Evidence map›Paper›PMID 40128308›Full record

ArticleScientific reports2025

Data harmonization for the analysis of personalized treatment of psychosis with metacognitive training.

Caroline König, Pedro Copado, Maria Lamarca, Wafaa Guendouz, Rabea Fischer, Merle Schlechte, Vanessa Acuña, Fabrice Berna, Łucasz Gawęda, Alfredo Vellido and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Caroline König *Soft Computing Research Group (SOCO) at Intelligent Data Science and Artificial Intelligence (IDEAI-UPC) Research Centre, Universitat Politècnica de Catalunya (UPC Barcelona Tech), Jordi Girona 1-3, 08034, Barcelona, Spain. caroline.leonore.konig@upc.edu.
Pedro Copado *Soft Computing Research Group (SOCO) at Intelligent Data Science and Artificial Intelligence (IDEAI-UPC) Research Centre, Universitat Politècnica de Catalunya (UPC Barcelona Tech), Jordi Girona 1-3, 08034, Barcelona, Spain.
Maria Lamarca *MERITT Group, Institut de Recerca Sant Joan de Déu, Parc Sanitari Sant Joan de Déu, 08830, Sant Boi de Llobregat, Barcelona, Spain.
Wafaa Guendouz *Soft Computing Research Group (SOCO) at Intelligent Data Science and Artificial Intelligence (IDEAI-UPC) Research Centre, Universitat Politècnica de Catalunya (UPC Barcelona Tech), Jordi Girona 1-3, 08034, Barcelona, Spain.
Rabea FischerDepartment of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany.
Merle SchlechteDepartment of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany.
Vanessa AcuñaDepartamento de Psiquiatría, Escuela de Medicina, Facultad de Medicina, Universidad de Valparaíso, Valparaíso, Chile.
Fabrice BernaInserm, University Hospital of Strasbourg, University of Strasbourg, 67091, Strasbourg, France.
Łucasz GawędaExperimental Psychopathology Lab, Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland.
Alfredo VellidoSoft Computing Research Group (SOCO) at Intelligent Data Science and Artificial Intelligence (IDEAI-UPC) Research Centre, Universitat Politècnica de Catalunya (UPC Barcelona Tech), Jordi Girona 1-3, 08034, Barcelona, Spain.
Àngela NebotSoft Computing Research Group (SOCO) at Intelligent Data Science and Artificial Intelligence (IDEAI-UPC) Research Centre, Universitat Politècnica de Catalunya (UPC Barcelona Tech), Jordi Girona 1-3, 08034, Barcelona, Spain.
Cecilio AnguloKnowledge Engineerig Research Group (GREC) at Intelligent Data Science and Artificial Intelligence (IDEAI-UPC) Research Centre, Universitat Politècnica de Catalunya (UPC Barcelona Tech), Jordi Girona 1-3, 08034, Barcelona, Spain.
Susana OchoaMERITT Group, Institut de Recerca Sant Joan de Déu, Parc Sanitari Sant Joan de Déu, 08830, Sant Boi de Llobregat, Barcelona, Spain.

Funding

Instituto de Salud Carlos III ERAPerMed 2022-292
6 · The paper itself

Abstract

Personalized medicine is a data-driven approach that aims to adapt patients' diagnostics and therapies to their characteristics and needs. The availability of patients' data is therefore paramount for the personalization of treatments on the basis of predictive models, and even more so in machine learning-based analyses. Data harmonization is an essential part of the process of data curation. This study presents research on data harmonization for the development of a harmonized retrospective database of patients in Metacognitive Training (MCT) treatment for psychotic disorders. This work is part of the European ERAPERMED 2022-292 research project entitled 'Towards a Personalized Medicine Approach to Psychological Treatment of Psychosis' (PERMEPSY), which focuses on the development of a personalized medicine platform for the treatment of psychosis. The study integrates information from 22 studies into a common format to enable a data analytical approach for personalized treatment. The harmonized database comprises information about 698 patients who underwent MCT and includes a wide range of sociodemographic variables and psychological indicators used to assess a patient's mental health state. The characteristics of patients participating in the study are analyzed using descriptive statistics and exploratory data analysis.

Indexed as

Cognitive Behavioral TherapyMetacognitionPrecision MedicinePsychotic DisordersAdultDatabases, FactualFemaleHumansMachine LearningMaleMiddle AgedRetrospective StudiesYoung AdultData harmonizationExploratory data analysisMachine learningMental healthMetacognitive treatmentPersonalized medicine

Identifiers

PMID40128308
PMCPMC11933379

What OpenQuestion holds

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Registered trials

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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.