Evidence map›Paper›PMID 34737588›Full record

ArticleInfection and drug resistance2021

Predictors and Trends of MDR/RR-TB in Shenzhen China: A Retrospective 2012-2020 Period Analysis.

Ji Lecai, Peierdun Mijiti, Hong Chuangyue, Li Mingzhen, Gao Qian, Tan Weiguo, Chen Jihong

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

17 citing papers in PubMed, 23 citations in OpenAlex.

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  12. Whole-genome sequencing reveals transmission pattern and drug resistance ofFrontiers in cellular and infection microbiology · 2024
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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

7 authors at 3 institutions in 1 country.

Ji Lecai *Department of Nephrology, Affiliated Bao'an Hospital of Shenzhen, The Second School of Clinical Medicine, Southern Medical University, Shenzhen, Guangdong, 518101, People's Republic of China.
Peierdun Mijiti *The Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Science, Fudan University, Shanghai, 200032, People's Republic of China.
Hong ChuangyueDepartment of Tuberculosis, Shenzhen Center for Chronic Disease Control, Shenzhen, 518000, Guangdong, People's Republic of China.
Li MingzhenDepartment of Tuberculosis, Shenzhen Center for Chronic Disease Control, Shenzhen, 518000, Guangdong, People's Republic of China.
Gao QianThe Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Science, Fudan University, Shanghai, 200032, People's Republic of China.
Tan WeiguoDepartment of Tuberculosis, Shenzhen Center for Chronic Disease Control, Shenzhen, 518000, Guangdong, People's Republic of China.
Chen JihongDepartment of Nephrology, Affiliated Bao'an Hospital of Shenzhen, The Second School of Clinical Medicine, Southern Medical University, Shenzhen, Guangdong, 518101, People's Republic of China.
Shenzhen Nanshan Center for Chronic Disease Control · CNFudan University · CNSouthern Medical University Shenzhen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe analyzed the trends and predictors of multidrug-resistant (MDR) or rifampicin-resistant (RR) tuberculosis (TB) in culture-positive cases in Shenzhen during 2012-2020, after the implementation of improved strategies (scale-up molecular drug susceptibility testing [mDST], expansion of DST eligibility, and generous reimbursement of MDR-TB outpatient care costs). MATERIALS AND

methodsWe retrospectively extracted and analyzed data from the TB Information System on drug-resistant pulmonary tuberculosis diagnosed in Shenzhen during the 2012-2020 period. We analyzed trends in RR- and MDR-TB rates in new cases during 2012-2018 and 2018-2020 periods, and among previously-treated cases during 2012-2017 and 2017-2020 periods, using Cochran-Armitage tests. We generated multivariate logistic regression models to analyze demographic predictors of MDR/RR-TB rates.

resultsWe found 21,367 positive mycobacterial cultures in Shenzhen during the 2012-2020 period, and 19,951 (93.4%) were identified as

conclusionDuring the study period in Shenzhen, the cases of MDR/RR-TB were detected, and the treatment enrollment increased and the MDR-TB rates decreased gradually after 2017. Decreasing trends may reflect the efficacy of improved strategies; however, their long-term impact on the MDR-TB burden remains to be investigated. The predictors of MDR-TB identified in our study should be considered when developing targeted MDR-TB control strategies.

Indexed as

2012–2020MDR/RR-TBpredictorsShenzhentrend

Identifiers

PMID34737588
PMCPMC8558316
OpenAlexW3210493063

What OpenQuestion holds

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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.