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What Is Resistance? Impact of Phenotypic versus Molecular Drug Resistance Testing on Therapy for Multi- and Extensively Drug-Resistant Tuberculosis

Overview of attention for article published in Antimicrobial Agents and Chemotherapy, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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1 news outlet
policy
1 policy source
twitter
4 X users

Citations

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86 Dimensions

Readers on

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200 Mendeley
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2 CiteULike
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Title
What Is Resistance? Impact of Phenotypic versus Molecular Drug Resistance Testing on Therapy for Multi- and Extensively Drug-Resistant Tuberculosis
Published in
Antimicrobial Agents and Chemotherapy, January 2018
DOI 10.1128/aac.01550-17
Pubmed ID
Authors

Jan Heyckendorf, Sönke Andres, Claudio U. Köser, Ioana D. Olaru, Thomas Schön, Erik Sturegård, Patrick Beckert, Viola Schleusener, Thomas A. Kohl, Doris Hillemann, Danesh Moradigaravand, Julian Parkhill, Sharon J. Peacock, Stefan Niemann, Christoph Lange, Matthias Merker

Abstract

Rapid and accurate drug-susceptibility testing (DST) is essential for the treatment of multi- and extensively drug-resistant tuberculosis (M/XDR-TB). We compared the utility of genotypic DST assays with phenotypic DST (pDST) using BACTEC 960 MGIT or Löwenstein-Jensen to construct M/XDR-TB treatment regimens for a cohort of 25 consecutive M/XDR-TB patients and 15 possible anti-TB drugs.Genotypic DST results from Cepheid GeneXpert MTB/RIF (Xpert) and line probe assays (LPAs: Hain GenoType MTBDRplus 2.0 and MTBDRsl 2.0)] and whole genome sequencing (WGS) were translated into individual algorithm-derived treatment regimens for each patient. We further analysed if discrepancies between the various methods were due to flaws in the genotypic or phenotypic test using MIC results.Compared with pDST, the average agreement in the number of drugs prescribed in 'genotypic' regimens ranged from just 49% (95% CI 39-59%) for Xpert and 63% (95% CI 56-70%) for LPAs to 93% (95% CI 88-98%) for WGS. Only the WGS regimens did not comprise any drugs to which pDST showed resistance. Importantly, MIC testing revealed that pDST likely underestimated the true rate of resistance for key drugs (rifampicin, levofloxacin, moxifloxacin, and kanamycin) because critical concentrations (CCs) were too high.WGS can be used to rule-in resistance even in M/XDR strains with complex resistance patterns, but pDST for some drugs is still needed to confirm susceptibility and construct the final regimens. Some CCs for pDST need to be re-examined to avoid systematic false-susceptible results in low-level resistant isolates.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 200 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 18%
Student > Master 30 15%
Student > Ph. D. Student 19 10%
Other 14 7%
Student > Postgraduate 12 6%
Other 34 17%
Unknown 56 28%
Readers by discipline Count As %
Medicine and Dentistry 35 18%
Biochemistry, Genetics and Molecular Biology 33 17%
Immunology and Microbiology 18 9%
Agricultural and Biological Sciences 15 8%
Computer Science 6 3%
Other 26 13%
Unknown 67 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 April 2022.
All research outputs
#2,418,868
of 25,382,440 outputs
Outputs from Antimicrobial Agents and Chemotherapy
#1,213
of 15,580 outputs
Outputs of similar age
#54,395
of 450,298 outputs
Outputs of similar age from Antimicrobial Agents and Chemotherapy
#35
of 216 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,580 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 450,298 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 216 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.