Reported Tuberculosis Symptoms: An Inadequate Classifier of Disease State

Around half of people identified with tuberculosis (TB) during prevalence surveys do not report symptoms, prompting increased interest in the public health implications of asymptomatic TB (aTB), as distinct from symptomatic TB (sTB). A recent World Health Organization report proposes investigating the optimal treatment for aTB, stratifying notification data by symptom status, and publishing incidence estimates based on sTB. We have concerns that the proposed use of aTB/sTB case definitions for surveillance, burden estimation, and clinical management is not supported by evidence. Although TB symptoms are linked to disease severity, we show that self-reported symptoms are an inadequate classifier of disease state, heavily influenced by context and substantial interviewer variability, and TB symptoms may frequently have alternative causes. We advocate for the adoption of more robust measures of severity, better reflecting underlying pathophysiology. Research on the TB disease spectrum should prioritize more objective severity metrics, alongside or instead of symptom-based classification.

Authors

Institutions

Publication Details

Journal
Clinical Infectious Diseases
Published
2025-11-06
DOI
https://doi.org/10.1093/cid/ciaf611
Citations
1
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
1.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reported Tuberculosis Symptoms: An Inadequate Classifier of Disease State

José Victor Bortolotto Bampi, Palwasha Khan, Peter MacPherson, Nora Engel et al.
1 citations
Clinical Infectious Diseases
Tuberculosis Research and Epidemiology
1.40
article

Reported Tuberculosis Symptoms: An Inadequate Classifier of Disease State

José Victor Bortolotto Bampi, Palwasha Khan, Peter MacPherson, Nora Engel, Katharina Kranzer, Nicky McCreesh
article en
1 citations

Abstract

Around half of people identified with tuberculosis (TB) during prevalence surveys do not report symptoms, prompting increased interest in the public health implications of asymptomatic TB (aTB), as distinct from symptomatic TB (sTB). A recent World Health Organization report proposes investigating the optimal treatment for aTB, stratifying notification data by symptom status, and publishing incidence estimates based on sTB. We have concerns that the proposed use of aTB/sTB case definitions for surveillance, burden estimation, and clinical management is not supported by evidence. Although TB symptoms are linked to disease severity, we show that self-reported symptoms are an inadequate classifier of disease state, heavily influenced by context and substantial interviewer variability, and TB symptoms may frequently have alternative causes. We advocate for the adoption of more robust measures of severity, better reflecting underlying pathophysiology. Research on the TB disease spectrum should prioritize more objective severity metrics, alongside or instead of symptom-based classification.

Clinical Infectious DiseasesVol. 82(3)
Universidade Federal de Mato Grosso do Sul (BR), University of London (GB), University of Liverpool (GB), Malawi-Liverpool-Wellcome Trust Clinical Research Programme (MW), London School of Hygiene & Tropical Medicine (GB), Biomedical Research and Training Institute (ZW), University of Glasgow (GB), Ludwig-Maximilians-Universität München (DE), Vrije Universiteit Amsterdam (NL)
Openalex Percentile: Top 14%
Tuberculosis Research and Epidemiology
1.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Reported Tuberculosis Symptoms: An Inadequate Classifier of Disease State — José Victor Bortolotto Bampi, Palwasha Khan, et al. · Clinical Infectious Diseases (2025) | TGRS Research Map | TGRS