Unknown

Dataset Information

Quantifying progression and regression across the spectrum of pulmonary tuberculosis: a data synthesis study.


ABSTRACT:

Background

Prevalence surveys show a substantial burden of subclinical (asymptomatic but infectious) tuberculosis, from which individuals can progress, regress, or even persist in a chronic disease state. We aimed to quantify these pathways across the spectrum of tuberculosis disease.

Methods

We created a deterministic framework of untreated tuberculosis disease with progression and regression between three states of pulmonary tuberculosis disease: minimal (non-infectious), subclinical (asymptomatic but infectious), and clinical (symptomatic and infectious). We obtained data from a previous systematic review of prospective and retrospective studies that followed and recorded the disease state of individuals with tuberculosis in a cohort without treatment. These data were con

SUBMITTER: Richards AS 

PROVIDER: S-EPMC10126316 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature