SynthesisJournal of clinical microbiology2013
High-resolution melting curve analysis for rapid detection of rifampin resistance in Mycobacterium tuberculosis: a meta-analysis.
Synthesis in Journal of clinical microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 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
16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- Prevalence and contributing factors of drug-resistant tuberculosis (DR-TB) in iran: a systematic review.BMC infectious diseases · 2025Pooled it
- Diagnostic accuracy of high-resolution melting curve analysis for discrimination of oncology-associatedThe Journal of international medical research · 2025Pooled it
- High resolution melting assay as a reliable method for diagnosing drug-resistant TB cases: a systematic review and meta-analysis.BMC infectious diseases · 2021Pooled it
- Strategies for advanced personalized tuberculosis diagnosis: Current technologies and clinical approaches.Precision clinical medicine · 2021Review
- Rapid screening of MMACHC gene mutations by high-resolution melting curve analysis.Molecular genetics & genomic medicine · 2020Article
- Light Forge: A Microfluidic DNA Melting-based Tuberculosis Test.The journal of applied laboratory medicine · 2020Article
- High-resolution melt curve analysis for rapid detection of rifampicin resistance inNew microbes and new infections · 2020Article
- Development and application of affordable SNP typing approaches to genotype Mycobacterium tuberculosis complex strains in low and high burden countries.Scientific reports · 2019Article
- Experimental platform utilising melting curve technology for detection of mutations in Mycobacterium tuberculosis isolates.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018Article
- A 10-Year Comparative Analysis Shows that Increasing Prevalence of Rifampin-Resistant Mycobacterium tuberculosis in China Is Associated with the Transmission of Strains Harboring Compensatory Mutations.Antimicrobial agents and chemotherapy · 2018Article
- Molecular detection of rifampin, isoniazid, and ofloxacin resistance in Iranian isolates ofInfection and drug resistance · 2018Article
- Molecular Diagnosis of Tuberculosis.Chonnam medical journal · 2018Review
- Article
- Plasmid-based high-resolution melting analysis for accurate detection of rpoB mutations in Mycobacterium tuberculosis isolates from Moroccan patients.BMC infectious diseases · 2017Article
- Direct Detection of Rifampin and Isoniazid Resistance in Sputum Samples from Tuberculosis Patients by High-Resolution Melt Curve Analysis.Journal of clinical microbiology · 2017Article
- Development of High Resolution Melting Analysis for the Diagnosis of Human Malaria.Scientific reports · 2015Article
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A rapid, simple, accurate, and affordable method for the detection of drug-resistant tuberculosis is very critical for the selection of antimicrobial therapy and management of patient treatment. High-resolution melting curve analysis has been used for the detection of rifampin resistance in Mycobacterium tuberculosis and has shown promise. We did a systematic review and meta-analysis of published studies to evaluate the accuracy of high-resolution melting curve analysis for the detection of rifampin resistance in clinical M. tuberculosis isolates. We searched the PubMed, BIOSIS Previews, and Web of Science databases to identify studies and included them according to predetermined criteria. We used the DerSimonian-Laird random-effects model to calculate pooled measures and applied Moses' constant for linear models to fit the summary receiver operating characteristic curve. According to the selection criteria, most of the identified studies were excluded, and only seven studies were included in the final analysis. The overall sensitivity of the high-resolution melting curve analysis was 94% (95% confidence interval [CI], 92% to 96%), and the overall specificity was very high at 99% (95% CI, 98% to 100%). The values for the pooled positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 63.39 (95% CI, 30.21 to 133.00), 0.06 (95% CI, 0.04 to 0.09), and 892.70 (95% CI, 385.50 to 2,067.24), respectively. There was no significant heterogeneity across all included studies for the measurements we evaluated. The summary receiver operating characteristic curve for the same data shows an area of 0.99 and a Q* value of 0.97. High-resolution melting curve analysis has high sensitivity and specificity for the detection of rifampin resistance in clinical M. tuberculosis isolates. This method might be a good alternative to conventional drug susceptibility tests in clinical practice.
Indexed as
Identifiers
What 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.