Evidence map›Paper›PMID 42865979›Full record

SynthesisFrontiers in psychiatry2026

Intensive cognitive behavioral therapy for obsessive-compulsive disorder: a meta-analysis of randomized controlled trials.

Jianli Zhu, Chunxiao Zhang, Xinpeng Xu, Dongsheng Lu, Weigang Pan, Xiaohong Li

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Jianli ZhuDepartment of Psychology, Yulin Veterans' Hospital, Yulin, Guangxi, China.
Chunxiao ZhangDepartment of Psychiatry, Chengdu Zongnan Hospital, Chengdu, Sichuan, China.
Xinpeng XuPeking University Huilongguan Clinical Medical School, Huilongguan Hospital, Capital Medical University, Beijing, China.
Dongsheng LuDepartment of Psychiatry VII, Changping Hospital of Integrated Traditional Chinese and Western Medicine Hospital, Beijing, China.
Weigang PanPeking University Huilongguan Clinical Medical School, Huilongguan Hospital, Capital Medical University, Beijing, China.
Xiaohong LiPeking University Huilongguan Clinical Medical School, Huilongguan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intensive cognitive behavioral therapy (CBT) delivers more or longer sessions over a shorter time than standard CBT. This review aimed to examine the effects of intensive CBT in comparison to non-active conditions and other active treatments for obsessive-compulsive disorder (OCD). Method: We analyzed standardized mean difference (SMD) at post-treatment and follow-up for OCD symptoms, depression, anxiety, and family accommodation (FA). Moderator analyses and meta-regression were conducted to investigate factors associated with OCD symptom reduction. Results: Fourteen randomized controlled trials ( Discussion: Intensive CBT appears superior to non-active controls, while its advantage over active treatments remains uncertain and the certainty of the evidence is low to very low. The substantial heterogeneity and potential publication bias require cautious interpretation. Future high-quality RCTs with longer follow-up are needed. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022365015.

Indexed as

cognitive behavioral therapyintensive treatmentmeta-analysisobsessive-compulsive disorderrandomized controlled trial

Identifiers

PMID42865979
PMCPMC13655579

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.