Evidence map›Paper›PMID 24347988›Full record

ReviewJournal of pharmacology & pharmacotherapeutics2013

Clinical and economic burden of adverse drug reactions.

Janet Sultana, Paola Cutroneo, Gianluca Trifirò

Abstract readReview
In one paragraph

Review in Journal of pharmacology & pharmacotherapeutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 241 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
241citing papers in PubMed, 8 pooled it
–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

241 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  10. Positive social modeling attenuates nocebo side effects.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
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  18. New Personalized Medicine Model for Medication Management.Journal of personalized medicine · 2026
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181 more citing papers are in PubMed but not listed here.

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

3 authors.

Janet SultanaDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Paola CutroneoDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Gianluca TrifiròDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adverse drug reactions (ADRs) are unwanted drug effects that have considerable economic as well as clinical costs as they often lead to hospital admission, prolongation of hospital stay and emergency department visits. Randomized controlled trials (RCTs) are the main premarketing methods used to detect and quantify ADRs but these have several limitations, such as limited study sample size and limited heterogeneity due to the exclusion of the frailest patients. In addition, ADRs due to inappropriate medication use occur often in the real world of clinical practice but not in RCTs. Postmarketing drug safety monitoring through pharmacovigilance activities, including mining of spontaneous reporting and carrying out observational prospective cohort or retrospective database studies, allow longer follow-up periods of patients with a much wider range of characteristics, providing valuable means for ADR detection, quantification and where possible reduction, reducing healthcare costs in the process. Overall, pharmacovigilance is aimed at identifying drug safety signals as early as possible, thus minimizing potential clinical and economic consequences of ADRs. The goal of this review is to explore the epidemiology and the costs of ADRs in routine care.

Indexed as

Adverse drug reactionscostspharmacovigilancerandomized controlled trials

Identifiers

PMID24347988
PMCPMC3853675

What OpenQuestion holds

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Registered trials

None linked

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.