Prognostic value of liver stiffness measurement for the liver-related surgical outcomes of patients under hepatic resection: A meta-analysis

PLoS One. 2018 Jan 11;13(1):e0190512. doi: 10.1371/journal.pone.0190512. eCollection 2018.

Abstract

Background: Previous studies have discussed the liver stiffness measurement (LSM) performance on predicting liver-related surgical outcomes for patients of hepatocellular carcinoma (HCC) under hepatic resection, yet there is much variation in reporting and consistency of findings. Therefore, we report a meta-analysis on this issue.

Methods: We comprehensively searched PubMed, Embase, and Web of science to find the eligible cohort studies. The pooled Odds Ratios (OR) and 95% confidence intervals (CIs) were calculated to evaluate effect. The weighted mean LSM value was calculated as the optimal LSM cut-off value among studies.

Results: 12 prospective cohort studies and one retrospective cohort study, including a total of 1942 cases were identified. The pooled results showed that preoperative LSM is significantly associated with the occurrence of overall postoperative complications (OR 1.76, 95% CI 1.46-2.11). In addition, a weighted mean LSM value of 14.2 kPa and 11.3KPa were suggested as the optimal LSM cut-off value reference using transient elastoqraphy (TE) for predicting overall postoperative complications in Asia countries and European countries, respectively.

Conclusions: Preoperative LSM should be taken into account cautiously in the management of patients undergoing hepatectomy of HCC. Future studies could focus on setting a prognostic model integrated with LSM in predicting post-hepatectomy outcomes.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Carcinoma, Hepatocellular / surgery*
  • Cohort Studies
  • Humans
  • Liver / pathology*
  • Liver / surgery
  • Liver Neoplasms / surgery*
  • Prognosis

Grants and funding

This work was funded by National Natural Science Foundation of China (no. 81573715), Natural Science Foundation of Guangdong Province, China (no. 2015A030313348), and Science and Technology Program of Guangzhou, China (no. 201510010257). The funders had significant role in study design, data analysis and preparation of the manuscript.