Evidence map›Paper›PMID 22253939›Full record

ArticlePLoS neglected tropical diseases2012

A field trial of alternative targeted screening strategies for Chagas disease in Arequipa, Peru.

Gabrielle C Hunter, Katty Borrini-Mayorí, Jenny Ancca Juárez, Ricardo Castillo Neyra, Manuela R Verastegui, Fernando S Malaga Chavez, Juan Geny Cornejo del Carpio, Eleazar Córdova Benzaquen, César Náquira, Robert H Gilman and 2 more

Abstract readEvaluation Study
In one paragraph

Article in PLoS neglected tropical diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  10. Bed bugs (Cimex lectularius) as vectors of Trypanosoma cruzi.The American journal of tropical medicine and hygiene · 2015
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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

12 authors.

Gabrielle C HunterDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Katty Borrini-Mayorí
Jenny Ancca Juárez
Ricardo Castillo Neyra
Manuela R Verastegui
Fernando S Malaga Chavez
Juan Geny Cornejo del Carpio
Eleazar Córdova Benzaquen
César Náquira
Robert H Gilman
Caryn Bern
Michael Z Levy

Funding

The ecology and epidemiology of Chagas disease in urban and rural communitiesP50AI074285 · NIAID · UNIVERSIDAD PERUANA CAYETANO HEREDIA · PI GARCIA, HECTOR HUGO · 2007 to 2011
$3.2M
Mathematical Techniques for Control of Epidemic Trypanosoma cruzi TransmissionK01AI079162 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI LEVY, MICHAEL Z · 2008 to 2012
$602k
NIAID NIH HHS 3K01AI079162-02S1NIAID NIH HHS 3K01AI079162-03S1NIAID NIH HHS 5K01 AI079162-02NIAID NIH HHS 5K01 AI079162-03NIAID NIH HHS K01 AI079162NIAID NIH HHS P50 AI074285NIAID NIH HHS P50 AI074285-03NIAID NIH HHS P50 AI074285-04
6 · The paper itself

Abstract

backgroundChagas disease is endemic in the rural areas of southern Peru and a growing urban problem in the regional capital of Arequipa, population ∼860,000. It is unclear how to implement cost-effective screening programs across a large urban and periurban environment.

methodsWe compared four alternative screening strategies in 18 periurban communities, testing individuals in houses with 1) infected vectors; 2) high vector densities; 3) low vector densities; and 4) no vectors. Vector data were obtained from routine Ministry of Health insecticide application campaigns. We performed ring case detection (radius of 15 m) around seropositive individuals, and collected data on costs of implementation for each strategy.

resultsInfection was detected in 21 of 923 (2.28%) participants. Cases had lived more time on average in rural places than non-cases (7.20 years versus 3.31 years, respectively). Significant risk factors on univariate logistic regression for infection were age (OR 1.02; p = 0.041), time lived in a rural location (OR 1.04; p = 0.022), and time lived in an infested area (OR 1.04; p = 0.008). No multivariate model with these variables fit the data better than a simple model including only the time lived in an area with triatomine bugs. There was no significant difference in prevalence across the screening strategies; however a self-assessment of disease risk may have biased participation, inflating prevalence among residents of houses where no infestation was detected. Testing houses with infected-vectors was least expensive. Ring case detection yielded four secondary cases in only one community, possibly due to vector-borne transmission in this community, apparently absent in the others.

conclusionsTargeted screening for urban Chagas disease is promising in areas with ongoing vector-borne transmission; however, these pockets of epidemic transmission remain difficult to detect a priori. The flexibility to adapt to the epidemiology that emerges during screening is key to an efficient case detection intervention. In heterogeneous urban environments, self-assessments of risk and simple residence history questionnaires may be useful to identify those at highest risk for Chagas disease to guide diagnostic efforts.

Indexed as

AdolescentAdultAgedAged, 80 and overChagas DiseaseChildChild, PreschoolCost-Benefit AnalysisCross-Sectional StudiesFemaleHumansInfantMaleMass ScreeningMiddle AgedPeru

Identifiers

PMID22253939
PMCPMC3254655

What OpenQuestion holds

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LicenceCC0
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.