Evidence map›Paper›PMID 27333026›Full record

ArticleEBioMedicine2016

Diagnostic Molecular Mycobacteriology in Regions With Low Tuberculosis Endemicity: Combining Real-time PCR Assays for Detection of Multiple Mycobacterial Pathogens With Line Probe Assays for Identification of Resistance Mutations.

Vanessa Deggim-Messmer, Guido V Bloemberg, Claudia Ritter, Antje Voit, Rico Hömke, Peter M Keller, Erik C Böttger

Abstract read
In one paragraph

Article in EBioMedicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Treatment of Nontuberculous Mycobacterial Pulmonary Disease: An Official ATS/ERS/ESCMID/IDSA Clinical Practice Guideline.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Guideline
  2. Guideline
  3. Article
  4. Efficacy and treatment outcome of infected patients with pulmonaryJournal of clinical tuberculosis and other mycobacterial diseases · 2024
    Review
  5. Review
  6. Detection ofFrontiers in microbiology · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Whole-Genome Sequencing for Drug Resistance Profile Prediction inAntimicrobial agents and chemotherapy · 2019
    Article
  13. Review
  14. Review
  15. Article
  16. Molecular Targets Related Drug Resistance Mechanisms in MDR-, XDR-, and TDR-Frontiers in cellular and infection microbiology · 2018
    Review
  17. Article
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

7 authors.

Vanessa Deggim-MessmerInstitut für Medizinische Mikrobiologie, Universität Zürich, Gloriastrasse 30/32, 8006 Zürich, Switzerland.
Guido V BloembergInstitut für Medizinische Mikrobiologie, Universität Zürich, Gloriastrasse 30/32, 8006 Zürich, Switzerland.
Claudia RitterInstitut für Medizinische Mikrobiologie, Universität Zürich, Gloriastrasse 30/32, 8006 Zürich, Switzerland; Nationales Zentrum für Mykobakterien, Gloriastrasse 30/32, 8006 Zürich, Switzerland.
Antje VoitInstitut für Medizinische Mikrobiologie, Universität Zürich, Gloriastrasse 30/32, 8006 Zürich, Switzerland.
Rico HömkeInstitut für Medizinische Mikrobiologie, Universität Zürich, Gloriastrasse 30/32, 8006 Zürich, Switzerland; Nationales Zentrum für Mykobakterien, Gloriastrasse 30/32, 8006 Zürich, Switzerland.
Peter M KellerInstitut für Medizinische Mikrobiologie, Universität Zürich, Gloriastrasse 30/32, 8006 Zürich, Switzerland; Nationales Zentrum für Mykobakterien, Gloriastrasse 30/32, 8006 Zürich, Switzerland. Electronic address: pkeller@imm.uzh.ch.
Erik C BöttgerInstitut für Medizinische Mikrobiologie, Universität Zürich, Gloriastrasse 30/32, 8006 Zürich, Switzerland; Nationales Zentrum für Mykobakterien, Gloriastrasse 30/32, 8006 Zürich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular assays have not yet been able to replace time-consuming culture-based methods in clinical mycobacteriology. Using 6875 clinical samples and a study period of 35months we evaluated the use of PCR-based assays to establish a diagnostic workflow with a fast time-to-result of 1-2days, for 1. detection of Mycobacterium tuberculosis complex (MTB), 2. detection and identification of nontuberculous mycobacteria (NTM), and 3. identification of drug susceptible MTB. MTB molecular-based detection and culture gave concordant results for 97.7% of the specimens. NTM PCR-based detection and culture gave concordant results for 97.0% of the specimens. Defining specimens on the basis of combined laboratory data as true positives or negatives with discrepant results resolved by clinical chart reviews, we calculated sensitivity, specificity, PPV and NPV for PCR-based MTB detection as 84.7%, 100%, 100%, and 98.7%; the corresponding values for culture-based MTB detection were 86.3%, 100%, 100%, and 98.8%. PCR-based detection of NTM had a sensitivity of 84.7% compared to 78.0% of that of culture-based NTM detection. Molecular drug susceptibility testing (DST) by line-probe assay was found to predict phenotypic DST results in MTB with excellent accuracy. Our findings suggest a diagnostic algorithm to largely replace lengthy culture-based techniques by rapid molecular-based methods.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsDNA ProbesDrug Resistance, BacterialHumansMycobacterium tuberculosisNontuberculous MycobacteriaNucleic Acid HybridizationPhenotypeReal-Time Polymerase Chain ReactionRNA, Ribosomal, 16SSequence Analysis, DNATuberculosisAnti-Bacterial AgentsBacterial ProteinsDNA ProbesRNA, Ribosomal, 16SDrug susceptibilityLine probe assayMycobacterium tuberculosisNontuberculous mycobacteriaReal-time PCR

Identifiers

PMID27333026
PMCPMC4972562

What OpenQuestion holds

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Registered trials

None linked

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.