Evidence map›Paper›PMID 32682446›Full record

ArticleInfectious diseases of poverty2020

Treatment quality and outcome for multidrug-resistant tuberculosis patients in four regions of China: a cohort study.

Xu-Bin Zheng, Vinod K Diwan, Qi Zhao, Yi Hu, Judith Bruchfeld, Wei-Li Jiang, Sven Hoffner, Biao Xu

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.2field-weighted citation impact, top 33% 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, 14 citations in OpenAlex.

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  15. Relapse or Re-Infection, the Situation of Recurrent Tuberculosis in Eastern China.Frontiers in cellular and infection microbiology · 2021
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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 3 institutions in 2 countries.

Xu-Bin ZhengDepartment of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, 130 Dong An Road, Shanghai, 200032, China.
Vinod K DiwanDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Qi ZhaoDepartment of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, 130 Dong An Road, Shanghai, 200032, China.
Yi HuDepartment of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, 130 Dong An Road, Shanghai, 200032, China.
Judith BruchfeldDepartment of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden.
Wei-Li JiangDepartment of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, 130 Dong An Road, Shanghai, 200032, China.
Sven HoffnerDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Biao XuDepartment of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, 130 Dong An Road, Shanghai, 200032, China. bxu@shmu.edu.cn.ORCID http://orcid.org/0000-0001-8695-7396
Fudan University · CNKarolinska Institutet · SEKarolinska University Hospital · SE

Funding

the Swedish Research Council and the National Natural Science Foundation of China joint project (VR-NSFC) 540-2013-8797the Swedish Research Council and the National Natural Science Foundation of China joint project (VR-NSFC) 81361138019
6 · The paper itself

Abstract

backgroundChina incurs an extremely low treatment coverage of multidrug-resistant tuberculosis (MDR-TB). This study aimed to understand the experience of MDR-TB patients on quality of health care, and the clinical impact through an up to six-year follow-up.

methodsCohorts of MDR-TB patients were built in TB/MDR-TB designated hospitals in four regions of China from 2014 to 2015. Patients were followed up during treatment course, and yearly confirmation afterward until 2019. Delay in MDR-TB diagnosis and treatment was calculated upon bacteriological confirmation and treatment initiation. Risk factors for unfavourable outcomes were identified by multivariate logistic regression.

resultsAmong 1168 bacteriological-positive TB patients identified from a 12-million population, 58 (5.0%) MDR-TB cases were detected. The median delay for MDR-TB diagnosis was 90.0 days, with 13.8% having a delay above 180.0 days. MDR-TB treatment was only recommended to 19 (32.8%) participants, while the rest continued with regimen for drug-susceptible TB. In MDR-TB treatment group, 36.8% achieved treatment success, while the others had incomplete treatment (21.1%), loss to follow-up (36.8%) and TB relapse (5.3%). For non-MDR-TB treatment group, 33.3% succeeded, 25.6% relapsed, 2.6% failed, 23.1% died, and 15.4% were lost to follow-up. Overall, only 35.7% (20/56) of detected MDR-TB patients had favourable outcomes and higher education level was positively associated with it (adjusted odds ratio [aOR]: 3.60, 95% confidence interval [CI]: 1.04-12.5).

conclusionsA large proportion of patients did not receive MDR-TB treatment and had unfavourable outcomes. Delayed MDR-TB diagnosis resulted in poor quality of MDR-TB care. Rapid diagnosis, regulated patient management and high-quality MDR-TB treatment should be enhanced in China.

Indexed as

AdultAgedAged, 80 and overAntitubercular AgentsChinaFemaleFollow-Up StudiesHumansMaleMiddle AgedMycobacterium tuberculosisRisk FactorsTreatment OutcomeTuberculosis, Multidrug-ResistantYoung AdultAntitubercular AgentsChinaDelayFollow-upMultidrug-resistantTreatmentTuberculosis

Identifiers

PMID32682446
PMCPMC7368741
OpenAlexW3042647936

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.