Evidence map›Paper›PMID 35465240›Full record

ArticleJAC-antimicrobial resistance2022

Whole genome sequencing-based drug resistance predictions of multidrug-resistant

Peter M Mbelele, Christian Utpatel, Elingarami Sauli, Emmanuel A Mpolya, Beatrice K Mutayoba, Ivan Barilar, Viola Dreyer, Matthias Merker, Margaretha L Sariko, Buliga M Swema and 8 more

Open access · goldAbstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Genomic characterization of drug-resistantFrontiers in tuberculosis · 2026
    Article
  5. Article
  6. Review
  7. 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

18 authors at 7 institutions in 4 countries.

Peter M MbeleleKibong'oto Infectious Diseases Hospital (KIDH), Siha, Kilimanjaro, Tanzania.
Christian UtpatelMolecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.
Elingarami SauliDepartment of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania.
Emmanuel A MpolyaDepartment of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania.ORCID https://orcid.org/0000-0002-6210-9445
Beatrice K MutayobaMinistry of Health, National AIDS Control Program, Department of Preventive Services, Dodoma, Tanzania.
Ivan BarilarMolecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.
Viola DreyerMolecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.
Matthias MerkerMolecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.
Margaretha L SarikoKilimanjaro Clinical Research Institute, Moshi, Tanzania.
Buliga M SwemaKilimanjaro Clinical Research Institute, Moshi, Tanzania.
Blandina T MmbagaKilimanjaro Clinical Research Institute, Moshi, Tanzania.
Jean GratzDivision of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA.
Kennedy K AddoDepartment of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Michel PletschetteCIHLMU Center for International Health, University Hospital, LMU Munich, Germany.
Stefan NiemannMolecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.
Eric R HouptDivision of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA.
Stellah G MpagamaKibong'oto Infectious Diseases Hospital (KIDH), Siha, Kilimanjaro, Tanzania.
Scott K HeysellDivision of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA.
Kilimanjaro Christian Medical Centre · TZGerman Center for Infection Research · DEUniversity of Virginia · USLudwig-Maximilians-Universität München · DENelson Mandela African Institution of Science and Technology · TZResearch Center Borstel - Leibniz Lung Center · DEUniversity of Ghana · GH

Funding

Diagnostics and Pharmacotherapy for Severe Forms of TBU01AI115594 · NIAID · UNIVERSITY OF VIRGINIA · PI HEYSELL, SCOTT K, HOUPT, ERIC R · 2015 to 2019
$3.0M
Developing research leaders at the intersection of malnutrition and tuberculosis in TanzaniaD43TW012247 · FIC · UNIVERSITY OF VIRGINIA · PI Scott K Heysell, STELLAH GEORGE MPAGAMA · 2022 to 2026
$1.4M
FIC NIH HHS D43 TW012247NIAID NIH HHS U01 AI115594Wellcome Trust
6 · The paper itself

Abstract

Background: Rifampicin- or multidrug-resistant (RR/MDR) Methods: We compared WGS-based drug resistance-predictive mutations for 42 MTBC isolates from MDR-TB patients in Tanzania with the MICs of 14 antibiotics measured in the Sensititre™ MycoTB assay. An isolate was phenotypically categorized as resistant if it had an MIC above the epidemiological-cut-off (ECOFF) value, or as susceptible if it had an MIC below or equal to the ECOFF. Results: Overall, genotypically non-wild-type MTBC isolates with high-level resistance mutations (gNWT-R) correlated with isolates with MIC values above the ECOFF. For instance, the median MIC value (mg/L) for rifampicin-gNWT-R strains was >4.0 (IQR 4.0-4.0) compared with 0.5 (IQR 0.38-0.50) in genotypically wild-type (gWT-S, Conclusions: WGS-based drug resistance prediction worked well to rule-in phenotypic drug resistance and the absence of second-line drug resistance-mediating mutations has the potential to guide the design of RR/MDR-TB regimens in the future.

Identifiers

PMID35465240
PMCPMC9021016
OpenAlexW4224528553

What OpenQuestion holds

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LicenceCC BY-NC
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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.