Evidence map›Paper›PMID 39103954›Full record

ArticleTropical medicine and health2024

Non-random distribution of Plasmodium Species infections and associated clinical features in children in the lake Victoria region, Kenya, 2012-2018.

Protus Omondi, Brian Musyoka, Takatsugu Okai, James Kongere, Wataru Kagaya, Chim W Chan, Mtakai Ngara, Bernard N Kanoi, Yasutoshi Kido, Jesse Gitaka and 1 more

Abstract read
In one paragraph

Article in Tropical medicine and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

11 authors.

Protus OmondiDepartment of Virology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Brian MusyokaDepartment of Virology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Takatsugu OkaiDepartment of Virology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
James KongereDepartment of Parasitology/ Osaka International Research Center for Infectious Diseases, Osaka Metropolitan University, Osaka, Japan.
Wataru KagayaDepartment of Eco-Epidemiology, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.
Chim W ChanDepartment of Parasitology/ Osaka International Research Center for Infectious Diseases, Osaka Metropolitan University, Osaka, Japan.
Mtakai NgaraDepartment of Clinical Medicine, Mount Kenya University, Thika, Kenya.
Bernard N KanoiDepartment of Clinical Medicine, Mount Kenya University, Thika, Kenya.
Yasutoshi KidoDepartment of Virology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Jesse Gitaka *Department of Clinical Medicine, Mount Kenya University, Thika, Kenya.
Akira Kaneko *Department of Parasitology/ Osaka International Research Center for Infectious Diseases, Osaka Metropolitan University, Osaka, Japan. akira.kaneko@ki.se.ORCID http://orcid.org/0000-0003-2411-3352

Funding

JICA Research Institute 20JM0110020H0002
6 · The paper itself

Abstract

backgroundWhile Plasmodium falciparum (Pf) stands out as the most lethal malaria parasite species in humans, the impact of other species should not be dismissed. Moreover, there is a notable lack of understanding of mixed-species infections and their clinical implications.

methodsWe conducted eight school-based cross-sectional malariometric surveys in the Lake Victoria region of western Kenya between January-February 2012 and September-October 2018. In each survey, a minimum of 100 children aged 3 to 15 years were randomly chosen from a school in Ungoye village on the mainland and as well as from each school selected in every catchment area on Mfangano island. Plasmodium infection was determined by microscopy and nested polymerase chain reaction (PCR). The multiple-kind lottery (MKL) model calculated the expected distribution of Plasmodium infections in the population and compared it to observed values using a chi-squared test (χ

resultsThe Plasmodium prevalence was 25.9% (2521/9724) by microscopy and 51.1% (4969/9724) by PCR. Among all infections detected by PCR, Pf, P. malariae (Pm), and P. ovale (Po) mono-infections were 58.6%, 3.1%, and 1.8%, respectively. Pf/Pm, Pf/Po, Pm/Po, and Pf/Pm/Po co-infections were 23.5%, 4.3%, 0.1%, and 8.6%, respectively. MKL modelling revealed non-random distributions, with frequencies of Pf/Pm and Pf/Pm/Po co-infections being significantly higher than expected (χ

conclusionThis study sheds light on the potential interaction between Pf and Pm and/or Po. Given the clinical significance of mixed-species infections, improved diagnostics, and case management of Pm and Po are urgently needed.

Indexed as

KenyaMixed Plasmodium infectionPlasmodium falciparumPlasmodium malariaePlasmodium ovale

Identifiers

PMID39103954
PMCPMC11299388

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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.