Evidence map›Paper›PMID 31749655›Full record

ReviewDialogues in clinical neuroscience2019

Metacognitive and cognitive-behavioral interventions for psychosis: new developments
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Steffen Moritz, Jan Philipp Klein, Paul H Lysaker, Stephanie Mehl

2 registry-linked trialsOpen access · diamondAbstract readReview
In one paragraph

Review in Dialogues in clinical neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
6.1field-weighted citation impact, top 3% 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.

NCT05130853 nacompletednot on this mapstarted 2021, after this paper: background citation

Social Cognition Individualized Activities Lab (SoCIAL) for the Training of Social Cognition and Narrative Enhancement in Patients With Schizophrenia: A Randomized Controlled Study to Assess Efficacy and Generalization to Real-life Functioning

TypeinterventionalSponsorUniversity of Campania Luigi VanvitelliRan2021 to 2022Enrolled48ConditionsSchizophrenia, Schizo Affective DisorderArmsSocial Skills and Neurocognitive Individualized Training (SoCIAL), Treatmment-as-usual
NCT06127004 narecruitingnot on this mapstarted 2024, after this paper: background citation

Metacognitive Training for Negative Symptoms (MCT Minus)

TypeinterventionalSponsorSormland County Council, SwedenRan2024 to 2032Enrolled90ConditionsNegative Symptoms in SchizophreniaArmsMetacognitive Training for Negative Symptoms (MCT), Supportive Counselling
3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 90 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Review
  6. Article
  7. Article
  8. Does Reflective Thinking Improve the Ability to Plan in Light and Heavy Drinkers? A Clinical-Experimental Model of Metacognition.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Development of the Delusional Interpretation Scale and examination of related variables.PCN reports : psychiatry and clinical neurosciences · 2023
    Article
  18. Article
  19. Metacognitive training for psychosis (MCT): past, present, and future.European archives of psychiatry and clinical neuroscience · 2023
    Review
  20. 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

4 authors at 4 institutions in 2 countries.

Steffen MoritzDepartment of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jan Philipp KleinDepartment of Psychiatry and Psychotherapy, Lübeck University, Lübeck, Germany.
Paul H LysakerDepartment of Psychiatry, Roudebush VA Medical Center, Indiana University School of Medicine, Indianapolis, IN, US.
Stephanie MehlDepartment of Psychiatry and Psychotherapy, Philipps-University Marburg, Germany; 
Department of Health and Social Work, Frankfurt University of Applied Science Frankfurt, Germany.
Indiana University School of MedicinePhilipps University of Marburg · DEUniversity Medical Center Hamburg-Eppendorf · DEUniversity of Lübeck · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review describes four cognitive approaches for the treatment of schizophrenia: cognitive-behavioral therapy for psychosis (CBTp), metacognitive therapy, metacognitive training, and metacognitive reflection insight therapy (MERIT). A central reference point of our review is a seminal paper by James Flavell, who introduced the term metacognition ("cognition about cognition"). In a way, every psychotherapeutic approach adopts a metacognitive perspective when therapists reflect with clients about their thoughts. Yet, the four approaches map onto different components of metacognition. CBTp conveys some "metacognitive knowledge" (eg, thoughts are not facts) but is mainly concerned with individual beliefs. Metacognitive therapy focuses on unhelpful metacognitive beliefs about thinking styles (eg, thought suppression). Metacognitive training brings distorted cognitive biases to the awareness of patients; a central goal is the reduction of overconfidence. MERIT focuses on larger senses of identity and highlights metacognitive knowledge about oneself and other persons. For CBTp and metacognitive training, meta-analytic evidence supports their efficacy; single studies speak for the effectiveness of MERIT and metacognitive therapy.
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Indexed as

Cognitive Behavioral TherapyHumansMetacognitionPsychotic Disorderscognitive-behavioral therapymetacognitionmetacognitive therapymetacognitive trainingpsychosisschizophrenia

Identifiers

PMID31749655
PMCPMC6829173
OpenAlexW2990591564

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.