Evidence map›Paper›PMID 31961877›Full record

Observational studyPLoS medicine2020

Prevalence and genetic profiles of isoniazid resistance in tuberculosis patients: A multicountry analysis of cross-sectional data.

Anna S Dean, Matteo Zignol, Andrea Maurizio Cabibbe, Dennis Falzon, Philippe Glaziou, Daniela Maria Cirillo, Claudio U Köser, Lice Y Gonzalez-Angulo, Olga Tosas-Auget, Nazir Ismail and 6 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PLoS medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 3 pooled it
1.9field-weighted citation impact, top 8% 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

88 citing papers in PubMed, 3 syntheses or guidelines pooled it, 132 citations in OpenAlex.

  1. Pooled it
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  4. Trial
  5. Real-world treatment outcomes of a 6-month fluoroquinolone-containing regimen for isoniazid mono-resistant pulmonary tuberculosis in Korea.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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  15. Genomic characterization of drug-resistantFrontiers in tuberculosis · 2026
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28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 6 institutions in 5 countries.

Anna S DeanGlobal TB Programme, World Health Organization, Geneva, Switzerland.ORCID 0000-0002-9539-7164
Matteo ZignolGlobal TB Programme, World Health Organization, Geneva, Switzerland.
Andrea Maurizio CabibbeEmerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0001-9727-6465
Dennis FalzonGlobal TB Programme, World Health Organization, Geneva, Switzerland.ORCID 0000-0001-8798-7909
Philippe GlaziouGlobal TB Programme, World Health Organization, Geneva, Switzerland.
Daniela Maria CirilloEmerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0001-6415-1535
Claudio U KöserDepartment of Genetics, University of Cambridge, Cambridge, United Kingdom.
Lice Y Gonzalez-AnguloGlobal TB Programme, World Health Organization, Geneva, Switzerland.
Olga Tosas-AugetGlobal TB Programme, World Health Organization, Geneva, Switzerland.
Nazir IsmailCentre for Tuberculosis, National Institute for Communicable Diseases, Johannesburg, South Africa.
Sabira TahseenNational TB Reference Laboratory, National Tuberculosis Control Programme, Islamabad, Pakistan.ORCID 0000-0002-6887-8149
Maria Cecilia G AmaNational TB Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa City, Philippines.ORCID 0000-0001-5652-889X
Alena SkrahinaRepublican Scientific and Practical Centre for Pulmonology and Tuberculosis, Minsk, Belarus.
Natavan AlikhanovaMain Medical Department, Ministry of Justice, Baku, Azerbaijan.ORCID 0000-0002-1430-1889
S M Mostofa KamalNational TB Reference Laboratory, Dhaka, Bangladesh.ORCID 0000-0003-4439-0752
Katherine FloydGlobal TB Programme, World Health Organization, Geneva, Switzerland.ORCID 0000-0001-8574-9480
World Health Organization · CHVita-Salute San Raffaele University · ITNational Institute for Communicable DiseasesRepublican Scientific and Practical Centre of Pulmonology and Tuberculosis · BYResearch Institute for Tropical Medicine · PHUniversity of Cambridge · GB

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe surveillance of drug resistance among tuberculosis (TB) patients is central to combatting the global TB epidemic and preventing the spread of antimicrobial resistance. Isoniazid and rifampicin are two of the most powerful first-line anti-TB medicines, and resistance to either of them increases the risk of treatment failure, relapse, or acquisition of resistance to other drugs. The global prevalence of rifampicin resistance is well documented, occurring in 3.4% (95% CI 2.5%-4.4%) of new TB patients and 18% (95% CI 7.6%-31%) of previously treated TB patients in 2018, whereas the prevalence of isoniazid resistance at global and regional levels is less understood. In 2018, the World Health Organization (WHO) recommended a modified 6-month treatment regimen for people with isoniazid-resistant, rifampicin-susceptible TB (Hr-TB), which includes rifampicin, pyrazinamide, ethambutol, and levofloxacin. We estimated the global prevalence of Hr-TB among TB patients and investigated associated phenotypic and genotypic drug resistance patterns. METHODS AND

findingsAggregated drug resistance data reported to WHO from either routine continuous surveillance or nationally representative periodic surveys of TB patients for the period 2003-2017 were reviewed. Isoniazid data were available from 156 countries or territories for 211,753 patients. Among these, the global prevalence of Hr-TB was 7.4% (95% CI 6.5%-8.4%) among new TB patients and 11.4% (95% CI 9.4%-13.4%) among previously treated TB patients. Additional data on pyrazinamide and levofloxacin resistance were available from 6 countries (Azerbaijan, Bangladesh, Belarus, Pakistan, the Philippines, and South Africa). There were no cases of resistance to both pyrazinamide and levofloxacin among Hr-TB patients, except for the Philippines (1.8%, 95% CI 0.2-6.4) and Belarus (5.3%, 95% CI 0.1-26.0). Sequencing data for all genomic regions involved in isoniazid resistance were available for 4,563 patients. Among the 1,174 isolates that were resistant by either phenotypic testing or sequencing, 78.6% (95% CI 76.1%-80.9%) had resistance-conferring mutations in the katG gene and 14.6% (95% CI 12.7%-16.8%) in both katG and the inhA promoter region. For 6.8% (95% CI 5.4%-8.4%) of patients, mutations occurred in the inhA promoter alone, for whom an increased dose of isoniazid may be considered. The main limitations of this study are that most analyses were performed at the national rather than individual patient level and that the quality of laboratory testing may vary between countries.

conclusionsIn this study, the prevalence of Hr-TB among TB patients was higher than the prevalence of rifampicin resistance globally. Many patients with Hr-TB would be missed by current diagnostic algorithms driven by rifampicin testing, highlighting the need for new rapid molecular technologies to ensure access to appropriate treatment and care. The low prevalence of resistance to pyrazinamide and fluoroquinolones among patients with Hr-TB provides further justification for the recommended modified treatment regimen.

Indexed as

Data AnalysisGenetic ProfileInternationalityAntitubercular AgentsCross-Sectional StudiesHumansIsoniazidPrevalenceTuberculosis, Multidrug-ResistantWhole Genome SequencingAntitubercular AgentsIsoniazid

Identifiers

PMID31961877
PMCPMC6974034
OpenAlexW3001283688

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.