Evidence map›Paper›PMID 32448123›Full record

ArticleBMC infectious diseases2020

A retrospective study on Xpert MTB/RIF for detection of tuberculosis in a teaching hospital in China.

Shuguang Li, Liyan Lin, Feifei Zhang, Chunjiang Zhao, Han Meng, Hui Wang

Open access · goldAbstract readComparative StudyEvaluation Study
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 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  8. Aptamer Detection ofFrontiers 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

6 authors at 2 institutions in 1 country.

Shuguang LiDepartment of Clinical Laboratory, Peking University People's Hospital, Xizhimen South Avenue No.11, Beijing, 100044, China.
Liyan LinDepartment of Clinical Laboratory, Peking University People's Hospital, Xizhimen South Avenue No.11, Beijing, 100044, China.
Feifei ZhangDepartment of Clinical Laboratory, Peking University People's Hospital, Xizhimen South Avenue No.11, Beijing, 100044, China.
Chunjiang ZhaoDepartment of Clinical Laboratory, Peking University People's Hospital, Xizhimen South Avenue No.11, Beijing, 100044, China.
Han MengDepartment of Clinical Laboratory, Peking University People's Hospital, Xizhimen South Avenue No.11, Beijing, 100044, China.
Hui WangDepartment of Clinical Laboratory, Peking University People's Hospital, Xizhimen South Avenue No.11, Beijing, 100044, China. wanghui@pkuph.edu.cn.
Peking University · CNPeking University People's Hospital · CN

Funding

National Natural Science Foundation of China 81625014
6 · The paper itself

Abstract

backgroundThe Xpert MTB/RIF assay is an automated molecular test that is designed to simultaneously detect Mycobacterium tuberculosis (MTB) complex and rifampin resistance. However, there are relatively few studies on this method in China. Xpert has been routinely used at Peking University People's Hospital (PKUPH) since November 2016. Thus, the aim of this study was to evaluate the performance of Xpert, and provide a reference and guidance for the detection and diagnosis of TB in non-TB specialized hospitals.

methodsThe medical records of inpatients simultaneously tested with Xpert, acid-fast bacilli (AFB) smear microscopy, and interferon-gamma release assay (IGRA, by T-SPOT®.TB) at PKUPH from November 2016 to October 2018 were reviewed. Active TB cases were considered according to a composite reference standard (CRS). Then, the three methods were evaluated and compared.

resultsIn total, 787 patients simultaneously tested with Xpert, AFB, and IGRA were enrolled; among them 11.3% (89/787) were diagnosed and confirmed active pulmonary TB (PTB, 52 cases), extrapulmonary TB (EPTB, 17 cases), and tuberculous pleurisy (TP, 20 cases). The sensitivity of Xpert in detecting PTB, EPTB, and TP was 88.5, 76.5, and 15.0%, respectively, which was slightly lower than IGRA (96.2, 82.4, and 95.0%, respectively), but higher than AFB (36.5, 11.8, and 0%, respectively); IGRA showed the highest sensitivity, but its specificity (55.9, 67.1, and 45.2%, respectively) was significantly lower than Xpert (99.6, 99.4, and 100%, respectively) and AFB (99.0, 99.4, and 100%, respectively) (P < 0.001). The sensitivity of Xpert in detecting lung tissue, cerebrospinal fluid, lymph nodes, and joint fluid was 100%, followed by sputum (88.5%), alveolar lavage (85.7%), and bronchoscopy secretion (81.2%); the pleural fluid sensitivity was the lowest, only 15.0%. For AFB negative patients, the sensitivity of Xpert in detecting PTB, EPTB, and TP was 84.9, 73.3, and 15.0%, respectively.

conclusionsXpert showed both high sensitivity and high specificity, and suggested its high value in TB diagnosis; however, the application of pleural fluid is still limited, and should be improved. Owing to the high sensitivity of IGRA, it is recommended for use as a supplementary test, especially for assisting in the diagnosis of TP and EPTB.

Indexed as

AdolescentAdultAgedChinaDrug Resistance, BacterialFemaleHospitals, TeachingHumansInterferon-gamma Release TestsMaleMicroscopyMiddle AgedMycobacterium tuberculosisReal-Time Polymerase Chain ReactionRetrospective StudiesRifampinRifampinExtra-pulmonary tuberculosisPulmonary tuberculosisTuberculosisTuberculous pleurisyXpert MTB/RIF

Identifiers

PMID32448123
PMCPMC7245878
OpenAlexW3028307032

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.