Evidence map›Paper›PMID 33776277›Full record

ArticleIndustrial psychiatry journal

Disability in clinically stable patients of schizophrenia.

Mahaprakash Sharma, Anil Nischal, Anuradha Nischal, Manu Agarwal, Bandna Gupta, Sujit Kumar Kar, Erika Pahuja

Abstract read
In one paragraph

Article in Industrial psychiatry journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 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

7 authors.

Mahaprakash SharmaPratapgarh District Hospital, Pratapgarh, Uttar Pradesh, India.
Anil NischalDepartment of Psychiatry, King George's Medical University, Lucknow, Uttar Pradesh, India.
Anuradha NischalDepartment of Pharmacology, King George's Medical University, Lucknow, Uttar Pradesh, India.
Manu AgarwalDepartment of Psychiatry, King George's Medical University, Lucknow, Uttar Pradesh, India.
Bandna GuptaDepartment of Psychiatry, King George's Medical University, Lucknow, Uttar Pradesh, India.
Sujit Kumar KarDepartment of Psychiatry, King George's Medical University, Lucknow, Uttar Pradesh, India.
Erika PahujaDepartment of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDisability associated with schizophrenia affects every aspect of life. In India, persons with schizophrenia are eligible for disability benefits. Only a handful of patients are aware and able to avail the benefits. We intended to assess disability in clinically stable patients of schizophrenia as even though they are stable but are disabled and may benefit from disability benefits and rehabilitation.

methodsSixty-two clinically stable patients of schizophrenia were assessed on the Mini-International Neuropsychiatric Interview, Positive and Negative Syndrome Scale (PANSS), and Schizophrenia Cognition Rating Scale. Disability was assessed on the Indian Disability Evaluation and Assessment Scale (IDEAS).

resultsNearly one-fourth of the "stable patients" had moderate-to-severe disability (22.6% - moderate and 1.6% - severe), i.e., certifiable disability as per IDEAS. Disability had a significant correlation with all three domains of PANSS as well as total PANSS score. The correlation was stronger with negative than with positive symptom scores. Disability also strongly correlated with cognitive impairment. "Work," "communication and understanding," and "interpersonal relationship" domains of IDEAS had a strong correlation with cognitive impairment.

conclusionNearly 25% of the stable patients had certifiable disability. The "work" domain of IDEAS was most affected. It demonstrates that the rehabilitation of this population may contribute to reducing disability.

Indexed as

Cognitioncognitive dysfunctiondisability evaluationdisabled personspsychiatric rehabilitationschizophrenia

Identifiers

PMID33776277
PMCPMC7989458

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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.