Evidence map›Paper›PMID 42111217›Full record

ArticleiScience2026

Understanding

Jason Rosado, Jiru Han, Thomas Obadia, Jacob Munro, Zeinabou Traore, Kael Schoffer, Jessica Brewster, Caitlin Bourke, Joseph M Vinetz, Aimee R Taylor and 5 more

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Frequent and genetically diverseResearch square · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Jason RosadoInstitut Pasteur, Université Paris Cité, Infectious Diseases Epidemiology and Analytics G5 Unit, Paris, France.
Jiru HanGenetics and Gene Regulation Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.
Thomas ObadiaInstitut Pasteur, Université Paris Cité, Infectious Diseases Epidemiology and Analytics G5 Unit, Paris, France.
Jacob MunroGenetics and Gene Regulation Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.
Zeinabou TraoreInstitut Pasteur, Université Paris Cité, Infectious Diseases Epidemiology and Analytics G5 Unit, Paris, France.
Kael SchofferInfection and Global Health Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.
Jessica BrewsterInfection and Global Health Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.
Caitlin BourkeInfection and Global Health Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.
Joseph M VinetzSection of Infectious Diseases, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Aimee R TaylorInstitut Pasteur, Université Paris Cité, Infectious Diseases Epidemiology and Analytics G5 Unit, Paris, France.
Michael WhiteInstitut Pasteur, Université Paris Cité, Infectious Diseases Epidemiology and Analytics G5 Unit, Paris, France.
Melanie BahloGenetics and Gene Regulation Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.
Dionicia GamboaInstituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru.
Ivo MuellerInstitut Pasteur, Université Paris Cité, Infectious Diseases Epidemiology and Analytics G5 Unit, Paris, France.
Shazia Ruybal-PesántezInfection and Global Health Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the genetic relatedness of

Indexed as

DiagnosticsParasitology

Identifiers

PMID42111217
PMCPMC13157095

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.