Evidence map›Paper›PMID 39038958›Full record

SynthesisClinical and molecular hepatology2024

Risk assessment of hepatitis B virus-related hepatocellular carcinoma development using vibration-controlled transient elastography: Systematic review and meta-analysis.

Young-Joo Jin, Hee Yeon Kim, Young Ju Suh, Chae Hyeon Lee, Jung Hwan Yu, Mi Na Kim, Ji Won Han, Han Ah Lee, Jihyun An, Young Eun Chon and 3 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Clinical and molecular hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Toward Precise Risk Stratification after the Functional Cure of Chronic Hepatitis B.The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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

13 authors.

Young-Joo JinDepartment of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea.
Hee Yeon KimDepartment of Internal Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Young Ju SuhDepartment of Biomedical Sciences, College of Medicine, Inha University, Incheon, Korea.
Chae Hyeon LeePharmacometrics Institute for Practical Education and Training (PIPET), College of Medicine, The Catholic University of Korea, Seoul, Korea.
Jung Hwan YuDepartment of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea.
Mi Na KimDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Ji Won HanDivision of Gastroenterology and Hepatology, Department of Internal Medicine, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
Han Ah LeeDepartment of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea.
Jihyun AnDepartment of Gastroenterology and Hepatology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea.
Young Eun ChonDepartment of Internal Medicine, Institute of Gastroenterology, CHA Bundang Medical Center, CHA University, Seongnam, Korea.
Dae Won JunDepartment of Gastroenterology, Hanyang University, College of Medicine, Seoul, Korea.
Miyoung ChoiDivision of Healthcare Technology Assessment Research, National Evidence-based Healthcare, Collaborating Agency, Seoul, Korea.
Seung Up KimDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.

Funding

Inha University Hospital
6 · The paper itself

Abstract

BACKGROUNDS/

aimsLiver stiffness measurement (LSM) using vibration-controlled transient elastography (VCTE) can assess fibrotic burden in chronic liver diseases. The systematic review and meta-analysis was conducted to determine whether LSM using VCTE can predict the risk of development of hepatocellular carcinoma (HCC) in chronic hepatitis B (CHB) patients.

methodsA systematic literature search of the Ovid-Medline, EMBASE, Cochrane, and KoreaMed databases (from January 2010 to June 2023) was conducted. Of the 1,345 individual studies identified, 10 studies that used VCTE were finally registered. Hazard ratios (HRs) and the 95% confidence intervals (CIs) were considered summary estimates of treatment effect sizes of ≥11 kilopascal (kPa) standard for HCC development. Meta-analysis was performed using the restricted Maximum Likelihood random effects model.

resultsAmong the ten studies, data for risk ratios for HCC development could be obtained from nine studies. When analyzed for the nine studies, the HR for HCC development was high at 3.33 (95% CI, 2.45-4.54) in CHB patients with a baseline LSM of ≥11 kPa compared to patients who did not. In ten studies included, LSM of ≥11 kPa showed the sensitivity and specificity for predicting HCC development were 61% (95% CI, 50-71%) and 78% (95% CI, 66-86%), respectively, and the diagnostic accuracy was 0.74 (95% CI, 0.70-0.77).

conclusionThe risk of HCC development was elevated in CHB patients with VCTE-determined LSM of ≥11 kPa. This finding suggests that VCTE-determined LSM values may aid the risk prediction of HCC development in CHB patients.

Indexed as

Carcinoma, HepatocellularElasticity Imaging TechniquesHepatitis B, ChronicLiver NeoplasmsVibrationHepatitis B virusHumansRisk AssessmentChronic hepatitis BHepatocellular carcinomaLiver stiffness measurementVibration-controlled transient elastography

Identifiers

PMID39038958
PMCPMC11493361

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.