Evidence map›Paper›PMID 36356684›Full record

ArticleJournal of hepatology2023

Baveno VII algorithm outperformed other models in ruling out high-risk varices in individuals with HBV-related cirrhosis.

Xiaofeng Zhang, Jiankang Song, Yuanjian Zhang, Biao Wen, Lin Dai, Ranran Xi, Qiaoping Wu, Yuan Li, Xiaoqin Luo, Xiaoqin Lan and 20 more

3 registry-linked trialsAbstract read
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In one paragraph

Article in Journal of hepatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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.

NCT04890730 unknown statusnot on this map

Southern Medical University of Nanfang Hospital

TypeobservationalSponsorNanfang Hospital, Southern Medical UniversityRan2020 to 2024Enrolled992ConditionsGastroesophageal Varices, Decompensation EventArmsEsophagogastroduodenoscopies
NCT06173947 recruitingnot on this mapstarted 2024, after this paper: background citation

Spleen Stiffness Measurement Predicts Short-term Outcomes of Chronic Liver Disease Inpatients With Acute Liver Injury: a Prospective, Observational and Multicentre Study

TypeobservationalSponsorNanfang Hospital, Southern Medical UniversityRan2024 to 2025Enrolled411ConditionsEnd Stage Liver Disease, Jaundice, Liver Dysfunction, Portal HypertensionArmsFibroScan® Expert 630
NCT06392503 unknown statusnot on this map

Establishment of Noninvasive Diagnosis Model for High-risk Varices in Cirrhosis Patients Based on iLivTouch

TypeobservationalSponsorBeijing 302 HospitalRan2023 to 2025Enrolled2,500ConditionsVarices, Liver CirrhosisArmsdifferent diagnostic models
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  6. Echocardiography, Bile Acids and Spleen Stiffness to Rule Out High-Risk Varices in Children With Biliary Atresia.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
  7. Platelet count, liver and spleen stiffness-based model reliably identifies esophageal varices needing treatment in acute-on-chronic liver failure.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026
    Article
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  19. [Non-invasive evaluation and prediction of portal hypertension: focusing on disease progression and outcome].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors.

Xiaofeng ZhangHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Hepatology, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jiankang SongHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yuanjian ZhangHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Biao WenHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Chengdu Medical College, Chengdu, Sichuan, China.
Lin DaiHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Ranran XiHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Qiaoping WuHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yuan LiHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xiaoqin LuoHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Hepatology, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xiaoqin LanHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Qinjun HeHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Wenfan LuoHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Qintao LaiHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yali JiHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Ling ZhouHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Tingting QiHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Miaoxia LiuHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Fuyuan ZhouHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Weiqun WenHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Hui LiHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Hepatology, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zhihua LiuHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yongpeng ChenHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Youfu ZhuHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Junying LiHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Hepatology, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jing HuangHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Hepatology, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xiao ChengHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Hepatology, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Minghan TuHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Hepatology, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jinlin HouHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China.
Haiyu WangHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China. Electronic address: 375612668@qq.com.
Jinjun ChenHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Hepatology, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China; State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China. Electronic address: chjj@smu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsThe Baveno VII consensus recommends that spleen stiffness measurement (SSM) ≤40 kPa is safe for ruling out high-risk varices (HRVs) and avoiding endoscopic screening in patients who do not meet the Baveno VI criteria. This study aimed to validate the performance of the Baveno VII algorithm in individuals with HBV-related cirrhosis.

methodsConsecutive individuals with HBV-related cirrhosis who underwent liver stiffness measurement (LSM) and SSM - using a 50 Hz shear wave frequency, spleen diameter measurement, and esophagogastroduodenoscopy (EGD) were prospectively enrolled from June 2020. A 100 Hz probe has been adopted for additional SSM assessment since July 2021.

resultsFrom June 2020 to January 2022, 996 patients were screened and 504 were enrolled for analysis. Among the 504 patients in whom SSM was assessed using a 50 Hz probe, the Baveno VII algorithm avoided more EGDs (56.7% vs. 39.1%, p <0.001) than Baveno VI criteria, with a comparable missed HRV rate (3.8% vs. 2.5%). Missed HRV rates were >5% for all other measures: 11.3% for LSM-longitudinal spleen diameter to platelet ratio score, 20.0% for platelet count/longitudinal spleen diameter ratio, and 8.8% for Rete Sicilia Selezione Terapia-hepatitis. SSM@100 Hz was assessed in 232 patients, and the Baveno VII algorithm with SSM@100 Hz spared more EGDs (75.4% vs. 59.5%, p <0.001) than that with SSM@50 Hz, both with a missed HRV rate of 3.0% (1/33).

conclusionsWe validated the Baveno VII algorithm, demonstrating the excellent performance of SSM@50 Hz and SSM@100 Hz in ruling out HRV in individuals with HBV-related cirrhosis. Furthermore, the Baveno VII algorithm with SSM@100 Hz could safely rule out more EGDs than that with SSM@50 Hz. CLINICAL TRIAL NUMBER: NCT04890730. IMPACT AND IMPLICATIONS: The Baveno VII guideline proposed that for patients who do not meet the Baveno VI criteria, SSM ≤40 kPa could avoid further unnecessary endoscopic screening. The current study validated the Baveno VII algorithm using 50 Hz and 100 Hz probes, which both exhibited excellent performance in ruling out HRVs in individuals with HBV-related cirrhosis. Compared with the Baveno VII algorithm with SSM@50 Hz, SSM@100 Hz had a better capability to safely rule out unnecessary EGDs. Baveno VII algorithm will be a practical tool to triage individuals with cirrhosis in future clinical practice.

Indexed as

Elasticity Imaging TechniquesEsophageal and Gastric VaricesVaricose VeinsAlgorithmsHepatitis B virusHumansLiver CirrhosisBaveno VIIhigh-risk varicesliver cirrhosisspleen stiffness measurementvibration-controlled transient elastography

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Registered trials

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.