Evidence map›Paper›PMID 31778149›Full record

SynthesisBioscience reports2020

Pooled analysis of the Xpert MTB/RIF assay for diagnosing tuberculous meningitis.

Yuan-Zhi Chen, Li-Chang Sun, Yao-Hong Wen, Zhong-Wei Li, Shu-Jin Fan, Hong-Kun Tan, Min Qiu, Zhi-Yong Pan, Qin Li, Yan-Zhen Zhao and 2 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Observational
  8. Review
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  12. Article
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

12 authors at 3 institutions in 2 countries.

Yuan-Zhi ChenDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Li-Chang SunDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Yao-Hong WenDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Zhong-Wei LiDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Shu-Jin FanDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Hong-Kun TanDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Min QiuDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Zhi-Yong PanDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Qin LiSection of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Yale School of Medicine, Yale University, New Haven, CT 06520-8057, U.S.A.
Yan-Zhen ZhaoDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China.
Zhen-Xing LiDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Xu-Guang GuoDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Third Affiliated Hospital of Guangzhou Medical University · CNGuangdong University of Education · CNYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculous meningitis (TBM) is one of the most serious types of extrapulmonary tuberculosis. However, low sensitivity of culture of cerebrospinal fluid (CSF) increases the difficulty in clinical diagnosis, leading to diagnostic delay, and misdiagnosis. Xpert MTB/RIF assay is a rapid and simple method to detect tuberculosis. However, the efficacy of this technique in diagnosing TBM remains unclear. Therefore, a meta-analysis was conducted to evaluate the diagnostic efficacy of Xpert MTB/RIF for TBM, which may enhance the development of early diagnosis of TBM.

methodsRelevant studies in the PubMed, Embase, and Web of Science databases were retrieved using the keywords 'Xpert MTB/RIF', 'tuberculous meningitis (TBM)'. The pooled sensitivity, pooled specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, summary receiver operator characteristic curve, and area under the curve (AUC) of Xpert MTB/RIF were determined and analyzed.

resultsA total of 162 studies were enrolled and only 14 met the criteria for meta-analysis. The overall pooled sensitivity of Xpert MTB/RIF was 63% [95% confidence interval (CI), 59-66%], while the overall pooled specificity was 98.1% (95% CI, 97.5-98.5%). The pooled values of positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 20.91% (12.71-52.82%), 0.40% (0.32-0.50%), and 71.49% (32.64-156.56%), respectively. The AUC was 0.76.

conclusionsXpert MTB/RIF exhibited high specificity in diagnosing TBM in CSF samples, but its sensitivity was relatively low. It is necessary to combine other high-sensitive detection methods for the early diagnosis of TBM. Moreover, the centrifugation of CSF samples was found to be beneficial in improving the sensitivity.

Indexed as

Microbial Sensitivity TestsMolecular Diagnostic TechniquesAntibiotics, AntitubercularDrug Resistance, BacterialHumansMycobacterium tuberculosisPredictive Value of TestsReproducibility of ResultsRifampinTuberculosis, MeningealAntibiotics, AntitubercularRifampinDiagnosismeta analysistuberculous meningitisXpert MTB/RIF

Identifiers

PMID31778149
PMCPMC6946622
OpenAlexW2990056807

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.