Evidence map›Paper›PMID 31273618›Full record

SynthesisHepatology international2019

The prognostic role of liver stiffness in patients with chronic liver disease: a systematic review and dose-response meta-analysis.

Yue Shen, Sheng-Di Wu, Ling Wu, Si-Qi Wang, Yao Chen, Li-Li Liu, Jing Li, Chang-Qing Yang, Ji-Yao Wang, Wei Jiang

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Hepatology international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Guideline
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  4. Mechanotyping of Organoids for Assessing Drug-Induced Injuries.Advanced materials (Deerfield Beach, Fla.) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Yue ShenDepartment of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Xuhui District, Shanghai, People's Republic of China.
Sheng-Di WuDepartment of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Xuhui District, Shanghai, People's Republic of China.
Ling WuDepartment of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Xuhui District, Shanghai, People's Republic of China.
Si-Qi WangDepartment of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Xuhui District, Shanghai, People's Republic of China.
Yao ChenDepartment of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Li-Li LiuDepartment of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Xuhui District, Shanghai, People's Republic of China.
Jing LiDepartment of Gastroenterology, Tongji Hospital, Tongji University, Shanghai, People's Republic of China.
Chang-Qing YangDepartment of Gastroenterology, Tongji Hospital, Tongji University, Shanghai, People's Republic of China.
Ji-Yao WangDepartment of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Xuhui District, Shanghai, People's Republic of China.
Wei JiangDepartment of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Xuhui District, Shanghai, People's Republic of China. jiang.wei@zs-hospital.sh.cn.ORCID http://orcid.org/0000-0002-9354-6699
Fudan University · CNTongji University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsLiver 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.

methodsThe 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.

results62 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.

conclusionsThe 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.

Indexed as

Elasticity Imaging TechniquesEnd Stage Liver DiseaseHumansLiverPrognosisCancerCirrhosisFibroscanLiverOutcome

Identifiers

PMID31273618
OpenAlexW2955388000

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.