Bedside assessment of cognitive heterogenety with clock drawing performance among clinical subtypes of schizophrenia — preliminary study

INTRODUCTION: Cognitive deficit is the enduring, persistent, and core feature of schizophrenia associated with increased risk of psychosocial disability. The cognitive deficit is highly prevalent, and variable according to the type of schizophrenia and course of illness. It is often overlooked by clinicians because of the complexity of assessment. The clock drawing test (CDT) is a brief, simple, and widely used cognitive screening instrument. AIM: To compare the level of cognitive impairment among subtypes of schizophrenia using CDT. MATERIALS AND METHODS: The CDT performance of institutionalized patients with schizophrenia of three clinical subtypes, Paranoid (n = 45), undifferentiated (n = 45), and disorganized (n = 45) was compared with age and sex-matched controls (n=45). The severity of symptoms in each group was assessed using Free drawn CDT, Positive and Negative Symptoms Scale (PANSS), and a Brief Psychiatric Rating Scale (BPRS) at the time of admission. The χ2 test and One-way ANOVA test with Bonferroni multiple comparison test were used to compare these groups. Pearson correlation coefficients were calculated to determine the bi-variate relationship among continuous variables including PANSS score, BPRS score, CDT Score, and Mini-Mental Status Examination (MMSE) Score among various comparison groups. RESULTS: The patients in the disorganized group (3.06 ± 2.27) performed more poorly than the paranoid group (6.06 ± 1.86), undifferentiated (4.60 ± 2.71), and the comparison group (8.68 ± 1.22), p 0.004. The CDT performance was negatively correlated with the PANSS score (r = -0.47, p 0.001) and BPRS score (r = -0.47, p 0.001) among three subtypes. The MMSE was highly correlated with CDT score among the disorganized group (r = 0.65, p 0.001) than the paranoid group (r = 0.43, p 0.05). CONCLUSION: Our findings suggest that the CDT test can be used at the bedside to distinguish between disorganized and paranoid types of schizophrenia. The disparity in CDT performance may be due to the different involvement of neural correlates among schizophrenia subtypes. Furthermore, CDT performance may be useful to clinicians in routine clinical practice in selecting appropriate pharmacological and psychosocial interventions.

Authors

Institutions

Publication Details

Journal
I P Pavlov Russian Medical Biological Herald
Published
2025-04-16
DOI
https://doi.org/10.17816/pavlovj501723
Citations
1
Primary Topic
Schizophrenia research and treatment
Type
article
Field-Weighted Citation Impact
1.47
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bedside assessment of cognitive heterogenety with clock drawing performance among clinical subtypes of schizophrenia — preliminary study

Ramdas Ransing, Omityah Grigo, Gajanan Sh. Sakekar, Praveen Khairkar
1 citations
I P Pavlov Russian Medical Biological Herald
Schizophrenia research and treatment
1.47
article

Bedside assessment of cognitive heterogenety with clock drawing performance among clinical subtypes of schizophrenia — preliminary study

Ramdas Ransing, Omityah Grigo, Gajanan Sh. Sakekar, Praveen Khairkar
article en
1 citations

Abstract

INTRODUCTION: Cognitive deficit is the enduring, persistent, and core feature of schizophrenia associated with increased risk of psychosocial disability. The cognitive deficit is highly prevalent, and variable according to the type of schizophrenia and course of illness. It is often overlooked by clinicians because of the complexity of assessment. The clock drawing test (CDT) is a brief, simple, and widely used cognitive screening instrument. AIM: To compare the level of cognitive impairment among subtypes of schizophrenia using CDT. MATERIALS AND METHODS: The CDT performance of institutionalized patients with schizophrenia of three clinical subtypes, Paranoid (n = 45), undifferentiated (n = 45), and disorganized (n = 45) was compared with age and sex-matched controls (n=45). The severity of symptoms in each group was assessed using Free drawn CDT, Positive and Negative Symptoms Scale (PANSS), and a Brief Psychiatric Rating Scale (BPRS) at the time of admission. The χ2 test and One-way ANOVA test with Bonferroni multiple comparison test were used to compare these groups. Pearson correlation coefficients were calculated to determine the bi-variate relationship among continuous variables including PANSS score, BPRS score, CDT Score, and Mini-Mental Status Examination (MMSE) Score among various comparison groups. RESULTS: The patients in the disorganized group (3.06 ± 2.27) performed more poorly than the paranoid group (6.06 ± 1.86), undifferentiated (4.60 ± 2.71), and the comparison group (8.68 ± 1.22), p 0.004. The CDT performance was negatively correlated with the PANSS score (r = -0.47, p 0.001) and BPRS score (r = -0.47, p 0.001) among three subtypes. The MMSE was highly correlated with CDT score among the disorganized group (r = 0.65, p 0.001) than the paranoid group (r = 0.43, p 0.05). CONCLUSION: Our findings suggest that the CDT test can be used at the bedside to distinguish between disorganized and paranoid types of schizophrenia. The disparity in CDT performance may be due to the different involvement of neural correlates among schizophrenia subtypes. Furthermore, CDT performance may be useful to clinicians in routine clinical practice in selecting appropriate pharmacological and psychosocial interventions.

I P Pavlov Russian Medical Biological HeraldVol. 33(1)
Shaheed Suhrawardy Medical College (BD), Institute of Medical Sciences (IN), Mahatma Gandhi Institute of Medical Sciences (IN)
Openalex Percentile: Top 19%
Schizophrenia research and treatment
1.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.