ArticleThe Journal of infectious diseases2026
Modeling the Impact of Case Finding for Tuberculosis: The Role of Infection Dynamics.
Article in The Journal of infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Update of
Authors and funding
6 authors.
Funding
Abstract
backgroundMany individuals previously infected with Mycobacterium tuberculosis (Mtb) may clear their infections or experience substantially reduced progression risks over time. Such dynamics suggest that recent transmission is more important in driving TB incidence in high-burden settings than previously estimated; thus, the impact of interventions to reduce transmission (eg, community-based active case finding) may also be greater than previously thought.
methodsWe constructed 2 models of Mtb transmission that differed only in the inclusion of a clearance mechanism. We calibrated these models independently to the same set of epidemiological data representative of a high-TB-burden setting (India) and used the calibrated models to project the impact of illustrative biennial active case-finding campaigns (75% coverage; 65% sensitivity).
resultsThe estimated annual risk of Mtb infection and prevalence of recent infection were substantially higher in the model with Mtb clearance, despite being fit to the same data. The clearance model projected a greater impact of case finding on the incidence of TB disease: 45% [95% uncertainty interval 28%-57%] reduction compared to no intervention after 10 years versus 11% [6%-18%] in the model without clearance.
conclusionsModels that allow for Mtb clearance are evidence-supported and project greater impact from active case finding than models that do not include these dynamics.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.