Evidence map›Paper›PMID 29574065›Full record

ArticleThe Lancet. Infectious diseases2018

Genetic sequencing for surveillance of drug resistance in tuberculosis in highly endemic countries: a multi-country population-based surveillance study.

Matteo Zignol, Andrea Maurizio Cabibbe, Anna S Dean, Philippe Glaziou, Natavan Alikhanova, Cecilia Ama, Sönke Andres, Anna Barbova, Angeli Borbe-Reyes, Daniel P Chin and 33 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in The Lancet. Infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 67 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 2 pooled it
14.9field-weighted citation impact, top 1% 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

67 citing papers in PubMed, 2 syntheses or guidelines pooled it, 160 citations in OpenAlex.

  1. Treatment of Drug-Resistant Tuberculosis. An Official ATS/CDC/ERS/IDSA Clinical Practice Guideline.American journal of respiratory and critical care medicine · 2019
    Guideline
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7 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

43 authors at 20 institutions in 14 countries.

Matteo ZignolGlobal Tuberculosis Programme, World Health Organization, Geneva, Switzerland. Electronic address: zignolm@who.int.
Andrea Maurizio CabibbeGlobal Tuberculosis Programme, World Health Organization, Geneva, Switzerland; San Raffaele Scientific Institute, Milan, Italy.
Anna S DeanGlobal Tuberculosis Programme, World Health Organization, Geneva, Switzerland.
Philippe GlaziouGlobal Tuberculosis Programme, World Health Organization, Geneva, Switzerland.
Natavan AlikhanovaScientific Research Institute of Lung Diseases, Ministry of Health, Baku, Azerbaijan.
Cecilia AmaNational Tuberculosis Reference Laboratory, Manila, Philippines.
Sönke AndresNational Reference Laboratory for Mycobacteria, Borstel Research Centre, Borstel, Germany.
Anna BarbovaCentral Reference Laboratory on Tuberculosis Microbiological Diagnostics, Ministry of Health, Kiev, Ukraine.
Angeli Borbe-ReyesNational Tuberculosis Reference Laboratory, Manila, Philippines.
Daniel P ChinBill & Melinda Gates Foundation, Seattle, WA, USA.
Daniela Maria CirilloSan Raffaele Scientific Institute, Milan, Italy.
Charlotte ColvinBureau for Global Health, US Agency for International Development, Washington, DC, USA.
Andrei DaduRegional Office for Europe, World Health Organization, Copenhagen, Denmark.
Andries DreyerNational Institute for Communicable Diseases, Sandringham, South Africa.
Michèle DriesenMycobacteriology Unit, Institute of Tropical Medicine, Antwerp, Belgium.
Christopher GilpinGlobal Tuberculosis Programme, World Health Organization, Geneva, Switzerland.
Rumina HasanDepartment of Pathology and Laboratory Medicine, Aga Khan University, Karachi, Pakistan.
Zahra HasanDepartment of Pathology and Laboratory Medicine, Aga Khan University, Karachi, Pakistan.
Sven HoffnerDepartment of Microbiology, Tumour and Cell Biology, Karolinska Institute, Stockholm, Sweden.
Alamdar HussainNational Reference Laboratory, National Tuberculosis Control Programme, Islamabad, Pakistan.
Nazir IsmailNational Institute for Communicable Diseases, Sandringham, South Africa; Department of Medical Microbiology, University of Pretoria, Pretoria, South Africa.
S M Mostofa KamalDepartment of Pathology and Microbiology, National Institute of Diseases of the Chest and Hospital, Dhaka, Bangladesh.
Faisal Masood KhanzadaNational Reference Laboratory, National Tuberculosis Control Programme, Islamabad, Pakistan.
Michael KimerlingKNCV Tuberculosis Foundation, The Hague, Netherlands.
Thomas Andreas KohlMolecular and Experimental Mycobacteriology, Borstel Research Centre, Borstel, Germany.
Mikael MansjöDepartment of Microbiology, Public Health Agency of Sweden, Solna, Sweden.
Paolo MiottoSan Raffaele Scientific Institute, Milan, Italy.
Ya Diul MukadiBureau for Global Health, US Agency for International Development, Washington, DC, USA.
Lindiwe MvusiTuberculosis Control and Management Unit, National Department of Health, Pretoria, South Africa.
Stefan NiemannMolecular and Experimental Mycobacteriology, Borstel Research Centre, Borstel, Germany.
Shaheed V OmarNational Institute for Communicable Diseases, Sandringham, South Africa.
Leen RigoutsMycobacteriology Unit, Institute of Tropical Medicine, Antwerp, Belgium; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.
Marco SchitoCritical Path Institute, Tucson, AZ, USA.
Ivita SelaDepartment of Mycobacteriology, Tuberculosis and Lung Disease Centre, Riga East University Hospital, Riga, Latvia.
Mehriban SeyfaddinovaScientific Research Institute of Lung Diseases, Ministry of Health, Baku, Azerbaijan.
Girts SkendersDepartment of Mycobacteriology, Tuberculosis and Lung Disease Centre, Riga East University Hospital, Riga, Latvia.
Alena SkrahinaRepublican Scientific and Practical Centre for Pulmonology and Tuberculosis, Minsk, Belarus.
Sabira TahseenNational Reference Laboratory, National Tuberculosis Control Programme, Islamabad, Pakistan.
William A WellsBureau for Global Health, US Agency for International Development, Washington, DC, USA.
Alexander ZhuriloNational Institute of Phthisiology And Pulmonology, National Academy of Medical Science of Ukraine, Kiev, Ukraine.
Karin WeyerGlobal Tuberculosis Programme, World Health Organization, Geneva, Switzerland.
Katherine FloydGlobal Tuberculosis Programme, World Health Organization, Geneva, Switzerland.
Mario C RaviglioneGlobal Tuberculosis Programme, World Health Organization, Geneva, Switzerland.
World Health Organization · CHAbdus Salam Centre for Physics · PKResearch Center Borstel - Leibniz Lung Center · DESan Raffaele University of Rome · ITUnited States Agency for International Development · USAga Khan University · PKInstituut voor Tropische Geneeskunde · BEMinistry of Healthcare · AZRespiratory and Meningeal Pathogens Research Unit · ZARiga East University Hospital · LVBill & Melinda Gates Foundation · USCritical Path Institute · USDepartment of Health · ZAKarolinska Institutet · SENational Institute for Communicable DiseasesNational Institute of Cardiovascular Diseases · BDPublic Health Agency of Sweden · SERepublican Scientific and Practical Centre of Pulmonology and Tuberculosis · BYTuBerculosis Vaccine Initiative · NLWorld Health Organization Regional Office for Europe · DK

