21 MH090308
6 · The paper itself

Abstract

objectiveNetwork analysis allows us to identify the most interconnected (i.e., central) symptoms, and multiple authors have suggested that these symptoms might be important treatment targets. This is because change in central symptoms (relative to others) should have greater impact on change in all other symptoms. It has been argued that networks derived from cross-sectional data may help identify such important symptoms. We tested this hypothesis in social anxiety disorder.

methodWe first estimated a state-of-the-art regularized partial correlation network based on participants with social anxiety disorder (n = 910) to determine which symptoms were more central. Next, we tested whether change in these central symptoms were indeed more related to overall symptom change in a separate dataset of participants with social anxiety disorder who underwent a variety of treatments (n = 244). We also tested whether relatively superficial item properties (infrequency of endorsement and variance of items) might account for any effects shown for central symptoms.

resultsCentrality indices successfully predicted how strongly changes in items correlated with change in the remainder of the items. Findings were limited to the measure used in the network and did not generalize to three other measures related to social anxiety severity. In contrast, infrequency of endorsement showed associations across all measures.

conclusionsThe transfer of recently published results from cross-sectional network analyses to treatment data is unlikely to be straightforward. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Indexed as

Models, StatisticalAdultCross-Sectional StudiesFemaleHumansMalePhobia, Social

Identifiers

PMID30265042
PMCPMC6166439

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Registered trials

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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.