ArticleThe European respiratory journal2017
The long and winding road of chest radiography for tuberculosis detection.
Article in The European respiratory journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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
17 citing papers in PubMed.
- Tuberculosis disease and infection among household contacts of bacteriologically confirmed vs unconfirmed tuberculosis in Cambodia: considerations for optimising contact investigation and preventive treatment.Annals of medicine · 2026Article
- Accuracy and operational performance of computer-aided detection software use cases for TB screening: a retrospective comparative evaluation in Ho Chi Minh City, Viet Nam.BMJ public health · 2026Article
- Comparison of different Lunit INSIGHT CXR software versions when reading chest radiographs for tuberculosis.PLOS digital health · 2025Article
- Historical and Social Considerations upon Tuberculosis.Journal of preventive medicine and hygiene · 2025Article
- Impact of active case finding for tuberculosis with mass chest X-ray screening in Glasgow, Scotland, 1950-1963: An epidemiological analysis of historical data.PLoS medicine · 2024Article
- Chest Radiograph Screening for Detecting Subclinical Tuberculosis in Asymptomatic Household Contacts, Peru.Emerging infectious diseases · 2024Article
- Finding the missed millions: innovations to bring tuberculosis diagnosis closer to key populations.BMC global and public health · 2024Review
- Beyond the Bacillus: Closing Gaps in Tuberculosis Health Disparities Requires Targeting Social Determinants.Annals of internal medicine · 2024Article
- Comparative thoracic radiography in healthy and tuberculosis-positive sun bears (Frontiers in veterinary science · 2024Article
- Computer-Aided Detection for Chest Radiography to Improve the Quality of Tuberculosis Diagnosis in Vietnam's District Health Facilities: An Implementation Study.Tropical medicine and infectious disease · 2023Article
- Accuracy of computer-aided chest X-ray in community-based tuberculosis screening: Lessons from the 2016 Kenya National Tuberculosis Prevalence Survey.PLOS global public health · 2022Article
- Article
- Independent evaluation of 12 artificial intelligence solutions for the detection of tuberculosis.Scientific reports · 2021Article
- Early Evaluation of an Ultra-Portable X-ray System for Tuberculosis Active Case Finding.Tropical medicine and infectious disease · 2021Article
- Accuracy and Incremental Yield of the Chest X-Ray in Screening for Tuberculosis in Uganda: A Cross-Sectional Study.Tuberculosis research and treatment · 2021Article
- Deep learning, computer-aided radiography reading for tuberculosis: a diagnostic accuracy study from a tertiary hospital in India.Scientific reports · 2020Article
- Designing and Evaluating Interventions to Halt the Transmission of Tuberculosis.The Journal of infectious diseases · 2017Review
Corrections and comments
- Comment on
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
28529204What 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.