Evidence map›Paper›PMID 23006760›Full record

ReviewAntimicrobial agents and chemotherapy2012

Importance of the genetic diversity within the Mycobacterium tuberculosis complex for the development of novel antibiotics and diagnostic tests of drug resistance.

Claudio U Köser, Silke Feuerriegel, David K Summers, John A C Archer, Stefan Niemann

Open access · bronzeAbstract readReview
In one paragraph

Review in Antimicrobial agents and chemotherapy, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

39 citing papers in PubMed, 65 citations in OpenAlex.

  1. Performance of direct detection ofMicrobiology spectrum · 2025
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  8. Transcriptional regulation and drug resistance inFrontiers in cellular and infection microbiology · 2022
    Review
  9. Low-Level Rifampin Resistance andJournal of clinical microbiology · 2021
    Article
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  11. Model-based integration of genomics and metabolomics reveals SNP functionality inProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
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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

5 authors at 3 institutions in 3 countries.

Claudio U KöserDepartment of Medicine, University of Cambridge, Cambridge, UK. cuk21@cam.ac.uk
Silke Feuerriegel
David K Summers
John A C Archer
Stefan Niemann
Research Center Borstel - Leibniz Lung Center · DEUniversity of Cambridge · GBKing Abdullah University of Science and Technology · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite being genetically monomorphic, the limited genetic diversity within the Mycobacterium tuberculosis complex (MTBC) has practical consequences for molecular methods for drug susceptibility testing and for the use of current antibiotics and those in clinical trials. It renders some representatives of MTBC intrinsically resistant against one or multiple antibiotics and affects the spectrum and consequences of resistance mutations selected for during treatment. Moreover, neutral or silent changes within genes responsible for drug resistance can cause false-positive results with hybridization-based assays, which have been recently introduced to replace slower phenotypic methods. We discuss the consequences of these findings and propose concrete steps to rigorously assess the genetic diversity of MTBC to support ongoing clinical trials.

Indexed as

AnimalsAntitubercular AgentsData Interpretation, StatisticalDrug Resistance, BacterialGenotypeHumansMicrobial Sensitivity TestsMycobacterium tuberculosisTuberculosisAntitubercular Agents

Identifiers

PMID23006760
PMCPMC3497208
OpenAlexW2107930179

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.