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Causality assessment of adverse drug reaction: A narrative review to find the most exhaustive and easy-to-use tool in post-authorization settings
P. Pradhan, M. Lavallee, S. Akinola, FR. Escobar Gimenes, A. Berard, J. Methot, ME. Piche, JM. Gonella, L. Cloutier, J. Leclerc
Jazyk angličtina Země Česko
Typ dokumentu časopisecké články, přehledy, práce podpořená grantem
NLK
Directory of Open Access Journals
od 2019
ROAD: Directory of Open Access Scholarly Resources
od 2002
PubMed
37376882
DOI
10.32725/jab.2023.010
Knihovny.cz E-zdroje
- MeSH
- farmakovigilance * MeSH
- hodnocení rizik MeSH
- lidé MeSH
- nežádoucí účinky léčiv * diagnóza epidemiologie prevence a kontrola MeSH
- pravděpodobnost MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
- Geografické názvy
- Kanada MeSH
BACKGROUND: The 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. OBJECTIVE: To provide an up-to-date overview of the different causality assessment tools. METHODS: We 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. RESULTS: Twenty-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. CONCLUSION: Among 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.
Laval University Faculty of Medicine Laval Canada
Laval University Faculty of Pharmacy Laval Canada
University Hospital Center Research Center of Sainte Justine Montreal Canada
University of Montreal Faculty of Pharmacy Montreal Canada
University of Pecs Faculty of Health Sciences Department of Nursing Pecs Hungary
University of Quebec at Trois Rivieres Department of Anatomy Trois Rivieres Canada
University of Quebec at Trois Rivieres Department of Nursing Trois Rivieres Canada
University of Sao Paolo Nursing School of Ribeirao Preto Sao Paolo Brazil
Citace poskytuje Crossref.org
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- $a BACKGROUND: The 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. OBJECTIVE: To provide an up-to-date overview of the different causality assessment tools. METHODS: We 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. RESULTS: Twenty-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. CONCLUSION: Among 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.
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