Evidence map›Paper›PMID 33838648›Full record

SynthesisBMC infectious diseases2021

MPT64 assays for the rapid detection of Mycobacterium tuberculosis.

Xun-Jie Cao, Ya-Ping Li, Jia-Ying Wang, Jie Zhou, Xu-Guang Guo

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Clinical management of XpertBMC infectious diseases · 2026
    Observational
  4. Article
  5. Article
  6. Immunoinformatics analysis of the proteins MPT83 and MPT51 to design a possible chimeric vaccine against Mycobacterium tuberculosis.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  7. Article
  8. Frontiers in medicine · 2025
    Article
  9. Article
  10. Article
  11. The application of aptamer in tuberculosis diagnosis: a systematic review.Tropical diseases, travel medicine and vaccines · 2024
    Review
  12. Biochip-Based Identification of Mycobacterial Species in Russia.International journal of molecular sciences · 2024
    Article
  13. Observational
  14. Article
  15. Review
  16. Article
  17. Detection ofPathogens (Basel, Switzerland) · 2023
    Article
  18. Article
  19. Article
  20. 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

5 authors.

Xun-Jie Cao *Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Ya-Ping Li *Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Jia-Ying WangDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Jie ZhouDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Xu-Guang GuoDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China. gysygxg@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) is a serious infectious disease caused by Mycobacterium tuberculosis (MTB). An estimated 1.7 billion people worldwide are infected with Mycobacterium tuberculosis (LTBI) during the incubation period without any obvious symptoms. Because of MTB's high infection and mortality rates, there is an urgent need to develop a fast, portable, and sensitive diagnostic technology for its detection.

methodsWe included research from PubMed, Cochrane Library, Web of Science, and Embase and extracted the data. MetaDisc and STATA were used to build forest plots, Deek's funnel plot, Fagan plot, and bivariate boxplot for analysis.

resultsForty-six articles were analyzed, the results of which are as follows: sensitivity and specificity were 0.92 (0.91-0.93) and 0.95 (0.94-0.95) respectively. The NLR and PLR were 0.04 (95% CI 0.03-0.07) and 25.32 (95% CI 12.38-51.78) respectively. DOR was 639.60 (243.04-1683.18). The area under the SROC curve (AUC) was 0.99.

conclusionsMPT64 exhibits good diagnostic efficiency for MTB. There is no obvious heterogeneity between the three commercial kits.

Indexed as

Mycobacterium tuberculosisReagent Kits, DiagnosticAntigens, BacterialEnzyme-Linked Immunosorbent AssayHumansImmunoassaySensitivity and SpecificityTuberculosisAntigens, BacterialMPT64 protein, Mycobacterium tuberculosisReagent Kits, DiagnosticCommercial kitsMPT64MTBMycobacterium tuberculosisTuberculosis

Identifiers

PMID33838648
PMCPMC8035777

What OpenQuestion holds

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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.