Evidence map›Paper›PMID 29017248›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2017

Fluoroquinolone Resistance Mutation Detection Is Equivalent to Culture-Based Drug Sensitivity Testing for Predicting Multidrug-Resistant Tuberculosis Treatment Outcome: A Retrospective Cohort Study.

Maha R Farhat, Karen R Jacobson, Molly F Franke, Devinder Kaur, Megan Murray, Carole D Mitnick

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04434976 (Delayed Diagnosis of Bacteriologically Positive Pulmonary Tuberculosis and Relative Optimized Suggestions in China), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 19% 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.

NCT04434976 completednot on this mapstarted 2019, after this paper: background citation

Delayed Diagnosis of Bacteriologically Positive Pulmonary Tuberculosis and Relative Optimized Suggestions in China

TypeobservationalSponsorHuashan HospitalRan2019 to 2020Enrolled400ConditionsTuberculosis, Pulmonary, Confirmed, Unspecified Means
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
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  11. Overexpression ofInternational journal of microbiology · 2021
    Article
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  15. Tuberculosis drug resistance profiling based on machine learning: A literature review.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    Review
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

6 authors at 6 institutions in 1 country.

Maha R FarhatDepartment of Biomedical Informatics, Harvard Medical School.
Karen R JacobsonSection of Infectious Diseases, Boston University School of Medicine.
Molly F FrankeDepartment of Global Health and Social Medicine, Harvard Medical School.
Devinder KaurUniversity of Massachusetts Medical School, Massachusetts Supranational Tuberculosis Reference Laboratory.
Megan MurrayDepartment of Global Health and Social Medicine, Harvard Medical School.
Carole D MitnickDepartment of Global Health and Social Medicine, Harvard Medical School.
Boston University · USBrigham and Women's Hospital · USHarvard Global Health Institute · USHarvard University · USMassachusetts General Hospital · USUniversity of Massachusetts Chan Medical School · US

Funding

Sequencing CoreU19AI109755 · NIAID · HARVARD MEDICAL SCHOOL · PI CHANDLER, DARRELL P, CULHANE, AEDIN C · 2014 to 2018
$29.1M
New Tools for the interpretation of Pathogen Genomic Data with a focus on Mycobacterium tuberculosisK01ES026835 · NIEHS · MASSACHUSETTS GENERAL HOSPITAL · PI FARHAT, MAHA · 2015 to 2019
$1.1M
NIAID NIH HHS U19 AI109755NIEHS NIH HHS K01 ES026835
6 · The paper itself

Abstract

backgroundMolecular diagnostics that rapidly and accurately predict fluoroquinolone (FQ) resistance promise to improve treatment outcomes for individuals with multidrug-resistant (MDR) tuberculosis (TB). Mutations in the gyr genes, though, can cause variable levels of in vitro FQ resistance, and some in vitro resistance remains unexplained by gyr mutations alone, but the implications of these discrepancies for treatment outcome are unknown.

methodsWe performed a retrospective cohort study of 172 subjects with MDR/extensively drug-resistant TB subjects and sequenced the full gyrA and gyrB open reading frames in their respective sputum TB isolates. The gyr mutations were classified into 2 categories: a set of mutations that encode high-level FQ resistance and a second set that encodes intermediate resistance levels. We constructed a Cox proportional model to assess the effect of the gyr mutation type on the time to death or treatment failure and compared this with in vitro FQ resistance, controlling for host and treatment factors.

resultsControlling for other host and treatment factors and compared with patients with isolates without gyr resistance mutations, "high-level" gyr mutations significantly predict poor treatment outcomes with a hazard ratio of 2.6 (1.2-5.6). We observed a hazard of death and treatment failure with "intermediate-level" gyr mutations of 1.3 (0.6-3.1), which did not reach statistical significance. The gyr mutations were not different than culture-based FQ drug susceptibility testing in predicting the hazard of death or treatment failure and may be superior.

conclusionsFQ molecular-based diagnostic tests may better predict treatment response than traditional drug susceptibility testing and open avenues for personalizing TB therapy.

Indexed as

Mycobacterium tuberculosisTuberculosis, Multidrug-ResistantAdultAntitubercular AgentsDrug Resistance, BacterialFemaleFluoroquinolonesGenes, BacterialHumansMaleMicrobial Sensitivity TestsMolecular TypingReproducibility of ResultsRetrospective StudiesTreatment OutcomeAntitubercular AgentsFluoroquinolonesfluoroquinolonesgyrMDR-TBMICoutcome

Identifiers

PMID29017248
PMCPMC5850426
OpenAlexW2744637502

What OpenQuestion holds

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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.