Evidence map›Paper›PMID 25689373›Full record

ArticlePloS one2015

The burden of MDR/XDR tuberculosis in coastal plains population of China.

Xiujun Yang, Yanli Yuan, Yu Pang, Bo Wang, Yunlong Bai, Yanhua Wang, Baozhu Yu, Zhiying Zhang, Ming Fan, Yanlin Zhao

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 23% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Epidemiology of extensively drug-resistant tuberculosis among patients with multidrug-resistant tuberculosis: A systematic review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2023
    Pooled it
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  8. External quality control of phenotypic drug susceptibility testing for Mycobacterium tuberculosis in China.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020
    Article
  9. Prevalence of drug-resistant tuberculosis in Zimbabwe: A health facility-based cross-sectional survey.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2019
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  12. Association of Immune Factors with Drug-Resistant Tuberculosis: A Case-Control Study.Medical science monitor : international medical journal of experimental and clinical research · 2017
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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 1 institution in 1 country.

Xiujun YangJilin Province Center for Disease Control and Prevention, Changchun, China.
Yanli YuanJilin Province Center for Disease Control and Prevention, Changchun, China.
Yu PangChinese Center for Disease Control and Prevention, Beijing, China.
Bo WangJilin Province Center for Disease Control and Prevention, Changchun, China.
Yunlong BaiJilin Province Center for Disease Control and Prevention, Changchun, China.
Yanhua WangJilin Province Center for Disease Control and Prevention, Changchun, China.
Baozhu YuJilin Province Center for Disease Control and Prevention, Changchun, China.
Zhiying ZhangPATH Office, Beijing, China.
Ming FanJilin Province Center for Disease Control and Prevention, Changchun, China.
Yanlin ZhaoChinese Center for Disease Control and Prevention, Beijing, China.
Chinese Center For Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe conducted a first baseline survey in Jilin Province of China to determine the proportion of drug-resistant tuberculosis (TB), and to analyze risk factors associated with the emergence of drug-resistance. METHODOLOGY/PRINCIPAL

findingsThirty counties in Jilin Province were randomly selected as survey sites using a stratified cluster sampling method. People enrolled in the survey were new and re-treated, smear-positive pulmonary TB patients newly enrolled in local TB control and prevention institutions during the survey period. Sputum samples were collected, and the susceptibility of bacterial strains to anti-TB drugs was analyzed by proportion method. Based on the survey results, we estimated the number of drug-resistant TB patients and analyzed the risk factors associated with the emergence of drug resistance. Of 1,174 new TB patients and 597 re-treated TB patients, 8.6% and 23.2% were multi-drug resistant (MDR)-TB patients, respectively. Approximately 12% of MDR-TB patients were extensively drug-resistant. We estimate that approximately 1,290 new MDR-TB cases develop in Jilin Province every year. Of these, 810 cases would be new patients, and 480 cases would involve re-treated patients. Risk factors associated with MDR-TB include employment status, educational background, and income level. CONCLUSIONS/SIGNIFICANCE: Jilin Province remains one of the highest-burden areas in China for drug-resistant TB. The higher number of MDR-TB among new cases suggested that the transmission of drug-resistant strains in Jilin is an urgent problem in the MDR-TB control and prevention system of Jilin Province. Improving the treatment compliance of TB patients and the quality of medical care in public health institutions is urgently needed.

Indexed as

Antitubercular AgentsChinaDrug Resistance, Multiple, BacterialExtensively Drug-Resistant TuberculosisHumansIncidenceRisk FactorsTuberculosis, Multidrug-ResistantAntitubercular Agents

Identifiers

PMID25689373
PMCPMC4331508
OpenAlexW2015538604

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.