Evidence map›Paper›PMID 28322694›Full record

ArticleEmerging infectious diseases2017

Plasmodium malariae Prevalence and csp Gene Diversity, Kenya, 2014 and 2015.

Eugenia Lo, Kristie Nguyen, Jennifer Nguyen, Elizabeth Hemming-Schroeder, Jiaobao Xu, Harrisone Etemesi, Andrew Githeko, Guiyun Yan

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 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

8 authors.

Eugenia Lo
Kristie Nguyen
Jennifer Nguyen
Elizabeth Hemming-Schroeder
Jiaobao Xu
Harrisone Etemesi
Andrew Githeko
Guiyun Yan

Funding

Vector Biology of Invasive Anopheles stephensi in Rural to Urban Landscapes in EthiopiaU19AI129326 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI Guiyun Yan · 2017 to 2026
$19.9M
Ecology of African Highland MalariaR01AI050243 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI YAN, GUIYUN · 2001 to 2018
$8.8M
Research Training in Mosquito Genomics and Bioinformat*D43TW001505 · FIC · UNIVERSITY OF CALIFORNIA-IRVINE · PI Guiyun Yan · 2000 to 2026
$6.0M
FIC NIH HHS D43 TW001505NIAID NIH HHS R01 AI050243NIAID NIH HHS U19 AI129326
6 · The paper itself

Abstract

In Africa, control programs that target primarily Plasmodium falciparum are inadequate for eliminating malaria. To learn more about prevalence and genetic variability of P. malariae in Africa, we examined blood samples from 663 asymptomatic and 245 symptomatic persons from western Kenya during June-August of 2014 and 2015. P. malariae accounted for 5.3% (35/663) of asymptomatic infections and 3.3% (8/245) of clinical cases. Among asymptomatic persons, 71% (32/45) of P. malariae infections detected by PCR were undetected by microscopy. The low sensitivity of microscopy probably results from the significantly lower parasitemia of P. malariae. Analyses of P. malariae circumsporozoite protein gene sequences revealed high genetic diversity among P. malariae in Africa, but no clear differentiation among geographic populations was observed. Our findings suggest that P. malariae should be included in the malaria elimination strategy in Africa and highlight the need for sensitive and field-applicable methods to identify P. malariae in malaria-endemic areas.

Indexed as

Genetic VariationAdolescentAnimalsCase-Control StudiesChildChild, PreschoolFemaleHumansKenyaMalariaMalePhylogenyPlasmodium malariaePrevalenceProtozoan ProteinsRabbitsProtozoan ProteinsAfricacircumsporozoite protein diversityco-infectionscspdiagnostic sensitivityKenyamalariamicroscopynested PCRparasite gene copy numberparasitesPlasmodium malariae

Identifiers

PMID28322694
PMCPMC5367407

What OpenQuestion holds

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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.