Evidence map›Paper›PMID 36726181›Full record

Trial reportMalaria journal2023

Prevalence and predictors of adverse events following exposure to long-lasting insecticidal nets used for malaria prevention: a community based cross-sectional study in the Democratic Republic of the Congo.

Gillon Ilombe, Thérèse Mpiempie, Gauthier Mesia, Junior R Matangila, Aimée M Lulebo, Vivi Maketa, Baby Mabanzila, Nicole M Muela, Flory T Muanda, Sylvie Linsuke and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Malaria journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

12 authors.

Gillon IlombeUnit of Entomology, Department of Parasitology, National Institute of Biomedical Research, Kinshasa, Democratic Republic of the Congo. gillonilombe@yahoo.fr.
Thérèse MpiempieUnit of Clinical Pharmacology and Pharmacovigilance, Department of Base Science, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Gauthier MesiaUnit of Clinical Pharmacology and Pharmacovigilance, Department of Base Science, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Junior R MatangilaDepartment of Tropical Medicine, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Aimée M LuleboFaculty of Medicine, Public Health School, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Vivi MaketaDepartment of Tropical Medicine, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Baby MabanzilaDepartment of Tropical Medicine, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Nicole M MuelaExpanded on Inoculation Logistic Section, Ministry of Public Health Kinshasa, Kinshasa, Democratic Republic of the Congo.
Flory T MuandaUnit of Clinical Pharmacology and Pharmacovigilance, Department of Base Science, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Sylvie LinsukeFaculty of Medicine, Global Health Institute, Antwerp University, Antwerp, Belgium.
Jean-Pierre van GeertruydenFaculty of Medicine, Global Health Institute, Antwerp University, Antwerp, Belgium.
Pascal LutumbaDepartment of Tropical Medicine, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria morbidity and mortality increase in the Democratic Republic of the Congo (DRC) may be the consequence of the low utilization rate of long-lasting insecticidal nets (LLINs) resulting from poor compliance due to adverse events (AEs). This study aimed at determining the prevalence and predictors of AEs following the mass distribution of LLINs in the Kisantu Health Zone (KHZ), a high malaria-endemic region in the DRC.

methodsA community-based cross-sectional study embedded was conducted within a randomized controlled trial (RCT) after the mass distribution of LLINs in 30 villages located in DRC KHZ. A three-stage sampling method was used without replacement to select 1790 children. Data was collected on adverse events (AEs) using a reporting form and information on demographics, nutritional status, and house characteristics. This was done using a structured questionnaire administered to household heads. Logistic regression models were used to identify predictors of AEs following the mass distribution of LLINs.

resultIn a total of 1790 children enrolled, 17.8% (95% CI 16.1-19.7) experienced AEs. The most common AEs were respiratory-related (61%). Around 60% of AEs occurred within 24 h of use, and 51% were resolved without treatment. Sleeping under deltamethrin LLINs (Adjusted OR, 95% CI 5.5 [3.8-8.0]) and zinc roofing (Adjusted OR, 95% CI 1.98 [1.1-3.57]) were associated with the risk of reporting an AE following the mass distribution of LLINs.

conclusionApproximately 1 out of 5 children had an AE within 24 h following LLIN use. These adverse events were often respiratory-related. LLINs and roofing types were associated with a higher risk of reporting AEs. However, further research using a robust study design is needed to confirm these findings. Future studies should design and implement interventions aiming to reduce AEs and improve compliance with LLINs.

Indexed as

InsecticidesInsecticide-Treated BednetsMalariaChildCross-Sectional StudiesDemocratic Republic of the CongoHumansMosquito ControlPrevalenceInsecticides

Identifiers

PMID36726181
PMCPMC9893672

What OpenQuestion holds

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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.