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Dataset Information

Evaluation of cytokines as a biomarker to distinguish active tuberculosis from latent tuberculosis infection: a diagnostic meta-analysis.


ABSTRACT:

Objectives

With a marginally effective vaccine and no significant breakthroughs in new treatments, a sensitive and specific method to distinguish active tuberculosis from latent tuberculosis infection (LTBI) would allow for early diagnosis and limit the spread of the pathogen. The analysis of multiple cytokine profiles provides the possibility to differentiate the two diseases.

Design

Systematic review and meta-analysis.

Data sources

PubMed, Cochrane Library, Clinical Key and EMBASE databases were searched on 31 December 2019.

Eligibility criteria

We included case-control studies, cohort studies and randomised controlled trials considering IFN-γ, TNF-α, IP-10, IL-2, IL-10, IL-12 and VEGF as biomarkers to distinguish active tuberculosis and LTBI.

Data extract

SUBMITTER: Qiu B 

PROVIDER: S-EPMC7542925 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature