Evidence map›Paper›PMID 31742685›Full record

Trial reportJournal of clinical psychology2020

Modular cognitive-behavioral therapy for affective symptoms in young individuals at ultra-high risk of first episode of psychosis: Randomized controlled trial.

Andrea Pozza, Davide Dèttore

Open access · greenAbstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Journal of clinical psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
1.5field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Lack of robust meta-analytic evidence to favour cognitive behavioural therapy for prevention of psychosis.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2021
    Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Andrea PozzaDepartment of Health Sciences, University of Florence, Florence, Italy.ORCID 0000-0002-6634-6106
Davide DèttoreDepartment of Health Sciences, University of Florence, Florence, Italy.ORCID 0000-0002-2086-6712
University of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIndividuals at ultra-high risk of psychosis often present concurrent affective symptoms (depression/anxiety). This study investigated whether modular cognitive-behavioral therapy (CBT) targeting both ultra-high risk and affective symptoms (a) reduced/delayed risk of a first psychotic episode at posttreatment and 14-month follow-up compared with a supportive intervention, (b) was more effective than control condition in producing remission on depression/anxiety.

methodsFifty-eight ultrahigh risk individuals were randomly assigned to CBT or control condition. CBT consisted of 30 sessions, including CBT for psychotic experiences and depression/anxiety.

resultsIn the CBT group, the cumulative number of participants who developed a first psychotic episode (n = 3, 10.34%) at follow-up was lower than in the control group (n = 8, 27.60%; logrank χ

conclusionCBT can prevent psychosis risk and produce better outcomes on depression/anxiety than supportive intervention.

Indexed as

AdolescentAdultAnxietyCognitive Behavioral TherapyDepressionFemaleHumansMalePsychotic DisordersRemission InductionTreatment OutcomeYoung Adultanxietycognitive-behavioral therapydepressionrandomized controlled trialultrahigh risk of psychosis

Identifiers

PMID31742685
OpenAlexW2991379087

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.