Evidence map›Paper›PMID 35589153›Full record

ArticleBMJ global health2022

Impact of seasonal malaria chemoprevention on prevalence of malaria infection in malaria indicator surveys in Burkina Faso and Nigeria.

Monica Anna de Cola, Benoît Sawadogo, Sol Richardson, Taiwo Ibinaiye, Adama Traoré, Cheick Saïd Compaoré, Chibuzo Oguoma, Olusola Oresanya, Gauthier Tougri, Christian Rassi and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
8.6field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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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

13 authors at 4 institutions in 3 countries.

Monica Anna de ColaDepartment of Infectious Disease Epidemiology, Imperial College, London, UK m.de-cola20@imperial.ac.uk.ORCID 0000-0001-9444-8460
Benoît SawadogoMalaria Consortium, Ouagadougou, Burkina Faso.
Sol RichardsonVanke School of Public Health, Tsinghua University, Beijing, China.
Taiwo IbinaiyeMalaria Consortium, Abuja, Nigeria.
Adama TraoréMalaria Consortium, Ougadougou, Burkina Faso.
Cheick Saïd CompaoréMalaria Consortium, Ouagadougou, Burkina Faso.
Chibuzo OguomaMalaria Consortium, Abuja, Nigeria.
Olusola OresanyaMalaria Consortium, Abuja, Nigeria.
Gauthier TougriMinistry of Health, Ouagadougou, Burkina Faso.
Christian RassiMalaria Consortium, London, UK.
Arantxa Roca-FeltrerMalaria Consortium, London, UK.
Patrick WalkerDepartment of Infectious Disease Epidemiology, Imperial College, London, UK.
Lucy C OkellDepartment of Infectious Disease Epidemiology, Imperial College, London, UK.ORCID 0000-0001-7202-6873
Malaria Consortium · GBMalariaGEN · BFImperial College London · GBVanke (China) · CN

Funding

Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

backgroundIn 2012, the WHO issued a policy recommendation for the use of seasonal malaria chemoprevention (SMC) to children 3-59 months in areas of highly seasonal malaria transmission. Clinical trials have found SMC to prevent around 75% of clinical malaria. Impact under routine programmatic conditions has been assessed during research studies but there is a need to identify sustainable methods to monitor impact using routinely collected data.

methodsData from Demographic Health Surveys were merged with rainfall, geographical and programme data in Burkina Faso (2010, 2014, 2017) and Nigeria (2010, 2015, 2018) to assess impact of SMC. We conducted mixed-effects logistic regression to predict presence of malaria infection in children aged 6-59 months (rapid diagnostic test (RDT) and microscopy, separately).

resultsWe found strong evidence that SMC administration decreases odds of malaria measured by RDT during SMC programmes, after controlling for seasonal factors, age, sex, net use and other variables (Burkina Faso OR 0.28, 95% CI 0.21 to 0.37, p<0.001; Nigeria OR 0.40, 95% CI 0.30 to 0.55, p<0.001). The odds of malaria were lower up to 2 months post-SMC in Burkina Faso (1-month post-SMC: OR 0.29, 95% CI 0.12 to 0.72, p=0.01; 2 months post-SMC: OR: 0.33, 95% CI 0.17 to 0.64, p<0.001). The odds of malaria were lower up to 1 month post-SMC in Nigeria but was not statistically significant (1-month post-SMC 0.49, 95% CI 0.23 to 1.05, p=0.07). A similar but weaker effect was seen for microscopy (Burkina Faso OR 0.38, 95% CI 0.29 to 0.52, p<0.001; Nigeria OR 0.53, 95% CI 0.38 to 0.76, p<0.001).

conclusionsImpact of SMC can be detected in reduced prevalence of malaria from data collected through household surveys if conducted during SMC administration or within 2 months afterwards. Such evidence could contribute to broader evaluation of impact of SMC programmes.

Indexed as

AntimalarialsMalariaBurkina FasoChemopreventionChildHumansNigeriaPrevalenceSeasonsAntimalarialsChild healthEpidemiologyMalariaPublic Health

Identifiers

PMID35589153
PMCPMC9121431
OpenAlexW4280649203

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.