ArticleAmerican journal of epidemiology2023
Invited Commentary: The Winding Road to Identifying the Annual Rate of Tuberculosis Infection.
Article in American journal of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Longitudinal dynamics and treatment-associated determinants of interferon-gamma responses in tuberculosis: a 10-year retrospective QuantiFERON-TB Gold study.Frontiers in cellular and infection microbiology · 2026Article
- Article
- Overlooked, dismissed, and downplayed: reversion ofEuropean respiratory review : an official journal of the European Respiratory Society · 2024Review
- Schwalb and Houben Respond to "The Winding Road to ARTI".American journal of epidemiology · 2023Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Many persons with immunological tests indicating Mycobacterium tuberculosis infection, such as tuberculin skin tests or interferon-γ release assays, are at risk of progression to tuberculosis disease. Persons whose tests revert to negative may no longer be at such risk. Therefore, identifying the rate of test reversion, potentially indicating cure of M. tuberculosis infection, is an important area of investigation. In their accompanying article (Am J Epidemiol. 2023;192(12):1937-1943), Schwalb et al. extract data on test reversion from prechemotherapy literature and construct a model to predict the rate of reversion, and thus the likely cure of infection. Unfortunately, the incompleteness of the historical data and the use of imprecise definitions of test positivity and reversion lead to substantial misclassification and limit the usefulness of the model. Better definitions and improved tests will be needed in order to develop a clear picture of this aspect of the natural history of tuberculosis.
Indexed as
Identifiers
37222469What 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.