Evidence map›Paper›PMID 32342846›Full record

Trial reportThe American journal of tropical medicine and hygiene2020

Impact of Intermittent Mass Testing and Treatment on Incidence of Malaria Infection in a High Transmission Area of Western Kenya.

Meghna R Desai, Aaron M Samuels, Wycliffe Odongo, John Williamson, Nobert Awino Odero, Kephas Otieno, Ya Ping Shi, Stephen Patrick Kachur, Mary J Hamel, Simon Kariuki and 1 more

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal of tropical medicine and hygiene, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 4 pooled it
1.8field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 4 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  8. Potential of coconut oil as a mosquito repellent.Tropical medicine and health · 2025
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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 at 3 institutions in 2 countries.

Meghna R Desai1Division of Parasitic Diseases and Malaria, Malaria Branch, Centers for Disease Control and Prevention, Atlanta, Georgia.
Aaron M Samuels1Division of Parasitic Diseases and Malaria, Malaria Branch, Centers for Disease Control and Prevention, Atlanta, Georgia.
Wycliffe Odongo2Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
John Williamson1Division of Parasitic Diseases and Malaria, Malaria Branch, Centers for Disease Control and Prevention, Atlanta, Georgia.
Nobert Awino Odero2Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Kephas Otieno2Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Ya Ping Shi1Division of Parasitic Diseases and Malaria, Malaria Branch, Centers for Disease Control and Prevention, Atlanta, Georgia.
Stephen Patrick Kachur1Division of Parasitic Diseases and Malaria, Malaria Branch, Centers for Disease Control and Prevention, Atlanta, Georgia.
Mary J Hamel1Division of Parasitic Diseases and Malaria, Malaria Branch, Centers for Disease Control and Prevention, Atlanta, Georgia.
Simon Kariuki2Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Kim A Lindblade1Division of Parasitic Diseases and Malaria, Malaria Branch, Centers for Disease Control and Prevention, Atlanta, Georgia.
Centers for Disease Control and Prevention · USKenya Medical Research Institute · KEDivision of Parasitic Diseases and Malaria · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Progress with malaria control in western Kenya has stagnated since 2007. Additional interventions to reduce the high burden of malaria in this region are urgently needed. We conducted a two-arm, community-based, cluster-randomized, controlled trial of active case detection and treatment of malaria infections in all residents mass testing and treatment (MTaT) of 10 village clusters (intervention clusters) for two consecutive years to measure differences in the incidence of clinical malaria disease and malaria infections compared with 20 control clusters where MTaT was not implemented. All residents of intervention clusters, irrespective of history of fever or other malaria-related symptoms, were tested three times per year before the peak malaria season using malaria rapid diagnostic tests. All positive cases were treated with dihydroartemisinin-piperaquine. The incidence of clinical malaria was measured through passive surveillance, whereas the cumulative incidence of malaria infection was measured using active surveillance in a cohort comprising randomly selected residents. The incidence of clinical malaria was 0.19 cases/person-year (p-y, 95% CI: 0.13-0.28) in the intervention arm and 0.24 cases/p-y (95% CI: 0.15-0.39) in the control arm (incidence rate ratio [IRR] 0.79, 95% CI: 0.61-1.02). The cumulative incidence of malaria infections was similar between the intervention (2.08 infections/p-y, 95% CI: 1.93-2.26) and control arms (2.19 infections/p-y, 95% CI: 2.02-2.37) with a crude IRR of 0.95 (95% CI: 0.87-1.04). Six rounds of MTaT over 2 years did not have a significant impact on the incidence of clinical malaria or the cumulative incidence of malaria infection in this area of high malaria transmission.

Indexed as

AdolescentAntimalarialsArtemisininsChildChild, PreschoolFemaleHumansIncidenceKenyaMalaria, FalciparumMaleMass ScreeningPiperazinesQuinolinesAntimalarialsArtemisininsartenimolpiperaquinePiperazinesQuinolines

Identifiers

PMID32342846
PMCPMC7356446
OpenAlexW3017483481

What OpenQuestion holds

Textmetadata
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.