Evidence map›Paper›PMID 37701510›Full record

ArticleBioinformation2022

Severity in schizophrenia patients receiving atypical antipsychotic medications.

Syed Meraj Alam Fatmi J, Rakesh Koul, Prakash Suruchi, Sheenam Ayub

Abstract read
In one paragraph

Article in Bioinformation, 2022. 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. 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

4 authors.

Syed Meraj Alam Fatmi JDepartment of Pharmacology, KD Medical College, Hospital & Research Center, Mathura, India.
Rakesh KoulDepartment of Pharmacology, KD Medical College, Hospital & Research Center, Mathura, India.
Prakash SuruchiDepartment of Pharmacology, KD Medical College, Hospital & Research Center, Mathura, India.
Sheenam AyubDepartment of Pediatric and Preventive Dentistry, KD Dental College & Hospital, Mathura.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atypical antipsychotic drugs are nowadays the mainstay of treatment of schizophrenia due to their lesser extrapyramidal symptoms (EPS) as adverse effects. However, these drugs have different profiles of adverse drug reactions (ADRs). Here, the objective of this study was to analyze the probability, occurrences, and more significant involvement of various risk factors. A prospective observational study was carried out on a patient with schizophrenia who has prescribed atypical antipsychotic drugs for their treatment. The probability of the ADR was analyzed by using the Naranjo causality assessment scale. While Glasgow antipsychotic Side effect Scale (GASS) was used to estimate the severity of side effects. Statistical software for social science (SPSS) ver 25; was used for different descriptive statistics and chi-square analysis. A total of 140 patients were included in the study of which the majority (58.57 %) was male. However, atypical antipsychotic drugs were primarily prescribed to the patient as mono therapy (81.43 %). Interestingly, COVID-19 infections were reported as positive in 39.29 % of total patients. Probability assessment of ADRs revealed that most (55 %) were "Probable". Subsequently, the GASS score was evaluated for severity, the majority (55.71 %) were reported as "Mild". The statistically significant association between gender and severity of side effects & duration of illness and severity of side effects were found (P>0.5).The Present study aids in knowing the risk factors and improving the management practices of ADR, thereby improving the guidelines in terms of safe clinical approaches for psychiatric patients.

Indexed as

Adverse drug reactions (ADR)Atypical antipsychotic drugsGASS scoreProbabilityRisk factor

Identifiers

PMID37701510
PMCPMC10492911

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