Evidence map›Paper›PMID 37212967›Full record

Observational studyInternational journal of clinical pharmacy2023

Causality assessment of adverse drug reactions in neonates: a comparative study between Naranjo's algorithm and Du's tool.

Ramon Weyler Duarte Leopoldino, Lucas Vinicius Silva de Oliveira, Flávia Evelyn Medeiros Fernandes, Haline Tereza Matias de Lima Costa, Letícia Martins Pereira Vale, Antonio Gouveia Oliveira, Rand Randall Martins

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in International journal of clinical pharmacy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Adverse Drug Reactions in Neonates: How to Detect and Address Signals in the Noise.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2025
    Article
  3. Article
  4. Observational
  5. Article
  6. Article
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

7 authors at 3 institutions in 1 country.

Ramon Weyler Duarte LeopoldinoGraduate Program of Pharmaceutical Science, Health Science Center, Faculdade de Farmácia, Centro de Ciências da Saúde, Universidade Federal Do Rio Grande Do Norte UFRN, Av. General Gustavo Cordeiro de Farias, Petrópolis, Natal, RN, 59012-570, Brazil.
Lucas Vinicius Silva de OliveiraPharmacy Department, Health Science Center, Federal University of Rio Grande Do Norte, Natal, Brazil.
Flávia Evelyn Medeiros FernandesSchool Maternity Januário Cicco (MEJC/EBSERH), Health Science Center, Federal University of Rio Grande Do Norte, Natal, Brazil.
Haline Tereza Matias de Lima CostaMunicipal Health Department of the City of Natal, Natal, RN, Brazil.
Letícia Martins Pereira ValeChildren's Hospital Varela Santiago, Natal, RN, Brazil.
Antonio Gouveia OliveiraGraduate Program of Pharmaceutical Science, Health Science Center, Faculdade de Farmácia, Centro de Ciências da Saúde, Universidade Federal Do Rio Grande Do Norte UFRN, Av. General Gustavo Cordeiro de Farias, Petrópolis, Natal, RN, 59012-570, Brazil.
Rand Randall MartinsGraduate Program of Pharmaceutical Science, Health Science Center, Faculdade de Farmácia, Centro de Ciências da Saúde, Universidade Federal Do Rio Grande Do Norte UFRN, Av. General Gustavo Cordeiro de Farias, Petrópolis, Natal, RN, 59012-570, Brazil. randrandall@gmail.com.ORCID http://orcid.org/0000-0001-9668-0482
Universidade Federal do Rio Grande · BRPrefeitura Municipal do Natal · BRUniversidade Federal do Rio Grande do Norte · BR

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001
6 · The paper itself

Abstract

backgroundAlgorithms for causality assessment of adverse drug reactions (ADRs) in a neonatal intensive care unit (NICU) are important in the management of adverse events, however, it is inconclusive which tool best suits pharmacovigilance in neonates.

aimTo compare the performance of the algorithms of Du and Naranjo in determining causality in cases of ADRs in neonates in a NICU.

methodThis observational and prospective study was conducted in a NICU of a Brazilian maternity school between January 2019 and December 2020. Independently, three clinical pharmacists used the algorithms of Naranjo and Du in 79 cases of ADRs in 57 neonates. The algorithms were evaluated for inter-rater and inter-tool agreement using Cohen's kappa coefficient (k).

resultsThe Du algorithm showed greater ability to identify definite ADRs (≈ 60%), but had low reproducibility (overall k = 0.108; 95% CI 0.064-0.149). In contrast, the Naranjo algorithm showed a lower proportion of definite ADRs (< 4%), but had good reproducibility (overall k = 0.402; 95% CI 0.379-0.429). The tools showed no significant correlation regarding ADR causality classification (overall k = - 0.031; 95% CI - 0.049 to 0.065).

conclusionAlthough the Du algorithm has a lower reproducibility compared to the Naranjo, this tool showed good sensitivity for classifying ADRs as definite, proving to be a more suitable tool for neonatal clinical routine.

Indexed as

Drug-Related Side Effects and Adverse ReactionsAdverse Drug Reaction Reporting SystemsAlgorithmsFemaleHumansInfant, NewbornPharmacovigilancePregnancyProspective StudiesReproducibility of ResultsAdverse drug reactionsIntensive careNeonatalNeonatesPharmacovigilance

Identifiers

PMID37212967
OpenAlexW4377221297

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.