Evidence map›Paper›PMID 31455349›Full record

ArticleMalaria journal2019

Field performance of the malaria highly sensitive rapid diagnostic test in a setting of varying malaria transmission.

Julia Mwesigwa, Hannah Slater, John Bradley, Binta Saidy, Fatima Ceesay, Charles Whittaker, Ballah Kandeh, Davis Nkwakamna, Chris Drakeley, Jean-Pierre Van Geertruyden and 3 more

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 4 pooled it
12.2field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 4 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
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  15. Rapid diagnosis ofFrontiers in cellular and infection microbiology · 2022
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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

13 authors at 7 institutions in 5 countries.

Julia MwesigwaMedical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia. Julia.mwesigwa@lshtm.ac.uk.ORCID http://orcid.org/0000-0003-2452-3677
Hannah SlaterMRC Centre for Global Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, Norfolk Place, London, W2 1P, UK.
John BradleyMRC Tropical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
Binta SaidyMedical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia.
Fatima CeesayMedical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia.
Charles WhittakerMRC Centre for Global Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, Norfolk Place, London, W2 1P, UK.
Ballah KandehNational Malaria Control Programme, Banjul, Gambia.
Davis NkwakamnaMedical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia.
Chris DrakeleyDepartment of Immunology and Infection, Faculty of Infectious Diseases and Tropical Medicine, London School of Hygiene and Tropical Medicine, London, UK.
Jean-Pierre Van GeertruydenFaculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.
Teun BousemaRadboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Jane AchanMedical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia.
Umberto D'AlessandroMedical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia.
MRC Unit the Gambia · GMLondon School of Hygiene & Tropical Medicine · GBEdward Francis Small Teaching Hospital · GMImperial College London · GBProgram for Appropriate Technology in Health · USRadboud University Nijmegen · NLUniversity of Antwerp · BE

Funding

DFID/NIHR/MRC/Wellcome Trust global health trials scheme MC_EX_MR_R006075_1Medical Research Council MR/R010161/1Medical Research Council MR/R015600/1Wellcome Trust
6 · The paper itself

Abstract

backgroundThe Gambia has successfully reduced malaria transmission. The human reservoir of infection could further decrease if malaria-infected individuals could be identified by highly sensitive, field-based, diagnostic tools and then treated.

methodsA cross-sectional survey was done at the peak of the 2017 malaria season in 47 Gambian villages. From each village, 100 residents were randomly selected for finger-prick blood samples to detect Plasmodium falciparum infections using highly sensitive rapid diagnostic tests (HS-RDT) and PCR. The sensitivity and specificity of the HS-RDT were estimated (assuming PCR as the gold standard) across varying transmission intensities and in different age groups. A deterministic, age-structured, dynamic model of malaria transmission was used to estimate the impact of mass testing and treatment (MTAT) with HS-RDT in four different scenarios of malaria prevalence by PCR: 5, 15, 30, and 60%, and with seasonal transmission. The impact was compared both to MTAT with conventional RDT and mass drug administration (MDA).

resultsMalaria prevalence by HS-RDT was 15% (570/3798; 95% CI 13.9-16.1). The HS-RDT sensitivity and specificity were 38.4% (191/497, 95% CI 34.2-42.71) and 88.5% (2922/3301; 95% CI 87.4-89.6), respectively. Sensitivity was the highest (50.9%, 95% CI 43.3-58.5%) in high prevalence villages (20-50% by PCR). The model predicted that in very low transmission areas (≤ 5%), three monthly rounds of MTAT with HS-RDT, starting towards the end of the dry season and testing 65 or 85% of the population for 2 consecutive years, would avert 62 or 78% of malaria cases (over 2 years), respectively. The effect of the intervention would be lower in a moderate transmission setting. In all settings, MDA would be superior to MTAT with HS-RDT which would be superior to MTAT with conventional RDT.

conclusionThe HS-RDT's field sensitivity was modest and varied by transmission intensity. In low to very low transmission areas, three monthly rounds per year of MTAT with HS-RDT at 85% coverage for 2 consecutive years would reduce malaria prevalence to such low levels that additional strategies may achieve elimination. The model prediction would need to be confirmed by cluster-randomized trials.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolCross-Sectional StudiesDiagnostic Tests, RoutineFemaleGambiaHumansInfantInfant, NewbornMalaria, FalciparumMaleMiddle AgedHighly sensitive rapid diagnostic testMalariaMass testing and treatmentPlasmodium falciparumTransmission areas

Identifiers

PMID31455349
PMCPMC6712604
OpenAlexW2970769387

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.