Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2013 Dec;11(12):1573-84.e1-2; quiz e88-9.
doi: 10.1016/j.cgh.2013.07.034. Epub 2013 Aug 15.

Liver stiffness is associated with risk of decompensation, liver cancer, and death in patients with chronic liver diseases: a systematic review and meta-analysis

Affiliations
Meta-Analysis

Liver stiffness is associated with risk of decompensation, liver cancer, and death in patients with chronic liver diseases: a systematic review and meta-analysis

Siddharth Singh et al. Clin Gastroenterol Hepatol. 2013 Dec.

Abstract

Background & aims: Liver stiffness measurement (LSM), using elastography, can independently predict outcomes of patients with chronic liver diseases (CLDs). However, there is much variation in reporting and consistency of findings. We performed a systematic review and meta-analysis to evaluate the association between LSM and outcomes of patients with CLDs.

Methods: We performed a systematic review of the literature, through February 2013, for studies that followed up patients with CLDs prospectively for at least 6 months and reported the association between baseline LSM and subsequent development of decompensated cirrhosis or hepatocellular carcinoma (HCC), as well as mortality. Summary relative risk (RR) estimates per unit of LSM and 95% confidence intervals (CIs) were estimated using the random effects model.

Results: Our final analysis included 17 studies, reporting on 7058 patients with CLDs. Baseline LSM was associated significantly with risk of hepatic decompensation (6 studies; RR, 1.07; 95% CI, 1.03-1.11), HCC (9 studies; RR, 1.11; 95% CI, 1.05-1.18), death (5 studies; RR, 1.22; 95% CI, 1.05-1.43), or a composite of these outcomes (7 studies; RR, 1.32; 95% CI, 1.16-1.51). We observed considerable heterogeneity among studies-primarily in the magnitude of effect, rather than the direction of effect. This heterogeneity could not be explained by variations in study locations, etiologies and stages of CLD, techniques to measure liver stiffness, adjustment for covariates, or method of imputing relationship in the meta-analysis.

Conclusions: Based on a meta-analysis of cohort studies, the degree of liver stiffness is associated with risk of decompensated cirrhosis, HCC, and death in patients with CLDs. LSM therefore might be used in risk stratification.

Keywords: CI; CLD; Cancer; Cirrhosis; Elastography; HCC; HCV; HR; HVPG; LSM; LT; MELD; MRE; Outcomes; Prognosis; RR; TE; chronic liver disease; confidence interval; hazard ratio; hepatic venous pressure gradient; hepatitis C virus; hepatocellular carcinoma; liver stiffness measurement; liver transplantation; magnetic resonance elastography; model for end-stage liver disease; relative risk; transient elastography.

PubMed Disclaimer

Conflict of interest statement

Conflicts of interest

This author discloses the following: Richard Ehman has intellectual property rights and a financial conflict of interest related to the technology used in this study. The remaining authors disclose no conflicts.

The Mayo Clinic also has intellectual property rights and a financial conflict of interest related to the technology used in this study. This research has been conducted in compliance with oversight by the Mayo Clinic Conflict of Interest review board.

Figures

Figure 1
Figure 1
Flowchart showing the study identification and selection process. EV, esophageal varices; ICU, intensive care unit; PHTN, portal hypertension.
Figure 2
Figure 2
Quality assessment of included studies using the Quality In Prognosis Studies tool. All studies were scored as low, moderate, or high risk of bias across 6 domains: study participation, study attrition, prognostic factor measurement (ie, elastographic technique), outcome assessment, confounding factors, and statistical analysis and reporting.
Figure 3
Figure 3
Association between baseline LSM and subsequent risk of (A) hepatic decompensation, (B) HCC, (C) mortality, and (D) composite outcome of liver-related events in patients with CLD. Pooled estimate represents increase in risk of liver-related event per unit of LSM.

References

    1. Asrani SK, Larson JJ, Yawn B, et al. Underestimation of liver-related mortality in the United States. Gastroenterology. 2013;145:375–382. - PMC - PubMed
    1. Manos MM, Leyden WA, Murphy RC, et al. Limitations of conventionally derived chronic liver disease mortality rates: results of a comprehensive assessment. Hepatology. 2008;47:1150–1157. - PubMed
    1. Garcia-Tsao G, Friedman S, Iredale J, et al. Now there are many (stages) where before there was one: in search of a pathophysiological classification of cirrhosis. Hepatology. 2010;51:1445–1449. - PMC - PubMed
    1. Tsochatzis EA, Bosch J, Burroughs AK. New therapeutic paradigm for patients with cirrhosis. Hepatology. 2012;56:1983–1992. - PubMed
    1. Ripoll C, Groszmann R, Garcia-Tsao G, et al. Hepatic venous pressure gradient predicts clinical decompensation in patients with compensated cirrhosis. Gastroenterology. 2007;133:481–488. - PubMed

Publication types