ReviewMolecular biology reports2020
Advances in diagnosis of Tuberculosis: an update into molecular diagnosis of Mycobacterium tuberculosis.
Review in Molecular biology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers, 6 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
156 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Truenat MTB assays for pulmonary tuberculosis and rifampicin resistance in adults and adolescents.The Cochrane database of systematic reviews · 2025Pooled it
- Diagnostic performance of biomarkers for differentiating active tuberculosis from latent tuberculosis: a systematic review and Bayesian network meta-analysis.Frontiers in microbiology · 2024Pooled it
- Diagnostic accuracy of oral swab for detection of pulmonary tuberculosis: a systematic review and meta-analysis.Frontiers in medicine · 2023Pooled it
- Evaluating the efficacy of stool sample on Xpert MTB/RIF Ultra and its comparison with other sample types by meta-analysis for TB diagnostics.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022Pooled it
- The Value of FujiLAM in the Diagnosis of Tuberculosis: A Systematic Review and Meta-Analysis.Frontiers in public health · 2021Pooled it
- Pooled it
- Development of a recombinase-aided amplification assay for rapid and sensitive detection ofExperimental and therapeutic medicine · 2026Article
- Current laboratory diagnostics for tuberculosis: from conventional approaches to next-generation molecular and immunological technologies.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Review
- PstS1-loaded exosomes promote Mycobacterium tuberculosis infection via miR-122-mediated PI3K/AKT/mTOR activation and autophagy suppression.In vitro cellular & developmental biology. Animal · 2026Article
- Xpert MTB/XDR performance in non-sputum samples for diagnosis of drug-resistant tuberculosis at a North Indian tertiary care center.Journal of clinical microbiology · 2026Article
- Factors associated with drug-resistant tuberculosis among patients at a tertiary referral hospital in Tanzania.BMC microbiology · 2026Article
- Leveraging rpoB amplicon signals from Xpert MTB/RIF ultra as a diagnostic opportunity for identifying Non-tuberculous mycobacteria in TB-negative specimens.Scientific reports · 2026Article
- COVID-19 disruptions and spring surges: an interrupted time-series analysis of tuberculosis diagnostic challenges in Northeast Iran.Scientific reports · 2026Article
- Evaluation of the efficacy of retroperitoneoscopic debridement for lumbar tuberculosis: a retrospective study and preliminary results.International orthopaedics · 2026Article
- The diagnostic yield of brushing versus non-brushing bronchoalveolar lavage fluid for Xpert MTB/RIF in patients with suspected tuberculosis: a prospective self-controlled study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- A PTPRO-Related Five-Gene Blood Transcriptional Signature with Diagnostic Potential for Tuberculosis.Biomedicines · 2026Article
- Review
- Clinico-microbiological study of extrapulmonary tuberculosis from a teaching institute in North India.Journal of family medicine and primary care · 2026Article
- Navigating Tuberculosis in Pregnancy and Lactation: A Review of Maternal and Neonatal Considerations.Diseases (Basel, Switzerland) · 2026Review
- Diagnostic value of phenotypic testing combined with molecular biology testing for tuberculosis.Scientific reports · 2026Article
96 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tuberculosis (TB) is a major cause of deaths by a single infectious agent and has now been a global public health problem due to increasing numbers of drug-resistant cases. Early and effective treatment is crucial to prevent the emergence of drug-resistance strains. This demands the availability of fast and reliable point-of-care (POC) diagnostic methods for effective case management. Commonly used methods to screen and diagnose TB are clinical, immunological, microscopy, radiography, and bacterial culture. In addition, recent advances in molecular diagnostic methods including MTBDRplus, loop-mediated isothermal amplification (LAMP), line probe assay (LPA), GeneXpert, and whole genome sequencing (WGS) have been employed to diagnose and characterize TB. These methods can simultaneously identify Mycobacterium tuberculosis (MTB) and mutation(s) associated with routinely used anti-TB drugs. Here, we review the use of currently available diagnostic methods and strategies including conventional to recently implemented next-generation sequencing (NGS) methods used to detect MTB in clinical perspective.
Indexed as
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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.