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Dataset Information

The meta-analysis for ideal cytokines to distinguish the latent and active TB infection.


ABSTRACT:

Background

One forth whole-world population is infected with Mycobacterium tuberculosis (Mtb), but 90% of them are asymptotic latent infection without any symptoms but positive result in IFN-γ release assay. There is lack of ideal strategy to distinguish active tuberculosis (TB) and latent tuberculosis infection (LTBI). Some scientist had focused on a set of cytokines as biomarkers besides interferon- gamma (IFN-γ) to distinguish active TB and LTBI, but with considerable variance of results. This meta-analysis aimed to evaluate the overall discriminative ability of potential immune molecules to distinguish active TB and LTBI.

Methods

PubMed, the Cochrane Library, and Web of Science databases were searched to identify studies assessing diagnostic roles of cytokines for distin

SUBMITTER: Wei Z 

PROVIDER: S-EPMC7502022 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature