Evidence map›Paper›PMID 32868437›Full record

Trial reportProceedings of the National Academy of Sciences of the United States of America2020

Fine-scale heterogeneity in

Benjamin F Arnold, Henry Kanyi, Sammy M Njenga, Fredrick O Rawago, Jeffrey W Priest, W Evan Secor, Patrick J Lammie, Kimberly Y Won, Maurice R Odiere

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
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  11. Development of prediction models to identify hotspots of schistosomiasis in endemic regions to guide mass drug administration.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  12. Schistosomiasis Seroprevalence among Children Aged 0-14 Years in Nigeria, 2018.The American journal of tropical medicine and hygiene · 2024
    Article
  13. From serological surveys to disease burden: a modelling pipeline for Chagas disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  14. Article
  15. Monitoring transmission intensity of trachoma with serology.medRxiv : the preprint server for health sciences · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Observational
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

9 authors at 4 institutions in 2 countries.

Benjamin F ArnoldFrancis I. Proctor Foundation, University of California, San Francisco, CA 94143; ben.arnold@ucsf.edu.ORCID 0000-0001-6105-7295
Henry KanyiEastern and Southern Africa Centre of International Parasite Control, Kenya Medical Research Institute, Nairobi, Kenya.ORCID 0000-0003-2509-8692
Sammy M NjengaEastern and Southern Africa Centre of International Parasite Control, Kenya Medical Research Institute, Nairobi, Kenya.ORCID 0000-0001-6309-476X
Fredrick O RawagoCenter for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Jeffrey W PriestDivision of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30333.ORCID 0000-0001-9701-0990
W Evan SecorDivision of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, GA 30333.
Patrick J LammieNeglected Tropical Disease Support Center, Task Force for Global Health, Decatur, GA 30030.ORCID 0000-0002-2139-6564
Kimberly Y WonDivision of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, GA 30333.ORCID 0000-0003-2835-6140
Maurice R OdiereCenter for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.ORCID 0000-0001-7561-4873
Kenya Medical Research Institute · KECenters for Disease Control and Prevention · USThe Task Force for Global Health · USUniversity of California, San Francisco · US

Funding

New Serological Measures of Infectious Disease Transmission IntensityK01AI119180 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ARNOLD, BENJAMIN F · 2015 to 2019
$709k
NIAID NIH HHS K01 AI119180
6 · The paper itself

Abstract

Schistosomiasis is among the most common parasitic diseases in the world, with over 142 million people infected in low- and middle-income countries. Measuring population-level transmission is centrally important in guiding schistosomiasis control programs. Traditionally, human

Indexed as

AnimalsAntibody FormationChild, PreschoolFecesFemaleHumansInfantKenyaMalePrevalenceSchistosoma mansoniSchistosomiasisSchistosomiasis mansoniantibodiesepidemiologyinfectious disease transmissionparasitologyschistosomiasis

Identifiers

PMID32868437
PMCPMC7502727
OpenAlexW3082010942

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.