Evidence map›Paper›PMID 36440538›Full record

ReviewEuropean psychiatry : the journal of the Association of European Psychiatrists2022

MICEmi: A method to identify cognitive endophenotypes of mental illnesses.

Patricia Correa-Ghisays, Joan Vicent Sánchez-Ortí, Vicent Balanzá-Martínez, Inmaculada Fuentes-Durá, Anabel Martinez-Aran, Lara Ruiz-Bolo, Paulina Correa-Estrada, Juan Carlos Ruiz-Ruiz, Gabriel Selva-Vera, Joan Vila-Francés and 4 more

Abstract readReview
In one paragraph

Review in European psychiatry : the journal of the Association of European Psychiatrists, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

14 authors.

Patricia Correa-GhisaysCenter for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.ORCID 0000-0002-1752-7349
Joan Vicent Sánchez-OrtíDepartment of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.ORCID 0000-0002-8209-6688
Vicent Balanzá-MartínezCenter for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.
Inmaculada Fuentes-DuráCenter for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.ORCID 0000-0002-9731-7850
Anabel Martinez-AranCenter for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.ORCID 0000-0002-0623-6263
Lara Ruiz-BoloDepartment of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.ORCID 0000-0003-1846-9053
Paulina Correa-EstradaFaculty of Psychology, EAFIT University, Medellín, Colombia.
Juan Carlos Ruiz-RuizDepartment of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.ORCID 0000-0002-6952-9717
Gabriel Selva-VeraCenter for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.
Joan Vila-FrancésIntelligent Data Analysis Laboratory (IDAL), University of Valencia, Spain.ORCID 0000-0001-8293-8235
Diego Macias Saint-GeronsCenter for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.ORCID 0000-0002-2572-2160
Constanza San-MartínCenter for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.ORCID 0000-0003-0347-5442
Rosa Ayesa-ArriolaDepartment of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain.ORCID 0000-0003-0570-5352
Rafael Tabarés-SeisdedosCenter for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.ORCID 0000-0002-1089-2204

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCharacterizing neurocognitive endophenotypes of mental illnesses (MIs) could be useful for identifying at-risk individuals, increasing early diagnosis, improving disease subtyping, and proposing therapeutic strategies to reduce the negative effects of the symptoms, in addition to serving as a scientific basis to unravel the physiopathology of the disease. However, a standardized algorithm to determine cognitive endophenotypes has not yet been developed. The main objective of this study was to present a method for the identification of endophenotypes in MI research.

methodsFor this purpose, a 14-expert working group used a scoping review methodology and designed a method that includes a scoring template with five criteria and indicators, a strategy for their verification, and a decision tree.

conclusionsThis work is ongoing since it is necessary to obtain external validation of the applicability of the method in future research.

Indexed as

EndophenotypesMental DisordersCognitionHumansMental illnessmethodology designneurocognitive endophenotype

Identifiers

PMID36440538
PMCPMC9807453

What OpenQuestion holds

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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.