Evidence map›Paper›PMID 30350779›Full record

Trial reportThe American journal of tropical medicine and hygiene2018

Comparison of the Impact of Different Mass Drug Administration Strategies on Infection with

Annette Olsen, Safari Kinung'hi, Pascal Magnussen

Open access · hybridAbstract readComparative StudyRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in The American journal of tropical medicine and hygiene, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
2.3field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Five-Year Impact of Different Multi-Year Mass Drug Administration Strategies on ChildhoodThe American journal of tropical medicine and hygiene · 2019
    Trial
  9. Trial
  10. Article
  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. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. A Search for Snail-Related Answers to Explain Differences in Response ofThe American journal of tropical medicine and hygiene · 2019
    Article
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

3 authors at 2 institutions in 2 countries.

Annette OlsenDepartment of Parasitology and Aquatic Pathobiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Safari Kinung'hiNational Institute for Medical Research, Mwanza Research Centre, Mwanza, Tanzania.
Pascal MagnussenCentre for Medical Parasitology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
University of Copenhagen · DKNational Institute for Medical Research · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Annual school-based mass drug administration with praziquantel has been widely implemented to control schistosomiasis, but other treatment strategies could have a different impact. The aim of this study was to investigate the impact of six different treatment strategies on

Indexed as

AnimalsAnthelminticsChildDrug Administration ScheduleFecesFemaleHumansMaleMass Drug AdministrationPraziquantelPrevalenceRural PopulationSchistosoma mansoniSchistosomiasis mansoniSchoolsTanzaniaAnthelminticsPraziquantel

Identifiers

PMID30350779
PMCPMC6283472
OpenAlexW2896481836

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.