Evidence map›Paper›PMID 26908725›Full record

ArticleThe Journal of infectious diseases2016

Community-wide Prevalence of Malaria Parasitemia in HIV-Infected and Uninfected Populations in a High-Transmission Setting in Uganda.

Shereen Katrak, Nathan Day, Emmanuel Ssemmondo, Dalsone Kwarisiima, Alemayehu Midekisa, Bryan Greenhouse, Moses Kamya, Diane Havlir, Grant Dorsey

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01864603 (Sustainable East Africa Research in Community Health), which is not on this map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 15% 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.

NCT01864603 nacompletednot on this map

Sustainable East Africa Research in Community Health

TypeinterventionalSponsorUniversity of California, San FranciscoRan2013 to 2021Enrolled150,395ConditionsHIV, Tuberculosis, Hypertension, DiabetesArmsUniversal ART in a streamlined care model, Annual Community Health Campaigns, Targeted PrEP and Targeted testing interventions, Baseline community-based HIV and multi-disease testing
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 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

9 authors at 4 institutions in 2 countries.

Shereen KatrakDepartment of Medicine.
Nathan DayVanderbilt University, Nashville, Tennessee.
Emmanuel SsemmondoInfectious Diseases Research Collaboration.
Dalsone KwarisiimaMakerere University Joint AIDS Program.
Alemayehu MidekisaMalaria Elimination Initiative, Global Health Group, University of California-San Francisco.
Bryan GreenhouseDepartment of Medicine.
Moses KamyaSchool of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Diane HavlirDepartment of Medicine.
Grant DorseyDepartment of Medicine.
Makerere University · UGInfectious Diseases Research Collaboration · UGUniversity of California, San Francisco · USVanderbilt University · US

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Monica Gandhi · 1988 to 2026
$93.6M
Reducing Failure-to-Initiate ART: Streamlined ART Start Strategy (START)U01AI099959 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAVLIR, DIANE V · 2012 to 2016
$39.7M
San Francisco Vaccine and Prevention UnitUM1AI069496 · NIAID · PUBLIC HEALTH FOUNDATION ENTERPRISES · PI Susan Buchbinder, Diane V Havlir · 2012 to 2026
$30.5M
BIOLOGY OF INFECTIOUS DISEASES TRAINING PROGRAMT32AI007641 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY · 2000 to 2026
$6.9M
Therapeutic Strategies for HIV DiseaseK24AI051982 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAVLIR, DIANE V · 2002 to 2012
$1.3M
NIAID NIH HHS K24 AI051982NIAID NIH HHS P30 AI027763NIAID NIH HHS T32 AI007641NIAID NIH HHS U01 AI099959NIAID NIH HHS UM1 AI069496
6 · The paper itself

Abstract

backgroundMalaria control strategies depend on identifying individuals with parasitemia, who may be asymptomatic but retain the ability to transmit disease. Population-level survey data on parasitemia are limited and traditionally exclude adults and human immunodeficiency virus (HIV)-infected individuals.

methodsWe performed a cross-sectional survey of residents aged 18 months to 94 years in Nankoma, Uganda. Blood specimens were collected using the dried blood spot technique from 9629 residents (87.6%), and samples from a subset of 4131 were tested for malaria parasites, using loop-mediated isothermal amplification. Population-level prevalence was estimated using a weighted proportion, and predictors of parasitemia were identified using a multivariate Poisson regression model.

resultsThe community prevalence of parasitemia was 83.8% (95% confidence interval [CI], 82.9%-84.6%). Parasite prevalence was highest among children aged 5-14 years (94.7%) and lowest among adults (61.9%). In analysis that controlled for age, HIV-infected individuals with an undetectable viral load had a lower risk of parasitemia, compared with HIV-uninfected individuals (adjusted relative risk, 0.16; 95% CI, .10-.27; P < .001).

conclusionsIn a rural Ugandan community, 2 years after distribution of long-lasting insecticide-treated bed nets, the prevalence of malaria parasitemia was high across all ages, peaking in school-aged children. Persons with well-controlled HIV infection had a lower risk of parasitemia, presumably reflecting access to HIV care.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolCross-Sectional StudiesFemaleHIV-1HIV InfectionsHumansInfantInsecticide-Treated BednetsMalariaMaleMiddle AgedHIVLAMPmalariaparasitemia

Identifiers

PMID26908725
PMCPMC4878723
OpenAlexW2274992096

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.