Evidence map›Paper›PMID 42282305›Full record

ArticleBioinformation2026

A prospective cross-sectional study on pharmacovigilance of antipsychotic drugs at a tertiary care teaching hospital.

Parth Jain, Shashi Marko, Lily Dubey, Pawan Gupta

Abstract read
In one paragraph

Article in Bioinformation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Parth JainDepartment of Pharmacology, Bundelkhand Medical College, Sagar, Madhya Pradesh, India.
Shashi MarkoDepartment of Pharmacology, Bundelkhand Medical College, Sagar, Madhya Pradesh, India.
Lily DubeyDepartment of Pharmacology, Bundelkhand Medical College, Sagar, Madhya Pradesh, India.
Pawan GuptaDepartment of Dermatology, Bundelkhand Medical College, Sagar, Madhya Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antipsychotic medications are associated with many adverse drug reactions (ADRs) which affect patient compliance, safety and outcomes, making pharmacovigilance important, that by pharmacovigilance is performed to gather data, make decisions and prevent ADRs of antipsychotic medications. Hence, this is a prospective cross-sectional observational study WHO-UMC scale and Naranjo scale was used to assess the causality of the adverse drug reactions with oral antipsychotic medications. Total 61 patients with adverse drug reactions were observed, 168 adverse drug reactions were observed because of 5 medications; according to WHO-UMC scale 52.45% adverse drug reactions were probable/ likely and according to Naranjo scale 52.45% adverse drug reactions were possible. Pharmacovigilance helps us assess adverse drug reactions, it guides our clinical decision making and drug selection, it gives us data which helps us better perform risk-benefit analysis of drug administration ultimately serving patient wellbeing.

Indexed as

Adverse drug reactions (ADRs)antipsychotic drugscausality assessmentNaranjo scalepreventabilityschumock-thornton scaleWHO-UMC scale

Identifiers

PMID42282305
PMCPMC13252352

What Socratic holds

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Registered trials

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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 Socratic graph.