Evidence map›Paper›PMID 26646576›Full record

ArticleThe Psychiatric quarterly2016

Can Psychological, Social and Demographical Factors Predict Clinical Characteristics Symptomatology of Bipolar Affective Disorder and Schizophrenia?

Malgorzata Maciukiewicz, Joanna Pawlak, Pawel Kapelski, Magdalena Łabędzka, Maria Skibinska, Dorota Zaremba, Anna Leszczynska-Rodziewicz, Monika Dmitrzak-Weglarz, Joanna Hauser

Abstract read
In one paragraph

Article in The Psychiatric quarterly, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Malgorzata MaciukiewiczLaboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Rokietnicka St. 8, 60-806, Poznan, Poland.
Joanna PawlakLaboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Rokietnicka St. 8, 60-806, Poznan, Poland. joanna.pawlak@gmail.com.
Pawel KapelskiLaboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Rokietnicka St. 8, 60-806, Poznan, Poland.
Magdalena ŁabędzkaLaboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Rokietnicka St. 8, 60-806, Poznan, Poland.
Maria SkibinskaLaboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Rokietnicka St. 8, 60-806, Poznan, Poland.
Dorota ZarembaLaboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Rokietnicka St. 8, 60-806, Poznan, Poland.
Anna Leszczynska-RodziewiczLaboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Rokietnicka St. 8, 60-806, Poznan, Poland.
Monika Dmitrzak-WeglarzLaboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Rokietnicka St. 8, 60-806, Poznan, Poland.
Joanna HauserLaboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Rokietnicka St. 8, 60-806, Poznan, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia (SCH) is a complex, psychiatric disorder affecting 1 % of population. Its clinical phenotype is heterogeneous with delusions, hallucinations, depression, disorganized behaviour and negative symptoms. Bipolar affective disorder (BD) refers to periodic changes in mood and activity from depression to mania. It affects 0.5-1.5 % of population. Two types of disorder (type I and type II) are distinguished by severity of mania episodes. In our analysis, we aimed to check if clinical and demographical characteristics of the sample are predictors of symptom dimensions occurrence in BD and SCH cases. We included total sample of 443 bipolar and 439 schizophrenia patients. Diagnosis was based on DSM-IV criteria using Structured Clinical Interview for DSM-IV. We applied regression models to analyse associations between clinical and demographical traits from OPCRIT and symptom dimensions. We used previously computed dimensions of schizophrenia and bipolar affective disorder as quantitative traits for regression models. Male gender seemed protective factor for depression dimension in schizophrenia and bipolar disorder sample. Presence of definite psychosocial stressor prior disease seemed risk factor for depressive and suicidal domain in BD and SCH. OPCRIT items describing premorbid functioning seemed related with depression, positive and disorganised dimensions in schizophrenia and psychotic in BD. We proved clinical and demographical characteristics of the sample are predictors of symptom dimensions of schizophrenia and bipolar disorder. We also saw relation between clinical dimensions and course of disorder and impairment during disorder.

Indexed as

SchizophreniaSchizophrenic PsychologySuicidal IdeationAdolescentAdultAge of OnsetBipolar DisorderChildChild, PreschoolDepressionFemaleHumansMaleMiddle AgedPolandRegression AnalysisBipolar affective disorderDimensionsOPCRITSchizophrenia

Identifiers

PMID26646576
PMCPMC4945684

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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.