Evidence map›Paper›PMID 32070292›Full record

ArticleBMC infectious diseases2020

Effect of the Xpert MTB/RIF on the detection of pulmonary tuberculosis cases and rifampicin resistance in Shanghai, China.

Zheyuan Wu, Zulma Vanessa Rueda, Tao Li, Zurong Zhang, Yuan Jiang, Wei Sha, Fangyou Yu, Jing Chen, Qichao Pan, Xin Shen and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.5field-weighted citation impact, top 22% 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

18 citing papers in PubMed, 33 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

11 authors at 4 institutions in 2 countries.

Zheyuan WuDepartment of Tuberculosis Control, Shanghai Municiple Center for Disease Control and Prevention, Shanghai, China.
Zulma Vanessa RuedaUniversidad Pontificia Bolivariana, Medellín, Colombia.
Tao LiChinese Center for Disease Control and Prevention, Beijing, China.
Zurong ZhangDepartment of Tuberculosis Control, Shanghai Municiple Center for Disease Control and Prevention, Shanghai, China.
Yuan JiangLaboratory of Tuberculosis Diagnosis, Shanghai Municiple Center for Disease Control and Prevention, Shanghai, China.
Wei ShaShanghai Key Laboratory of Tuberculosis, Clinic and Research Center of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Fangyou YuDepartment of Clinical Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Jing ChenDepartment of Tuberculosis Control, Shanghai Municiple Center for Disease Control and Prevention, Shanghai, China.
Qichao PanShanghai Municiple Center for Disease Control and Prevention, Shanghai, China.
Xin ShenDepartment of Tuberculosis Control, Shanghai Municiple Center for Disease Control and Prevention, Shanghai, China.
Zheng'an YuanShanghai Municiple Center for Disease Control and Prevention, Shanghai, China. yuanzhengan@scdc.sh.cn.
Shanghai Municipal Center For Disease Control Prevention · CNTongji University · CNChinese Center For Disease Control and Prevention · CNUniversidad Pontificia Bolivariana · CO

Funding

Ministry of Science and Technology of the People's Republic of China 2017YFD0500301Ministry of Science and Technology of the People's Republic of China 2017ZX10201302-006-002Ministry of Science and Technology of the People's Republic of China 2018ZX10715012National Natural Science Foundation of China 81872679
6 · The paper itself

Abstract

backgroundXpert MTB/RIF (Xpert) is an automated molecular test recommended by World Health Organization (WHO) for diagnosis of tuberculosis (TB). This study evaluated the effect of Xpert implementation on the detection of pulmonary TB (PTB) and rifampicin-resistant TB (RR-TB) cases in Shanghai, China.

methodsXpert was routinely implemented in 2018 for all presumptive PTB patients. All PTB patients above 15 years-old identified within the Provincial TB Control Program during the first half of each of 2017 and 2018, were enrolled to compare the difference in proportions of bacteriological confirmation, patients with drug susceptibility test (DST) results for rifampicin (ie, DST coverage) and RR-TB detection before and after Xpert's implementation.

resultsA total of 6047 PTB patients were included in the analysis with 1691 tested by Xpert in 2018. Percentages of bacteriological confirmation, DST coverage and RR-TB detection in 2017 and 2018 were 50% vs. 59%, 36% vs. 49% and 2% vs. 3%, respectively (all p-values < 0.05). Among 1103 PTB patients who completed sputum smear, culture and Xpert testing in 2018, Xpert detected an additional 121 (11%) PTB patients who were negative by smear and culture, but missed 248 (23%) smear and/or culture positive patients. Besides, it accounted for an increase of 9% in DST coverage and 1% in RR-TB detection. The median time from first visit to a TB hospital to RR-TB detection was 62 days (interquartile range -IQR 48-84.2) in 2017 vs. 9 days (IQR 2-45.7) in 2018 (p-value < 0.001). In the multivariate model, using Xpert was associated with decreased time to RR-TB detection (adjusted hazard ratio = 4.62, 95% confidence interval: 3.18-6.71).

conclusionsIntegrating Xpert with smear, culture and culture-based DST in a routine setting significantly increased bacteriological confirmation, DST coverage and RR-TB detection with a dramatic reduction in the time to RR-TB diagnosis in Shanghai, China. Our findings can be useful for other regions that attempt to integrate Xpert into routine PTB and RR-TB case-finding cascade. Further study should focus on the identification and elimination of operational level challenges to fully utilize the benefit of rapid diagnosis by Xpert.

Indexed as

AdultAntitubercular AgentsBacteriological TechniquesChinaCross-Sectional StudiesDrug Resistance, BacterialFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedMycobacterium tuberculosisRifampinSensitivity and SpecificitySputumTuberculosis, PulmonaryAntitubercular AgentsRifampinDelayRifampicin resistantSORT ITTBTuberculosisXpert MTB/RIF

Identifiers

PMID32070292
PMCPMC7029590
OpenAlexW3012216007

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.