ArticleNature medicine2026
Estimating the number of incorrect tuberculosis diagnoses in low- and middle-income countries.
Article in Nature medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Resources to implement general population mobile chest x-ray screening for tuberculosis in Uganda: A trial-based costing analysis.PLOS global public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Tuberculosis (TB) is the greatest cause of infectious disease deaths worldwide. In highly affected countries, effective TB control requires prompt identification and treatment of individuals with active disease. We examined the performance of TB case-finding in low- and middle-income countries based on a comprehensive analysis of TB diagnosis data reported to the World Health Organization. Using these data we estimated the total number of individuals correctly and incorrectly diagnosed with TB, for 111 countries with a collective 6.8 million TB notifications in 2023. Here we estimate that in 2023, 2.05 (1.83-2.27) million individuals were incorrectly diagnosed with TB (false-positives), and 1.00 (0.71-1.36) million received a false-negative diagnosis, at an assumed 25% disease prevalence among individuals evaluated for TB. As many as three of every ten TB notifications may not have TB, and many individuals with TB receive false-negative diagnoses. Compared to current diagnostic performance, scaling-up new polymerase chain reaction-based diagnostics would substantially reduce under-diagnosis but only produce a small reduction in false-positive diagnoses. Major improvements in TB diagnosis will likely require higher-sensitivity bacteriological tests combined with reduced reliance on clinical diagnosis.
Indexed as
Identifiers
41501491What 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.