Evidence map›Paper›PMID 26707865›Full record

ArticleSchizophrenia bulletin2016

Familiality of Psychotic Disorders: A Polynosologic Study in Multiplex Families.

Victor Peralta, Ximena Goldberg, María Ribeiro, Ana M Sanchez-Torres, Lourdes Fañanás, Manuel J Cuesta

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2016. 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.

  1. A neuropsychological study on Leonhard's nosological system.European archives of psychiatry and clinical neuroscience · 2022
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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

6 authors.

Victor PeraltaDepartment of Psychiatry, Complejo Hospitalario of Navarra, Pamplona, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNa), Pamplona, Spain; victor.peralta.martin@cfnavarra.es.
Ximena GoldbergUnitat d' Antropologia, Department of Biologia Animal, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
María RibeiroDepartment of Psychiatry, Complejo Hospitalario of Navarra, Pamplona, Spain;
Ana M Sanchez-TorresDepartment of Psychiatry, Complejo Hospitalario of Navarra, Pamplona, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNa), Pamplona, Spain;
Lourdes FañanásUnitat d' Antropologia, Department of Biologia Animal, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
Manuel J CuestaDepartment of Psychiatry, Complejo Hospitalario of Navarra, Pamplona, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNa), Pamplona, Spain;

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPhenotype definition of psychotic disorders has a strong impact on the degree of familial aggregation. Nevertheless, the extent to which distinct classification systems affect familial aggregation (ie, familiality) remains an open question. This study was aimed at examining the familiality associated with 4 nosologic systems of psychotic disorders (DSM-IV, ICD-10, Leonhard's classification and a data-driven approach) and their constituting diagnoses in a sample of multiplex families with psychotic disorders.

methodsParticipants were probands with a psychotic disorder, their parents and at least one first-degree relative with a psychotic disorder. The sample was made of 441 families comprising 2703 individuals, of whom 1094 were affected and 1709 unaffected.

resultsThe Leonhard classification system had the highest familiality (h (2) = 0.64), followed by the empirical (h (2) = 0.55), DSM-IV (h (2) = 0.50), and ICD-10 (h (2) = 0.48). Familiality estimates for individual diagnoses varied considerably (h (2) = 0.25-0.79). Regarding schizophrenia diagnoses, Leonhard's systematic schizophrenia (h (2) = 0.78) had the highest familiality, followed by latent class core schizophrenia (h (2) = 0.74), DSM-IV schizophrenia (h (2) = 0.48), and ICD-10 schizophrenia (h (2) = 0.41). Psychotic mood disorders showed substantial familiality across nosologic systems (h (2) = 0.60-0.77). Domains of psychopathology other than reality-distortion symptoms showed moderate familiality irrespective of diagnosis (h (2) = 0.22-0.52) with the deficit syndrome of schizophrenia showing the highest familiality (h (2) = 0.66).

conclusionsWhile affective psychoses showed relatively high familiality estimates across classification schemes, those of nonaffective psychoses varied markedly as a function of the diagnostic scheme with a narrow schizophrenia phenotype maximizing its familial aggregation. Leonhard's classification of psychotic disorders may be better suited for molecular genetic studies than the official diagnostic systems.

Indexed as

Nuclear FamilyAdolescentAdultAffective Disorders, PsychoticAgedFemaleHumansMaleMiddle AgedPedigreePhenotypePsychotic DisordersSchizophreniaYoung Adultaffective psychosesclassificationfamilial coaggregationheritabilitynosologyschizophrenia

Identifiers

PMID26707865
PMCPMC4903050

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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.