Evidence map›Paper›PMID 40321291›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Modeling the impact of case finding for tuberculosis: The role of infection dynamics.

Theresa S Ryckman, Sourya Shrestha, Anthony T Fojo, Parastu Kasaie, David W Dowdy, Emily A Kendall

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

6 authors.

Theresa S RyckmanDepartment of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland 21287.ORCID 0000-0003-3214-3228
Sourya ShresthaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205.ORCID 0000-0002-6106-6834
Anthony T FojoDepartment of Medicine, Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland 21287.ORCID 0000-0002-9101-7910
Parastu KasaieDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205.ORCID 0000-0002-3744-9501
David W DowdyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205.ORCID 0000-0003-0481-7475
Emily A KendallDepartment of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland 21287.ORCID 0000-0002-0083-422X

Funding

Pharmacology and Pharmacometrics CoreP30AI168436 · NIAID · JOHNS HOPKINS UNIVERSITY · PI David Wesley Dowdy · 2022 to 2026
$6.1M
Who are the Ultra-positive, culture-negative? Understanding the trajectories of individuals in Uganda with trace M. tuberculosis nucleic acid in sputumR01HL153611 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI KENDALL, EMILY A · 2020 to 2024
$3.2M
Integrating genomic and spatial insights on Mtb transmission into policy-relevant modelsK01AI182503 · NIAID · JOHNS HOPKINS UNIVERSITY · PI RYCKMAN, THERESA · 2024 to 2025
$249k
NHLBI NIH HHS R01 HL153611NIAID NIH HHS K01 AI182503NIAID NIH HHS P30 AI168436
6 · The paper itself

Abstract

Population-level case-finding is globally recommended as a strategy to reduce the burden of tuberculosis in high-burden settings, but mathematical models overwhelmingly project that case-finding will yield only modest reductions in incidence. We evaluated whether the common assumption of lifelong risk of progression after infection leads models to undervalue the impact of case-finding. Specifically, clearance of latent infection reduces the rate of long-term "reactivation", which could result in more pronounced effects from interventions (such as case-finding) that reduce

Identifiers

PMID40321291
PMCPMC12047918

What OpenQuestion holds

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LicenceCC BY-NC
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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.