Evidence map›Paper›PMID 28764717›Full record

ArticleMalaria journal2017

A longitudinal cohort study of malaria exposure and changing serostatus in a malaria endemic area of rural Tanzania.

Ryan A Simmons, Leonard Mboera, Marie Lynn Miranda, Alison Morris, Gillian Stresman, Elizabeth L Turner, Randall Kramer, Chris Drakeley, Wendy P O'Meara

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 21 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 3 countries.

Ryan A SimmonsDepartment of Biostatistics and Bioinformatics, Duke University Medical Center, 2721, Durham, NC, 27701, USA. ryan.simmons@duke.edu.ORCID 0000-0003-0855-4334
Leonard MboeraNational Institute for Medical Research, 3 Barack Obama Drive, P.O. Box 9653, 11101, Dar es Salaam, United Republic of Tanzania.
Marie Lynn MirandaDepartment of Statistics, Rice University, Houston, TX, USA.
Alison MorrisDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Gillian StresmanDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Elizabeth L TurnerDepartment of Biostatistics and Bioinformatics, Duke University Medical Center, 2721, Durham, NC, 27701, USA.
Randall KramerDuke Global Health Institute, Duke University, 310 Trent Drive, Durham, NC, 27701, USA.
Chris DrakeleyDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Wendy P O'MearaDuke Global Health Institute, Duke University, 310 Trent Drive, Durham, NC, 27701, USA.
Duke University · USUniversity of London · GBNational Institute for Medical Research · TZRice University · US

Funding

Duke CTSA (Composite)UL1TR001117 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, LI, JENNIFER S · 2013 to 2017
$41.3M
Serology as a measure of exposure and duration of infection in malaria trialsR03AI099667 · NIAID · DUKE UNIVERSITY · PI PRUDHOMMEOMEARA, WENDY · 2012 to 2013
$126k
NCATS NIH HHS UL1 TR001117NIAID NIH HHS R03 AI099667
6 · The paper itself

Abstract

backgroundMeasurements of anti-malarial antibodies are increasingly used as a proxy of transmission intensity. Most serological surveys are based on the use of cross-sectional data that, when age-stratified, approximates historical patterns of transmission within a population. Comparatively few studies leverage longitudinal data to explicitly relate individual infection events with subsequent antibody responses.

methodsThe occurrence of seroconversion and seroreversion events for two Plasmodium falciparum asexual stage antigens (MSP-1 and AMA-1) was examined using three annual measurements of 691 individuals from a cohort of individuals in a malaria-endemic area of rural east-central Tanzania. Mixed-effect logistic regression models were employed to determine factors associated with changes in serostatus over time.

resultsWhile the expected population-level relationship between seroprevalence and disease incidence was observed, on an individual level the relationship between individual infections and the antibody response was complex. MSP-1 antibody responses were more dynamic in response to the occurrence and resolution of infection events than AMA-1, while the latter was more correlated with consecutive infections. The MSP-1 antibody response to an observed infection seemed to decay faster over time than the corresponding AMA-1 response. Surprisingly, there was no evidence of an age effect on the occurrence of a conversion or reversion event.

conclusionsWhile the population-level results concur with previously published sero-epidemiological surveys, the individual-level results highlight the more complex relationship between detected infections and antibody dynamics than can be analysed using cross-sectional data. The longitudinal analysis of serological data may provide a powerful tool for teasing apart the complex relationship between infection events and the corresponding immune response, thereby improving the ability to rapidly assess the success or failure of malaria control programmes.

Indexed as

AdolescentAdultAge FactorsAntigens, ProtozoanChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantInfant, NewbornLongitudinal StudiesMalaria, FalciparumMaleMembrane ProteinsMerozoite Surface Protein 1Antigens, Protozoanapical membrane antigen I, PlasmodiumMembrane ProteinsMerozoite Surface Protein 1Protozoan ProteinsAMA-1MalariaMSP-1Serology

Identifiers

PMID28764717
PMCPMC5539976
OpenAlexW2739782610

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.