Evidence map›Paper›PMID 36534797›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Infectious and clinical tuberculosis trajectories: Bayesian modeling with case finding implications.

Theresa S Ryckman, David W Dowdy, Emily A Kendall

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 4% of its field
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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Subclinical tuberculosis: a meta-analysis of prevalence and scoping review of definitions, prevalence and clinical characteristics.European respiratory review : an official journal of the European Respiratory Society · 2024
    Pooled it
  2. Article
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  11. Projecting the Impact and Costs of Near Point-of-Care Tuberculosis Screening Assays in Community-based Active Case Finding.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  12. Review
  13. Observational
  14. Inflammatory Biomarkers of Asymptomatic and Symptomatic Tuberculosis.bioRxiv : the preprint server for biology · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Theresa S RyckmanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205.ORCID 0000-0003-3214-3228
David W DowdyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205.ORCID 0000-0003-0481-7475
Emily A KendallCenter for Tuberculosis Research, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD 21287.
Johns Hopkins University · US

Funding

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
NHLBI NIH HHS R01 HL153611
6 · The paper itself

Abstract

The importance of finding people with undiagnosed tuberculosis (TB) hinges on their future disease trajectories. Assays for systematic screening should be optimized to find those whose TB will contribute most to future transmission or morbidity. In this study, we constructed a mathematical model that tracks the future trajectories of individuals with TB at a cross-sectional timepoint ("baseline"), classifying them by bacterial burden (smear positive/negative) and symptom status (symptomatic/subclinical). We used Bayesian methods to calibrate this model to targets derived from historical survival data and notification, mortality, and prevalence data from five countries. We combined resulting disease trajectories with evidence on infectiousness to estimate each baseline TB state's contribution to future transmission. For a person with smear-negative subclinical TB at baseline, the expected future duration of disease was short (mean 4.8 [95% uncertainty interval 3.3 to 8.4] mo); nearly all disease courses ended in spontaneous resolution, not treatment. In contrast, people with baseline smear-positive subclinical TB had longer undiagnosed disease durations (15.9 [11.1 to 23.5] mo); nearly all eventually developed symptoms and ended in treatment or death. Despite accounting for only 11 to 19% of prevalent disease, smear-positive subclinical TB accounted for 35 to 51% of future transmission-a greater contribution than symptomatic or smear-negative TB. Subclinical TB with a high bacterial burden accounts for a disproportionate share of future transmission. Priority should be given to developing inexpensive, easy-to-use assays for screening both symptomatic and asymptomatic individuals at scale-akin to rapid antigen tests for other diseases-even if these assays lack the sensitivity to detect paucibacillary disease.

Indexed as

Communicable DiseasesTuberculosisBayes TheoremCross-Sectional StudiesHumansPrevalencedisease courseepidemiological modelsinfectious disease transmissionmass screeningtuberculosis

Identifiers

PMID36534797
PMCPMC9907102
OpenAlexW4313429649

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.