Evidence map›Paper›PMID 34051822›Full record

ArticleMalaria journal2021

Determinants of the varied profiles of Plasmodium falciparum infections among infants living in Kintampo, Ghana.

Akua Kyerewaa Botwe, Felix Boakye Oppong, Stephaney Gyaase, Seth Owusu-Agyei, Muhammad Asghar, Kwaku Poku Asante, Anna Färnert, Faith Osier

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2021. 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
0.2field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 5 institutions in 4 countries.

Akua Kyerewaa BotweKintampo Health Research Centre, Ghana Health Service, Kintampo, Ghana. akua.agyeman-budu@kintampo-hrc.org.ORCID http://orcid.org/0000-0003-2304-392X
Felix Boakye OppongKintampo Health Research Centre, Ghana Health Service, Kintampo, Ghana.
Stephaney GyaaseKintampo Health Research Centre, Ghana Health Service, Kintampo, Ghana.
Seth Owusu-AgyeiKintampo Health Research Centre, Ghana Health Service, Kintampo, Ghana.
Muhammad AsgharDivision of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Kwaku Poku AsanteKintampo Health Research Centre, Ghana Health Service, Kintampo, Ghana.
Anna FärnertKintampo Health Research Centre, Ghana Health Service, Kintampo, Ghana.
Faith OsierKenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya.
Kintampo Health Research Centre · GHKarolinska Institutet · SEHeidelberg University · DEKarolinska University Hospital · SEUniversity of Health and Allied Sciences · GH

Funding

EPA EP-C-15-003European and Developing Countries Clinical Trials Partnership TMA-2015-SF1001KEMRI DEL-15-003
6 · The paper itself

Abstract

backgroundUnderstanding why some infants tolerate infections, remaining asymptomatic while others succumb to repeated symptomatic malaria is beneficial for studies of naturally acquired immunity and can guide control interventions. This study compared demographic, host and maternal factors associated with being either parasite negative or having asymptomatic infections versus developing symptomatic malaria in the first year of life.

methodsA birth cohort (n = 1264) was monitored longitudinally over two years for malaria infections in Kintampo, Ghana. Symptomatic and asymptomatic infections were detected actively through monthly home visits, complemented by passive case detection. Light microscopy was used to detect parasitaemia. Based on data from a minimum of eight monthly visits within the first year of life, infants were classified into one of four groups: "parasite negative", "only-asymptomatic", "only-symptomatic" or "alternating" i.e., sometimes symptomatic and other times asymptomatic. The host and maternal characteristics and demographic factors in relation to these four groups were compared.

resultsThe parasite negative group formed 36% of the cohort, whilst the only-symptomatic were 35%. The alternating group were 22% and the only-asymptomatic were 7% of the cohort. There were significant associations between residence, socio-economic status (SES), parity, IPTp doses, delivery place of infant and having or not having malaria parasites. Maternal factors such as early commencement and frequency of ante-natal care (ANC) were significantly higher in the parasite negative group compared to all others. ITN use in pregnancy increased the odds of infant having only asymptomatic infections ("protected against disease"). Placental malaria was more common in the groups of infants with symptomatic malaria. Urban residence was significantly higher in the parasite negative group, while birth in the malaria transmission season were significantly more common in the alternating and parasite negative groups. Risk factors for infants with symptomatic malaria included low SES, birth in private maternity homes, sickle cell normal variant, lower MUAC, reported intake of anti-malarials and increased morbidity before the first microscopic infection was detected.

conclusionStrengthening ANC by encouraging early and regular attendance, the use of IPTp, maternal bed nets and improving the nourishment of infants help reduce the frequency of symptomatic malaria over the first year of life.

Indexed as

AnimalsAsymptomatic InfectionsCohort StudiesFemaleGhanaHumansIncidenceInfantInfant, NewbornMalaria, FalciparumMalePlasmodium falciparumAsymptomaticDeterminants-of-malariaFalciparumInfantsInfectionsKintampo-GhanaMalariaPredictors-of-malariaRisk-of-malaria

Identifiers

PMID34051822
PMCPMC8164218
OpenAlexW3164233746

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.