Evidence map›Paper›PMID 40950492›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Comparison of phylogenetic metrics of transmission in symptomatic and asymptomatic tuberculosis.

Kesia Esther Da Silva, Paulo César Pereira Dos Santos, Daniel Henrique Tsuha, Katharine S Walter, Eunice Atsuko Totumi Cunha, Caroline Colijn, Ted Cohen, Roberto Dias de Oliveira, José Victor Bortolotto Bampi, Mariana G Croda and 4 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Kesia Esther Da SilvaStanford University, Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford, California, USA.ORCID 0000-0001-8593-1119
Paulo César Pereira Dos SantosSchool of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Brazil.
Daniel Henrique TsuhaSchool of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Brazil.
Katharine S WalterDivision of Epidemiology, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0003-0065-2204
Eunice Atsuko Totumi CunhaLaboratory of Bacteriology, Central Laboratory of Mato Grosso do Sul, Campo Grande, Brazil.
Caroline ColijnDepartment of Mathematics, Simon Fraser University, Burnaby, British Columbia, Canada.
Ted CohenDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.
Roberto Dias de OliveiraNursing Course, State University of Mato Grosso do Sul, Dourados, Brazil.ORCID 0000-0001-7996-8011
José Victor Bortolotto BampiSchool of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Brazil.
Mariana G CrodaSchool of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Brazil.
Crhistinne Cavalheiro Maymone GonçalvesSchool of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Brazil.
Luiz Henrique Ferraz DemarchiLaboratory of Bacteriology, Central Laboratory of Mato Grosso do Sul, Campo Grande, Brazil.
Julio CrodaSchool of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Brazil.ORCID 0000-0002-6665-6825
Jason R AndrewsStanford University, Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford, California, USA.

Funding

Strategies for tuberculosis control in prisonsR01AI130058 · NIAID · STANFORD UNIVERSITY · PI Jason Randolph Andrews, Julio Henrique Rosa Croda · 2017 to 2026
$5.8M
Characterizing infectiousness of subclinical TB and identifying novel early diagnostic strategies for preventing transmissionR01AI149620 · NIAID · STANFORD UNIVERSITY · PI ANDREWS, JASON RANDOLPH, CRODA, JULIO · 2020 to 2023
$617k
NIAID NIH HHS R01 AI130058NIAID NIH HHS R01 AI149620
6 · The paper itself

Abstract

Background: Understanding drivers of Methods: We conducted a genomic and epidemiological analysis of Findings: We sequenced 2,362 Interpretation: We identified no differences in transmission from symptomatic compared with asymptomatic individuals, using several genomic measures of transmission, underscoring the substantial contribution that asymptomatic tuberculosis makes to transmission at the population level.

Indexed as

AsymptomaticGenomic epidemiologyMycobacterium tuberculosisTuberculosis transmission

Identifiers

PMID40950492
PMCPMC12425057

What OpenQuestion holds

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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.