Evidence map›Paper›PMID 21819640›Full record

ArticleParasitology2011

Rates and intensity of re-infection with human helminths after treatment and the influence of individual, household, and environmental factors in a Brazilian community.

Bonnie Cundill, Neal Alexander, Jeff M Bethony, David Diemert, Rachel L Pullan, Simon Brooker

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Parasitology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 7 pooled it
1.2field-weighted citation impact, top 25% 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

29 citing papers in PubMed, 7 syntheses or guidelines pooled it, 47 citations in OpenAlex.

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  16. Risk of acquiringEpidemiology and infection · 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

6 authors at 2 institutions in 4 countries.

Bonnie CundillLondon School of Hygiene and Tropical Medicine, London, UK. bonnie.cundill@lshtm.ac.uk
Neal Alexander
Jeff M Bethony
David Diemert
Rachel L Pullan
Simon Brooker
George Washington University · USLondon School of Hygiene & Tropical Medicine · GB

Funding

Medical Research Council G0700837Wellcome Trust
6 · The paper itself

Abstract

This study quantifies the rate and intensity of re-infection with human hookworm and Schistosoma mansoni infection 12 months following successful treatment, and investigates the influence of socio-economic, geographical and environmental factors. A longitudinal study of 642 individuals aged over 5 years was conducted in Minas Gerais State, Brazil from June 2004 to March 2006. Risk factors were assessed using interval censored regression for the rate and negative binomial regression for intensity. The crude rate and intensity of hookworm re-infection was 0·21 per year (95% confidence interval (CI) 0·15-0·29) and 70·9 epg (95% CI 47·2-106·6). For S. mansoni the rate was 0·06 per year (95% CI 0·03-0·10) and intensity 6·51 epg (95% CI 3·82-11·11). Rate and intensity of re-infection with hookworm were highest among males and positively associated with previous infection status, absence of a toilet and house structure. Rate and intensity of S. mansoni re-infection were associated with previous infection status as well as geographical, environmental and socio-economic factors. The implications of findings for the design of anti-helminth vaccine trials are discussed.

Indexed as

AdolescentAdultAftercareAgedAncylostomatoideaAnimalsBrazilChildChild, PreschoolCross-Sectional StudiesFamily CharacteristicsFecesFemaleHookworm InfectionsHumansLongitudinal Studies

Identifiers

PMID21819640
PMCPMC3827741
OpenAlexW2170863432

What OpenQuestion holds

Textmetadata
LicenceTDM
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.