Evidence map›Paper›PMID 35857754›Full record

ArticlePLoS neglected tropical diseases2022

Seroprevalence of Strongyloides stercoralis infection in a South Indian adult population.

Saravanan Munisankar, Anuradha Rajamanickam, Suganthi Balasubramanian, Satishwaran Muthusamy, Chandra Kumar Dolla, Pradeep Aravindan Menon, Ponnuraja Chinnayan, Christopher Whalen, Paschaline Gumne, Inderdeep Kaur and 8 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 20 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

18 authors at 2 institutions in 2 countries.

Saravanan MunisankarNational Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India.ORCID 0000-0001-8394-0038
Anuradha RajamanickamNational Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India.
Suganthi BalasubramanianNational Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India.
Satishwaran MuthusamyNational Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India.
Chandra Kumar DollaNational Institute for Research in Tuberculosis, Chennai, India.
Pradeep Aravindan MenonNational Institute for Research in Tuberculosis, Chennai, India.
Ponnuraja ChinnayanNational Institute for Research in Tuberculosis, Chennai, India.
Christopher WhalenOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, United States of America.
Paschaline GumneOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, United States of America.
Inderdeep KaurOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, United States of America.
Varma NadimpalliOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, United States of America.
Akshay DeverakondaOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, United States of America.
Zhenhao ChenOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, United States of America.
John David OttoOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, United States of America.
Tesfalidet HabitegiyorgisOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, United States of America.
Harish KandaswamyOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, United States of America.
Thomas B NutmanLaboratory of Parasitic Diseases, National Institutes of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America.
Subash BabuNational Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India.
National Institutes of Health · USNational Institute of Research in Tuberculosis · IN

Funding

India International Center for Excellence in ResearchZIAAI001065 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI NUTMAN, THOMAS · 2009 to 2025
$19.0M
6 · The paper itself

Abstract

backgroundThe prevalence of Strongyloides stercoralis infection is estimated to be 30-100 million worldwide, although this an underestimate. Most cases remain undiagnosed due to the asymptomatic nature of the infection. We wanted to estimate the seroprevalence of S. stercoralis infection in a South Indian adult population.

methodsTo this end, we performed community-based screening of 2351 individuals (aged 18-65) in Kanchipuram District of Tamil Nadu between 2013 and 2020. Serological testing for S. stercoralis was performed using the NIE ELISA.

resultsOur data shows a seroprevalence of 33% (768/2351) for S. stercoralis infection which had a higher prevalence among males 36% (386/1069) than among females 29.8% (382/1282). Adults aged ≥55 (aOR = 1.65, 95% CI: 1.25-2.18) showed higher adjusted odds of association compared with other age groups. Eosinophil levels (39%) (aOR = 1.43, 95% CI: 1.19-1.74) and hemoglobin levels (24%) (aOR = 1.25, 95% CI: 1.11-1.53) were significantly associated with S. stercoralis infection. In contrast, low BMI (aOR = 1.15, 95% CI: 0.82-1.61) or the presence of diabetes mellitus (OR = 1.18, 95% CI: 0.83-1.69) was not associated with S. stercoralis seropositivity.

conclusionsOur study provides evidence for a very high baseline prevalence of S. stercoralis infection in South Indian communities and this information could provide realistic and concrete planning of control measures.

Indexed as

Strongyloides stercoralisStrongyloidiasisAdultAnimalsFecesFemaleHumansIndiaMalePrevalenceSeroepidemiologic Studies

Identifiers

PMID35857754
PMCPMC9299326
OpenAlexW4286210107

What OpenQuestion holds

Textmetadata
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.