Published in:
01-09-2019 | Original Article
The prognostic role of liver stiffness in patients with chronic liver disease: a systematic review and dose–response meta-analysis
Published in: Hepatology International | Issue 5/2019
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Background and aims
Liver stiffness measurement (LSM) by transient elastography (TE) has been assessed for the evaluation of clinically relevant outcomes in patients with chronic liver diseases (CLDs) while with variable results. This systematic review and meta–analysis aims to investigate the relationship between baseline LSM by TE and the development of clinically relevant outcomes.
Methods
The systematic review identified eligible cohorts reporting the association between baseline LSM by TE and risk of hepatic carcinoma (HCC), hepatic decompensation (HD), all–cause and/or liver–related mortality and liver–related events (LREs) in CLD patients. Summary relative risks (RRs) with 95% confidence intervals (CIs) were estimated using a random–effect model. The dose–response association was evaluated by generalized least squares trend (Glst) estimation and restricted cubic splines. Commands of GLST, MKSPLINE, MVMETA were applied for statistical analysis.
Results
62 cohort studies were finally included, reporting on 43,817 participants. For one kPa (kilopascal) increment in baseline liver stiffness (LS), the pooled RR (95% CI) was 1.08 (1.05–1.11) for HCC, 1.08 (1.06–1.11) for all–cause mortality, 1.11 (1.05–1.17) for liver-related mortality, 1.08 (1.06–1.10) for HD and 1.07 (1.04–1.09) for LREs. Furthermore, the nonlinear dose–response analysis indicated that the significant increase in the risk of corresponding clinically relevant outcomes turned to a stable increase or a slight decrease with increasing baseline LS changing primarily in the magnitude of effect rather than the direction.
Conclusions
The dose–response meta-analysis presents a combination between the levels of baseline LS and RRs for each clinically relevant outcome. TE, which is noninvasive, might be a novel strategy for risk stratification and identification of patients at high risk of developing these outcomes.