Evidence map›Paper›PMID 36523585›Full record

ArticleFrontiers in public health2022

Drug resistance patterns and dynamics of tuberculosis in Zhejiang Province, China: Results from five periodic longitudinal surveys.

Lin Zhou, Beibei Wu, Fei Huang, Zhengwei Liu, Fei Wang, Mingwu Zhang, Bin Chen, Songhua Chen, Xiaomeng Wang, Yanlin Zhao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 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
0.7field-weighted citation impact, top 29% 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, 7 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Lin ZhouProvincial Center for TB control and prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Beibei WuProvincial Center for TB control and prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Fei HuangNational Center for TB control and prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhengwei LiuProvincial Center for TB control and prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Fei WangProvincial Center for TB control and prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Mingwu ZhangProvincial Center for TB control and prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Bin ChenProvincial Center for TB control and prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Songhua ChenProvincial Center for TB control and prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Xiaomeng WangProvincial Center for TB control and prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Yanlin ZhaoNational Center for TB control and prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhejiang Center for Disease Control and Prevention · CNChinese Center For Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As one of the high multi-drug resistance tuberculosis countries, it is critical for China to understand patterns of drug resistance to better formulate effective treatment regimens. Methods: The anti-TB Drug resistance surveillance has been conducted in Zheijang Province in years 1999, 2004, 2008, 2013, and 2018 respectively. We compared the prevalence of DR-TB from the latest survey with that of the previous four surveys in terms of all four first-line anti-TB drugs. We also examined the prevalence of rifampin-resistant TB (RR-TB) between the last two surveys and routine surveillance data. Results: Among 996 patients surveyed in 2018, the prevalence of RR-TB in new and previously treated TB cases was 2.5 and 4.3%, respectively. The prevalence of RR-TB among previously treated cases was much higher than for new cases in the four surveys from 1999 to 2013, while there was no significant difference between these groups in the 2018 survey. The percentage of TB cases resistant to fluoroquinolones in new patients was 3.8%. The prevalence of non-tuberculous mycobacteria increased over time; the prevalence of RR-TB among new cases slowly decreased. The prevalence of RR-TB in both new and previously treated TB cases from the latest two surveys was consistent with routine surveillance data. Conclusions: This consistency between routine surveillance and periodic surveys for TB cases implies that with universal testing in Zhejiang Province, data from routine surveillance could be used instead of periodic surveys to improve access to timely and appropriate treatment for DR-TB. Levels of resistance were lower than whole-country and global estimates, further indicating the value of universal drug susceptibility testing.

Indexed as

Mycobacterium tuberculosisTuberculosisAntitubercular AgentsChinaDrug ResistanceHumansLongitudinal StudiesMicrobial Sensitivity TestsRifampinAntitubercular AgentsRifampinChinadrugresistancesurveytuberculosis

Identifiers

PMID36523585
PMCPMC9745021
OpenAlexW4310183415

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.