Evidence map›Paper›PMID 38521133›Full record

Trial reportJournal of affective disorders2024

Predicting response to a smartphone-based cognitive-behavioral therapy for body dysmorphic disorder.

Jennifer L Greenberg, Hilary Weingarden, Susanne S Hoeppner, Rebecca M Berger-Gutierrez, Dalton Klare, Ivar Snorrason, Omar Costilla-Reyes, Morgan Talbot, Katharine E Daniel, Rachel C Vanderkruik and 3 more

Open access · greenAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of affective disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. 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

13 authors at 4 institutions in 1 country.

Jennifer L GreenbergMassachusetts General Hospital and Harvard Medical School, 185 Cambridge Street, Boston, MA, USA. Electronic address: jlgreenberg@mgh.harvard.edu.
Hilary WeingardenMassachusetts General Hospital and Harvard Medical School, 185 Cambridge Street, Boston, MA, USA.
Susanne S HoeppnerMassachusetts General Hospital and Harvard Medical School, 185 Cambridge Street, Boston, MA, USA.
Rebecca M Berger-GutierrezMassachusetts General Hospital and Harvard Medical School, 185 Cambridge Street, Boston, MA, USA.
Dalton KlareMassachusetts General Hospital and Harvard Medical School, 185 Cambridge Street, Boston, MA, USA.
Ivar SnorrasonMassachusetts General Hospital and Harvard Medical School, 185 Cambridge Street, Boston, MA, USA.
Omar Costilla-ReyesMassachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, USA.
Morgan TalbotMassachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, USA; Boston Children's Hospital and Harvard Medical School, 300 Longwood Avenue, Boston, MA, USA.
Katharine E DanielMassachusetts General Hospital and Harvard Medical School, 185 Cambridge Street, Boston, MA, USA.
Rachel C VanderkruikMassachusetts General Hospital and Harvard Medical School, 185 Cambridge Street, Boston, MA, USA.
Armando Solar-LezamaMassachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, USA.
Oliver HarrisonKoa Health, 55 Baker Street, London, UK.
Sabine WilhelmMassachusetts General Hospital and Harvard Medical School, 185 Cambridge Street, Boston, MA, USA.
Harvard University · USMassachusetts General Hospital · USMassachusetts Institute of Technology · USCambridge Hospital · US

Funding

Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
Smartphone-based digital phenotyping to detect high-risk affect states in body dysmorphic disorderK23MH119372 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI WEINGARDEN, HILARY · 2019 to 2024
$922k
NIGMS NIH HHS T32 GM144273NIMH NIH HHS K23 MH119372Wellcome Trust
6 · The paper itself

Abstract

backgroundBody dysmorphic disorder (BDD) is a severe, chronic disorder if untreated. Smartphone cognitive behavioral therapy (CBT) for BDD is efficacious and can reduce key treatment barriers (e.g., lack of clinicians, cost, stigma). While promising, little is known about who is more or less likely to benefit from this approach.

methodsThis is a secondary data analysis of a randomized, waitlist-controlled trial of smartphone CBT for BDD. Participants (N = 80) were recruited nationally and randomized to receive a 12-week, coach-guided CBT for BDD app, either immediately or after a 12-week waitlist. The main outcome for this analysis was BDD severity (BDD-YBOCS) over time (baseline, week 6, week 12) during the active app use phase in each randomized group (n = 74). Secondary outcomes included treatment response (≥30 % reduction in BDD-YBOCS) and remission (total BDD-YBOCS ≤16) at end-of-treatment.

resultsImmediate (vs. delayed) CBT predicted better outcomes (symptom improvement), as did gender identity (symptom improvement), higher baseline treatment credibility and expectancy (response, remission), lower baseline BDD severity (remission), and sexual minority status (vs. heterosexual; response, remission). LIMITATIONS: Limitations include the relatively small sample, drop-out rate of 22 %, and limited gender and racial-ethnic diversity.

conclusionsThese results highlight a potential advantage of smartphone CBT in historically marginalized populations, and the importance of efforts to hasten treatment access, bolster confidence in the treatment at treatment onset, and develop stratified care models to optimize treatment allocation and efficacy.

Indexed as

Body Dysmorphic DisordersCognitive Behavioral TherapyFemaleGender IdentityHumansMaleSmartphoneTreatment OutcomeAppBody dysmorphic disorderCognitive behavioral therapyDigital mental healthPredictors

Identifiers

PMID38521133
PMCPMC11044861
OpenAlexW4393049073

What OpenQuestion holds

Textmetadata
LicenceTDM
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.