Evidence map›Paper›PMID 29675789›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2018

Experimental platform utilising melting curve technology for detection of mutations in Mycobacterium tuberculosis isolates.

Agnieszka Broda, Vlad Nikolayevskyy, Nicki Casali, Huma Khan, Richard Bowker, Gemma Blackwell, Bhakti Patel, James Hume, Waqar Hussain, Francis Drobniewski

Open access · hybridAbstract read
In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 52% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Agnieszka BrodaInfectious Diseases, Department of Medicine, Imperial College London, London, UK.
Vlad NikolayevskyyInfectious Diseases, Department of Medicine, Imperial College London, London, UK.
Nicki CasaliInfectious Diseases, Department of Medicine, Imperial College London, London, UK.
Huma KhanEnigma Diagnostics Ltd, Salisbury, UK.
Richard BowkerEnigma Diagnostics Ltd, Salisbury, UK.
Gemma BlackwellEnigma Diagnostics Ltd, Salisbury, UK.
Bhakti PatelEnigma Diagnostics Ltd, Salisbury, UK.
James HumeEnigma Diagnostics Ltd, Salisbury, UK.
Waqar HussainEnigma Diagnostics Ltd, Salisbury, UK.
Francis DrobniewskiInfectious Diseases, Department of Medicine, Imperial College London, London, UK. f.drobniewski@imperial.ac.uk.
Enigma Diagnostics (United Kingdom) · GBImperial College London · GB

Funding

Innovate UK 101552
6 · The paper itself

Abstract

Tuberculosis (TB) remains one of the most deadly infections with approximately a quarter of cases not being identified and/or treated mainly due to a lack of resources. Rapid detection of TB or drug-resistant TB enables timely adequate treatment and is a cornerstone of effective TB management. We evaluated the analytical performance of a single-tube assay for multidrug-resistant TB (MDR-TB) on an experimental platform utilising RT-PCR and melting curve analysis that could potentially be operated as a point-of-care (PoC) test in resource-constrained settings with a high burden of TB. Firstly, we developed and evaluated the prototype MDR-TB assay using specimens extracted from well-characterised TB isolates with a variety of distinct rifampicin and isoniazid resistance conferring mutations and nontuberculous Mycobacteria (NTM) strains. Secondly, we validated the experimental platform using 98 clinical sputum samples from pulmonary TB patients collected in high MDR-TB settings. The sensitivity of the platform for TB detection in clinical specimens was 75% for smear-negative and 92.6% for smear-positive sputum samples. The sensitivity of detection for rifampicin and isoniazid resistance was 88.9 and 96.0% and specificity was 87.5 and 100%, respectively. Observed limitations in sensitivity and specificity could be resolved by adjusting the sample preparation methodology and melting curve recognition algorithm. Overall technology could be considered a promising PoC methodology especially in resource-constrained settings based on its combined accuracy, convenience, simplicity, speed, and cost characteristics.

Indexed as

Antitubercular AgentsBase SequenceDrug Resistance, Multiple, BacterialHumansIsoniazidMicrobial Sensitivity TestsMutationMycobacterium tuberculosisNucleic Acid DenaturationPoint-of-Care SystemsRifampinSensitivity and SpecificitySequence Analysis, DNASputumTuberculosis, Multidrug-ResistantTuberculosis, PulmonaryAntitubercular AgentsIsoniazidRifampinDrugs resistanceMelting curvesMolecular assaysMultidrug-resistant tuberculosisMycobacterium tuberculosis

Identifiers

PMID29675789
PMCPMC6015100
OpenAlexW2800652261

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.