Evidence map›Paper›PMID 41501491›Full record

ArticleNature medicine2026

Estimating the number of incorrect tuberculosis diagnoses in low- and middle-income countries.

Ana van Lieshout Titan, Peter J Dodd, Ted Cohen, Nicolas A Menzies

Abstract read
PubMed Publisher
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Ana van Lieshout TitanDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Peter J DoddSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Ted CohenDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-8091-7198
Nicolas A MenziesDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, MA, USA. nmenzies@hsph.harvard.edu.ORCID http://orcid.org/0000-0002-2571-016X

Funding

FEND for TB supplement to accelerate BLINK X developmentU01AI152084 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI ALLAND, DAVID, DORMAN, SUSAN E · 2020 to 2024
$20.0M
NIAID NIH HHS U01 AI152084
6 · The paper itself

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

Developing CountriesDiagnostic ErrorsTuberculosisFalse Negative ReactionsFalse Positive ReactionsHumansMycobacterium tuberculosisPolymerase Chain ReactionPrevalenceWorld Health Organization

Identifiers

What OpenQuestion holds

Textmetadata
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.