ArticleScience advances2024
TBscreen: A passive cough classifier for tuberculosis screening with a controlled dataset.
Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07018076 (Candidate Clinical Correlate of Prognostic Outcome for TB Study), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled 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.
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.
Candidate Clinical Correlate of Prognostic Outcome for TB Study
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Cough biomarkers for diagnosis and monitoring of respiratory disease: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2026Pooled it
- External validation of cough-based algorithms for pulmonary tuberculosis screening from the CODA TB DREAM challenge using cough data from Peru.Scientific reports · 2026Article
- Tuberculosis Screening from Cough Audio: Baseline Models, Clinical Variables, and Uncertainty Quantification.Sensors (Basel, Switzerland) · 2026Article
- Conversational speech for respiratory triage in primary care: a pilot study.Frontiers in medicine · 2026Article
- Tuberculosis Detection from Cough Recordings Using Bag-of-Words Classifiers.Sensors (Basel, Switzerland) · 2025Article
- Accelerating Cough-Based Algorithms for Pulmonary Tuberculosis Screening: Results From the CODA TB DREAM Challenge.Open forum infectious diseases · 2025Article
- Medical Insurance Reimbursement and the Effects of Tuberculosis Management in Guangxi Province, China: A Retrospective Cross-Sectional Study.Risk management and healthcare policy · 2025Article
- SympCoughNet: symptom assisted audio-based COVID-19 detection.Frontiers in digital health · 2025Article
- A dataset of Solicited Cough Sound for Tuberculosis Triage Testing.Scientific data · 2024Article
- Foundation models for cardiovascular disease detection via biosignals from digital stethoscopes.NPJ cardiovascular health · 2024Article
- Mycobacterium tuberculosis cough aerosol culture status associates with host characteristics and inflammatory profiles.Nature communications · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
Recent respiratory disease screening studies suggest promising performance of cough classifiers, but potential biases in model training and dataset quality preclude robust conclusions. To examine tuberculosis (TB) cough diagnostic features, we enrolled subjects with pulmonary TB (
Indexed as
Identifiers
What Socratic 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 Socratic graph.