Evidence map›Paper›PMID 40861245›Full record

SynthesisDepression and anxiety2025

Long-Term Effect of Cognitive Behavioral Therapy in Managing Subclinical Depression: A Systematic Review and Meta-Analysis.

Raffy C F Chan, Ming Chen, Jacqueline L M Chan, David H K Shum, Yuan Cao

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Depression and anxiety, 2025. 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
–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

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

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

5 authors.

Raffy C F ChanDepartment of Rehabilitation Sciences, Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China.ORCID 0009-0002-3331-6434
Ming ChenDepartment of Rehabilitation Sciences, Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China.ORCID 0009-0002-4381-113X
Jacqueline L M ChanDepartment of Rehabilitation Sciences, Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China.ORCID 0009-0008-5027-425X
David H K ShumDepartment of Rehabilitation Sciences, Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China.ORCID 0000-0002-4810-9262
Yuan CaoDepartment of Social Work and Social Administration, University of Hong Kong, Pokfulam, Hong Kong SAR, China.ORCID 0000-0002-5635-9253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent research has emphasized the continuum of depression, highlighting the significance of early intervention for subclinical depression. However, previous studies often focused on specific populations or lacked comparisons across participants and intervention characteristics in the effectiveness of cognitive behavioral therapy (CBT). This systematic review and meta-analysis (CRD42024498284) aimed to address these gaps by examining the effectiveness of CBT in managing subclinical depression and its potential for preventing the transition to major depression. A comprehensive search across seven databases from inception to March 2025, identified 23 randomized controlled trials (RCTs) involving 5877 participants. Meta-regression, sensitivity analysis, and funnel plots were utilized to assess heterogeneity, publication bias, and study quality. CBT significantly improved subclinical depressive symptoms (at postassessment:

Indexed as

Cognitive Behavioral TherapyDepressionDepressive DisorderHumansMajor Depressive DisorderRandomized Controlled Trials as Topic

Identifiers

PMID40861245
PMCPMC12373477

What OpenQuestion holds

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LicenceCC BY
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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.