Evidence map›Paper›PMID 32543657›Full record

ReviewBioscience reports2020

The clinical diagnostic value of Xpert MTB/RIF for the detection of Mycobacterium tuberculosis in gastric aspirates.

Hong-Kun Tan, Shu-Jin Fan, Yu-Cheng Xu, Jiong-Jiong Zhou, Yuan-Zhi Chen, Tian-Ao Xie, Zhi-Yong Pan, Yong Xia, Xu-Guang Guo

Abstract readReview
In one paragraph

Review in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A narrative review of tuberculosis in the United States among persons aged 65 years and older.Journal of clinical tuberculosis and other mycobacterial diseases · 2022
    Review
  3. Review
  4. 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

9 authors.

Hong-Kun Tan *Department of Clinical Medicine, the Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Shu-Jin Fan *Department of Clinical Medicine, the Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Yu-Cheng XuDepartment of Clinical Medicine, the Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Jiong-Jiong ZhouDepartment of Clinical Medicine, the Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Yuan-Zhi ChenDepartment of Clinical Medicine, the Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.
Tian-Ao XieDepartment 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.
Yong XiaDepartment 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAt present, the infection and prevalence rates of tuberculosis (TB) are still high in worldwide. The Xpert MTB/RIF technology has improved the diagnosis speed of Mycobacterium tuberculosis (MTB) and facilitated the rapid treatment of TB patients.

methodsWe searched experimental data derived from Xpert MTB/RIF for detecting MTB in gastric aspirates in PubMed, Embase, Web Of Science, and the Cochrane Library databases between January 2012 to April 2019. A summary receiver operating characteristic curve (SROC curve) was used to analyze the pooled sensitivity, pooled specificity, PLR, NLR, and DOR for determining the accuracy of the test.

resultsOur database search resulted in 10 relevant articles. The pooled sensitivity of Xpert MTB/RIF for detecting TB in GA was 86% (95% CI, 83-89%), and I2 = 93.4%. The pooled specificity was 92% (95% CI, 90-93%) and I2 = 97.8%. In addition, the positive LR was 12.12 (95% CI, 5.60-26.21), negative LR was 0.20 (95% CI, 0.11-0.36), and the diagnostic odds ratio (DOR) was 147.04 (95% CI, 37.20-581.19). Using the SROC curve, the AUC was 0.9730 and Q* was 0.9248 (SE = 0.0261). The publication bias was P=0.517 (P>0.05).

conclusionsThe Xpert MTB/RIF for detecting MTB in gastric aspirates was highly accurate. In addition, we observed that the publication bias in the present study was low. Hence, the Xpert MTB/RIF technology is highly accurate and has the advantage of rapid testing for MTB in clinical samples.

Indexed as

Molecular Diagnostic TechniquesHumansMycobacterium tuberculosisPredictive Value of TestsReproducibility of ResultsStomachSuctionTuberculosisGastric-AspirateMycobacterium-tuberculosisSensitivitySpecificityXpert MTB/RIF

Identifiers

PMID32543657
PMCPMC7313445

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Registered trials

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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.