SynthesisBMC infectious diseases2019
Diagnostic accuracy of TB-LAMP for pulmonary tuberculosis: a systematic review and meta-analysis.
Synthesis in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.
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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.
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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.
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Who cites it
45 citing papers in PubMed, 3 syntheses or guidelines pooled it, 80 citations in OpenAlex.
- Diagnostic accuracy of low-complexity, manual nucleic acid amplification tests for the detection of pulmonary and extrapulmonary tuberculosis in adults and adolescents: a systematic review and meta-analysis∗.The Lancet. Microbe · 2025Pooled it
- How to diagnose TB in migrants? A systematic review of reviews and decision tree analytical modelling exercise to evaluate properties for single and combined tuberculosis screening tests.The European respiratory journal · 2025Pooled it
- Low-complexity manual nucleic acid amplification tests for pulmonary tuberculosis in children.The Cochrane database of systematic reviews · 2025Pooled it
- Diagnostic accuracy of GeneReady MTB assay on sputum for detecting pulmonary tuberculosis: a prospective multicenter study in China.Journal of clinical microbiology · 2026Article
- Current Landscape of Molecular Diagnostic Tests and Emerging Tools for Tuberculosis and Drug Resistance.Diagnostics (Basel, Switzerland) · 2026Review
- A cartridge-based assay for improved detection of multidrug-resistantJournal of clinical microbiology · 2026Article
- Diagnostic accuracy of TB-LAMP and smear microscopy for pulmonary TB in active case finding.IJTLD open · 2026Article
- Tuberculosis Diagnostic Methods: Clinical Applicability, Implementation Challenges, and Integrated Testing Strategies.Pathogens (Basel, Switzerland) · 2026Review
- A Systematic Review and Meta-analysis on Innovative Approaches in Tuberculosis Diagnosis: Challenges and Future Directions.International journal of MCH and AIDS · 2026Review
- From gaps to progress: five-year global advances in the diagnosis of pediatric tuberculosis.Frontiers in pediatrics · 2026Review
- Article
- Advancements in laboratory diagnostics for HIV/MTB coinfection: Integrating conventional methods with emerging technologies.Practical laboratory medicine · 2025Review
- Uptake and rollout of the World Health Organization-endorsed technologies for Tuberculosis diagnosis in Africa: a literature review of international evidence 2007-2021.African health sciences · 2025Review
- Predisposing, enabling, and need factors influencing rapid uptake of the world health organization-endorsed TB diagnostic technologies in Africa.BMC infectious diseases · 2025Article
- Cost-effectiveness of different tuberculosis diagnostic approaches in Nigeria based on decision analytical modelling.BMJ global health · 2025Article
- Integration of AI and ML in Tuberculosis (TB) Management: From Diagnosis to Drug Discovery.Diseases (Basel, Switzerland) · 2025Review
- Validation study of a novel, rapid, open platform real-time LAMP assay for early diagnosis of pulmonary tuberculosis.Scientific reports · 2025Article
- Addressing the challenge of tuberculosis screening in diabetic populations: a narrative review of methods and strategies.Frontiers in public health · 2025Review
- Applicability of TB-LAMP test for diagnosis of pulmonary TB among HIV-positive individuals.IJTLD open · 2025Article
- Rapid detection of Mycobacterium tuberculosis based on cyp141 via real-time fluorescence loop-mediated isothermal amplification (cyp141-RealAmp).Frontiers in cellular and infection microbiology · 2024Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundThe need for a rapid, molecular test to diagnose tuberculosis (TB) has prompted exploration of TB-LAMP (Eiken; Tokyo, Japan) for use in resource-limited settings. We conducted a systematic review to assess the accuracy of TB-LAMP as a diagnostic test for pulmonary TB.
methodsWe analyzed individual-level data for eligible patients from all studies of TB-LAMP conducted between Jan 2012 and October 2015 to compare the diagnostic accuracy of TB-LAMP with that of smear microscopy and Xpert MTB/RIF® using 3 reference standards of varying stringency. Pooled sensitivity and specificity and pooled differences in sensitivity and specificity were estimated using random effects meta-analysis. Study quality was evaluated using QUADAS-2.
resultsFour thousand seven hundred sixty individuals across 13 studies met eligibility criteria. Methodological quality was judged to be low for all studies. TB-LAMP had higher sensitivity than sputum smear microscopy (pooled sensitivity difference + 13·2, 95% CI 4·5-21·9%) and similar sensitivity to Xpert MTB/RIF (pooled sensitivity difference - 2·5, 95% CI -8·0 to + 2·9) using the most stringent reference standard available. Specificity of TB-LAMP was similar to that of sputum smear microscopy (pooled specificity difference - 1·8, 95% CI -3·8 to + 0·2) and Xpert MTB/RIF (pooled specificity difference 0·5, 95% CI -0·9 to + 1·8).
conclusionsFrom the perspective of diagnostic accuracy, TB-LAMP may be considered as an alternative test for sputum smear microscopy. Additional factors such as cost, feasibility, and acceptability in settings that continue to rely on sputum smear microscopy should be considered when deciding to adopt this technology. Xpert MTB/RIF should continue to be preferred in settings where resource and infrastructure requirements are adequate and where HIV co-infection or drug-resistance is of concern.
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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.