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundIn many countries, regular monitoring of the emergence of resistance to anti-tuberculosis drugs is hampered by the limitations of phenotypic testing for drug susceptibility. We therefore evaluated the use of genetic sequencing for surveillance of drug resistance in tuberculosis.

methodsPopulation-level surveys were done in hospitals and clinics in seven countries (Azerbaijan, Bangladesh, Belarus, Pakistan, Philippines, South Africa, and Ukraine) to evaluate the use of genetic sequencing to estimate the resistance of Mycobacterium tuberculosis isolates to rifampicin, isoniazid, ofloxacin, moxifloxacin, pyrazinamide, kanamycin, amikacin, and capreomycin. For each drug, we assessed the accuracy of genetic sequencing by a comparison of the adjusted prevalence of resistance, measured by genetic sequencing, with the true prevalence of resistance, determined by phenotypic testing.

findingsIsolates were taken from 7094 patients with tuberculosis who were enrolled in the study between November, 2009, and May, 2014. In all tuberculosis cases, the overall pooled sensitivity values for predicting resistance by genetic sequencing were 91% (95% CI 87-94) for rpoB (rifampicin resistance), 86% (74-93) for katG, inhA, and fabG promoter combined (isoniazid resistance), 54% (39-68) for pncA (pyrazinamide resistance), 85% (77-91) for gyrA and gyrB combined (ofloxacin resistance), and 88% (81-92) for gyrA and gyrB combined (moxifloxacin resistance). For nearly all drugs and in most settings, there was a large overlap in the estimated prevalence of drug resistance by genetic sequencing and the estimated prevalence by phenotypic testing.

interpretationGenetic sequencing can be a valuable tool for surveillance of drug resistance, providing new opportunities to monitor drug resistance in tuberculosis in resource-poor countries. Before its widespread adoption for surveillance purposes, there is a need to standardise DNA extraction methods, recording and reporting nomenclature, and data interpretation.

fundingBill & Melinda Gates Foundation, United States Agency for International Development, Global Alliance for Tuberculosis Drug Development.

Indexed as

Population SurveillanceAntitubercular AgentsAsiaDNA, BacterialDrug Resistance, Multiple, BacterialEndemic DiseasesEuropeGlobal HealthHumansMycobacterium tuberculosisSouth AfricaTuberculosis, Multidrug-ResistantAntitubercular AgentsDNA, Bacterial

Identifiers

PMID29574065
PMCPMC5968368
OpenAlexW2791749037

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.