Evidence map›Paper›PMID 29692979›Full record

ArticleInternational journal of pharmaceutical investigation

An assessment of reported adverse drug reactions in a Tertiary Care Hospital in South India: A retrospective cross-sectional study.

Sandeep Kumar Gupta, K Deva Kumar

Open access · hybridAbstract read
In one paragraph

Article in International journal of pharmaceutical investigation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 36% of its field
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

4 citing papers in PubMed, 12 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Sandeep Kumar GuptaDepartment of Pharmacology, Heritage Institute of Medical Sciences, Varanasi, Uttar Pradesh, India.
K Deva KumarDepartment of Pharmacology, Dhanalakshmi Srinivasan Medical College and Hospital, Perambalur, Tamil Nadu, India.
Dhanalakshmi Srinivasan Group of Institutions · INInstitute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe primary objective of this study was to assess the causality of ADRs using World Health Organization-Uppsala Monitoring Centre (WHO-UMC), Naranjo and Liverpool ADR Causality Assessment Tool (LCAT). Other primary objective was to assess the agreement between the WHO-UMC criterion, Naranjo algorithm and LCAT. The secondary objective was to assess the reported adverse drug reactions in a tertiary care hospital in South India. MATERIALS AND

methodsThis was a cross-sectional retrospective study. All the ADRs which were reported by the Pharmacovigilance Unit between July 2016 and March 2017 were assessed. Causality assessment was performed by two well-trained independent pharmacologists by applying the three methods-WHO, Naranjo and LCAT. Concurrence between the two algorithms was compared using the Cohen's weighted kappa statistic.

resultsCausality assessment of adverse reactions according to Naranjo criteria shows that 81% cases were of probable type, 9.5% cases were possible and 9.5% cases were unlikely. Causality assessment of adverse reactions according to WHO-UMC criteria shows that 85.7% cases were of probable type, 4.8% cases were possible, 4.8% cases were unlikely and 4.8% cases were definite. Causality assessment of adverse reactions according to Liverpool criteria shows that 61.9% cases were of probable type, 4.8% cases were possible and 33.3% cases were definite. Cohen's kappa test shows that negative and poor concurrence was seen between WHO and Naranjo causality comparison (κ = -0.161). Positive but poor concurrence based on kappa values was seen between Liverpool and Naranjo's causality comparison (κ = 0.133). Negative and poor concurrence based on kappa values was seen between WHO and Liverpool causality comparison (κ = -0.161).

conclusionThe most frequent causality category observed by the WHO-UMC criteria, Naranjo as well as the Liverpool algorithm was "Probable." Full concurrence was not found between any of two scales of causality assessment.

Indexed as

Adverse drug reactioncausality assessmentkappaNaranjo's adverse drug reaction probability scalepharmacovigilanceWorld Health Organization-Uppsala Monitoring Centre causality assessment system

Identifiers

PMID29692979
PMCPMC5903024
OpenAlexW2795422737

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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 OpenQuestion graph.