Evidence map›Paper›PMID 27246779›Full record

ArticleAntimicrobial agents and chemotherapy2016

Determination of MIC Breakpoints for Second-Line Drugs Associated with Clinical Outcomes in Multidrug-Resistant Tuberculosis Treatment in China.

Xubin Zheng, Rongrong Zheng, Yi Hu, Jim Werngren, Lina Davies Forsman, Mikael Mansjö, Biao Xu, Sven Hoffner

Open access · bronzeAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.1field-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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Non-commercial phenotypic assays for the detection of Mycobacterium tuberculosis drug resistance: a systematic review.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020
    Pooled it
  2. Article
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  6. Exploration of Clinical Breakpoint of Danofloxacin forAntibiotics (Basel, Switzerland) · 2021
    Article
  7. Prudent Use of Tylosin for Treatment ofFrontiers in microbiology · 2021
    Article
  8. Article
  9. Article
  10. Drug-Penetration Gradients Associated with Acquired Drug Resistance in Patients with Tuberculosis.American journal of respiratory and critical care medicine · 2018
    Article
  11. Antimicrobial agents and chemotherapy · 2018
    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

8 authors at 4 institutions in 2 countries.

Xubin ZhengDepartment of Epidemiology, School of Public Health, Fudan University, and Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Shanghai, China.
Rongrong ZhengXiamen Center for Disease Control and Prevention, Fujian Province, China.
Yi HuDepartment of Epidemiology, School of Public Health, Fudan University, and Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Shanghai, China Department of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institutet, Solna, Sweden yhu@fudan.edu.cn.
Jim WerngrenDepartment of Microbiology, the Public Health Agency of Sweden, Solna, Sweden.
Lina Davies ForsmanUnit of Infectious Diseases, Department of Medicine, Karolinska Institutet, Stockholm, Sweden Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden.ORCID 0000-0001-8885-3320
Mikael MansjöDepartment of Microbiology, the Public Health Agency of Sweden, Solna, Sweden.
Biao XuDepartment of Epidemiology, School of Public Health, Fudan University, and Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Shanghai, China.
Sven HoffnerDepartment of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institutet, Solna, Sweden Department of Microbiology, the Public Health Agency of Sweden, Solna, Sweden.
Fudan University · CNPublic Health Agency of Sweden · SEKarolinska University Hospital · SEXian Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our study aims to identify the clinical breakpoints (CBPs) of second-line drugs (SLDs) above which standard therapy fails in order to improve multidrug-resistant tuberculosis (MDR-TB) treatment. MICs of SLDs were determined for M. tuberculosis isolates cultured from 207 MDR-TB patients in a prospective cohort study in China between January 2010 and December 2012. Classification and regression tree (CART) analysis was used to identify the CBPs predictive of treatment outcome. Of the 207 MDR-TB isolates included in the present study, the proportion of isolates above the critical concentration recommended by WHO ranged from 5.3% in pyrazinamide to 62.8% in amikacin. By selecting pyrazinamide as the primary node (CBP, 18.75 mg/liter), 72.1% of sputum culture conversions at month four could be predicted. As for treatment outcome, pyrazinamide (CBP, 37.5 mg/liter) was selected as the primary node to predict 89% of the treatment success, followed by ofloxacin (CBP, 3 mg/liter), improving the predictive capacity of the primary node by 10.6%. Adjusted by identified confounders, the CART-derived pyrazinamide CBP remained the strongest predictor in the model of treatment outcome. Our findings indicate that the critical breakpoints of some second-line drugs and PZA need to be reconsidered in order to better indicate MDR-TB treatment outcome.

Indexed as

AdolescentAdultAgedAmikacinAntitubercular AgentsChinaDrug Therapy, CombinationFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedMycobacterium tuberculosisOfloxacinProspective StudiesPyrazinamideAmikacinAntitubercular AgentsOfloxacinPyrazinamide

Identifiers

PMID27246779
PMCPMC4958164
OpenAlexW2503937174

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.