Evidence map›Paper›PMID 37376882›Full record

ReviewJournal of applied biomedicine2023

Causality assessment of adverse drug reaction: A narrative review to find the most exhaustive and easy-to-use tool in post-authorization settings.

Pallavi Pradhan, Maude Lavallee, Samuel Akinola, Fernanda Raphael Escobar Gimenes, Anick Berard, Julie Methot, Marie-Eve Piche, Jennifer Midiani Gonella, Lyne Cloutier, Jacinthe Leclerc

Open access · goldAbstract readReview
PubMed Publisher
In one paragraph

Review in Journal of applied biomedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Methods for causality assessment of idiosyncratic drug-induced liver injury.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Tools for Etiologic Diagnosis of Drug-Induced Allergic Conditions.International journal of molecular sciences · 2023
    Review
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

10 authors at 5 institutions in 4 countries.

Pallavi PradhanUniversity of Quebec at Trois-Rivieres, Department of Anatomy, Trois-Rivieres, Canada.
Maude LavalleeUniversity Institute of Cardiology and Pulmonology of Quebec - Laval University, Centre of Research, Laval, Canada.
Samuel AkinolaUniversity of Pecs, Faculty of Health Sciences, Department of Nursing, Pecs, Hungary.
Fernanda Raphael Escobar GimenesUniversity of Sao Paolo, Nursing School of Ribeirao Preto, Sao Paolo, Brazil.
Anick BerardUniversity Hospital Center, Research Center of Sainte-Justine, Montreal, Canada.
Julie MethotUniversity Institute of Cardiology and Pulmonology of Quebec - Laval University, Centre of Research, Laval, Canada.
Marie-Eve PicheUniversity Institute of Cardiology and Pulmonology of Quebec - Laval University, Centre of Research, Laval, Canada.
Jennifer Midiani GonellaUniversity of Sao Paolo, Nursing School of Ribeirao Preto, Sao Paolo, Brazil.
Lyne CloutierUniversity of Quebec at Trois-Rivieres, Department of Nursing, Trois-Rivieres, Canada.
Jacinthe LeclercUniversity Institute of Cardiology and Pulmonology of Quebec - Laval University, Centre of Research, Laval, Canada.
Université Laval · CAAOL (United States) · USUniversité du Québec à Trois-Rivières · CAUniversité de Montréal · CAUniversity of Pecs · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe core motive of pharmacovigilance is the detection and prevention of adverse drug reactions (ADRs), to improve the risk-benefit balance of the drug. However, the causality assessment of ADRs remains a major challenge among clinicians, and none of the available tools of causality assessment used for assessing ADRs have been universally accepted.

objectiveTo provide an up-to-date overview of the different causality assessment tools.

methodsWe conducted electronic searches in MEDLINE, EMBASE, and the Cochrane database. The eligibility of each tool was screened by three reviewers. Each eligible tool was then scrutinized for its domains (the reported specific set of questions/areas used for calculating the likelihood of cause-and-effect relation of an ADR) to discover the most comprehensive tool. Finally, we subjectively assessed the tool's ease-of-use in a Canadian, Indian, Hungarian, and Brazilian clinical context.

resultsTwenty-one eligible causality assessment tools were retrieved. Naranjo's tool and De Boer's tool appeared the most comprehensive among all the tools, covering 10 domains each. Regarding "ease-of-use" in a clinical setting, we judged that many tools were hard to implement in a clinical context because of their complexity and/or lengthiness. Naranjo's tool, Jones's tool, Danan and Benichou's tool, and Hsu and Stoll's tool appeared to be the easiest to implement into various clinical contexts.

conclusionAmong the many tools identified, 1981 Naranjo's scale remains the most comprehensive and easy to use for performing causality assessment of ADRs. Upcoming analysis should compare the performance of each ADR tool in clinical settings.

Indexed as

Drug-Related Side Effects and Adverse ReactionsPharmacovigilanceCanadaHumansProbabilityRisk AssessmentAdverse drug reactionsAdverse eventsCausality assessmentHealthcare qualityPharmacovigilance

Identifiers

PMID37376882
OpenAlexW4381547700

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.