Evidence map›Paper›PMID 23437368›Full record

ArticlePloS one2013

The ratio of monocytes to lymphocytes in peripheral blood correlates with increased susceptibility to clinical malaria in Kenyan children.

George M Warimwe, Linda M Murungi, Gathoni Kamuyu, George M Nyangweso, Juliana Wambua, Vivek Naranbhai, Helen A Fletcher, Adrian V S Hill, Philip Bejon, Faith H A Osier and 1 more

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

George M WarimweThe Jenner Institute, University of Oxford, Oxford, United Kingdom. george.warimwe@ndm.ox.ac.uk
Linda M Murungi
Gathoni Kamuyu
George M Nyangweso
Juliana Wambua
Vivek Naranbhai
Helen A Fletcher
Adrian V S Hill
Philip Bejon
Faith H A Osier
Kevin Marsh

Funding

Medical Research Council G1002624Wellcome Trust 090532Wellcome Trust 092654Wellcome Trust 092741/Z/10/Z
6 · The paper itself

Abstract

backgroundPlasmodium falciparum malaria remains a major cause of illness and death in sub-Saharan Africa. Young children bear the brunt of the disease and though older children and adults suffer relatively fewer clinical attacks, they remain susceptible to asymptomatic P. falciparum infection. A better understanding of the host factors associated with immunity to clinical malaria and the ability to sustain asymptomatic P. falciparum infection will aid the development of improved strategies for disease prevention. METHODS AND

findingsHere we investigate whether full differential blood counts can predict susceptibility to clinical malaria among Kenyan children sampled at five annual cross-sectional surveys. We find that the ratio of monocytes to lymphocytes, measured in peripheral blood at the time of survey, directly correlates with risk of clinical malaria during follow-up. This association is evident among children with asymptomatic P. falciparum infection at the time the cell counts are measured (Hazard ratio (HR)  =  2.7 (95% CI 1.42, 5.01, P  =  0.002) but not in those without detectable parasitaemia (HR  =  1.0 (95% CI 0.74, 1.42, P  =  0.9).

conclusionsWe propose that the monocyte to lymphocyte ratio, which is easily derived from routine full differential blood counts, reflects an individual's capacity to mount an effective immune response to P. falciparum infection.

Indexed as

Asymptomatic InfectionsBlood Cell CountChildChild, PreschoolCross-Sectional StudiesDisease SusceptibilityFemaleGenotypeHumansKenyaLymphocytesMalaria, FalciparumMaleMonocytesParasitemiaPlasmodium falciparum

Identifiers

PMID23437368
PMCPMC3577721

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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.