Evidence map›Paper›PMID 32104686›Full record

Trial reportBioMed research international2020

Longitudinal Analysis of Prevalence and Risk Factors of Rifampicin-Resistant Tuberculosis in Zhejiang, China.

Zhengwei Liu, Mingwu Zhang, Jianmei Wang, Songhua Chen, Beibei Wu, Lin Zhou, Aizhen Pan, Weibing Wang, Xiaomeng Wang

Abstract readClinical Trial
In one paragraph

Trial report in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Sentinel-Site-Based Surveillance ofAntibiotics (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Whole-Genome Sequencing to PredictAntibiotics (Basel, Switzerland) · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Analysis of drug resistance and mutation profiles inThe Journal of international medical research · 2021
    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

9 authors.

Zhengwei LiuThe Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang, China.ORCID https://orcid.org/0000-0002-5139-659X
Mingwu ZhangThe Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang, China.
Jianmei WangDepartment of Epidemiology, Fudan University, Shanghai, China.
Songhua ChenThe Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang, China.
Beibei WuThe Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang, China.
Lin ZhouThe Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang, China.
Aizhen PanThe Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang, China.
Weibing WangDepartment of Epidemiology, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-4497-5251
Xiaomeng WangThe Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang, China.ORCID https://orcid.org/0000-0002-2409-2419

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the factors associated with rifampicin-resistant tuberculosis among drug resistant tuberculosis patients and to determine the correlation of rifampicin-resistant TB with MDR-TB in a high MDR-TB burden province of china.

methodsA retrospective longitudinal analysis on four surveys of anti-TB drug resistance done in 1998, 2003, 2008, and 2013 in Zhejiang province, China. 4289 sputum-smear microscopy positive suspected tuberculosis patients were eligible at 30 investigation points, chosen by stratified random sampling at survey sites from all over the province. Culturing samples in L-J medium and the drug-susceptibility testing for the 4 first-line anti-TB drugs were performed to all patients. Multivariate logistic regression was carried out to determine the factors associated with the rifampicin-resistance in the study population.

resultsOverall, there were 3832 patients with positive mycobacterial cultures, and 2813 of the isolates (73.4%) were susceptible to all 4 first-line drugs. Analysis of rifampin monoresistant (RMR) TB indicated the prevalence was 1.1% in new cases and 3.4% in previously treated cases. Among the 359 rifampicin resistant TB (RR-TB) cases, 279 (77.7%) were also resistant to isoniazid, indicating MDR-TB. From 1998 to 2013, the proportion of MDR-TB among rifampicin-resistant TB cases varied between 80.0% and 87.5% (P for trend: 0.768) among previously treated cases and varied from 68.6% to 79.5% (P for trend: 0.403) among new cases. Among previously treated patients, those who received treatment for less than 6 months were less likely to have drug resistant TB (OR: 0.40, 95% CI: 0.16-0.97) or MDR-TB (OR: 0.24, 95% CI: 0.07-0.81). Patients who received anti-TB treatment in a general hospital were less likely to develop MDR-TB than those treated in a TB clinic (OR: 0.08, 95% CI: 0.01-0.72).

conclusionThis study highlights a high proportion of RMR-TB among new RR-TB cases in Zhejiang, China. The management of treatment with rapid and accurate diagnosis of MDR-TB other than only relying on RIF susceptibility testing is crucial for improving adherence and outcomes in patients with drug-resistant TB.

Indexed as

Mycobacterium tuberculosisRifampinAdolescentAdultChinaFemaleHumansLongitudinal StudiesMaleMicrobial Sensitivity TestsMiddle AgedPrevalenceRetrospective StudiesSputumTuberculosis, Multidrug-ResistantTuberculosis, PulmonaryRifampin

Identifiers

PMID32104686
PMCPMC7037975

What OpenQuestion holds

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LicenceCC BY
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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.