Evidence map›Paper›PMID 31796472›Full record

ArticleBMJ open2019

Establishment and assessment of the hepatic venous pressure gradient using biofluid mechanics (HVPG

Jia-Yun Lin, Chi-Hao Zhang, Lei Zheng, Hong-Jie Li, Yi-Ming Zhu, Xiao Fan, Feng Li, Yan Xia, Ming-Zhe Huang, Sun-Hu Yang and 5 more

Registry-linked trialAbstract readClinical Trial Protocol
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03470389 (Establishment and Assessment of the HVPG Using Biofluid Mechanics), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT03470389 naunknown statusnot on this map

Establishment and Assessment of the HVPG Using Biofluid Mechanics (HVPGBFM)

TypeinterventionalSponsorShanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong UniversityRan2018 to 2020Enrolled200ConditionsLiver Cirrhosis, Hypertension, PortalArmsHVPG measurement
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

15 authors.

Jia-Yun Lin *General Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0003-3283-1944
Chi-Hao Zhang *General Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Lei Zheng *General Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Hong-Jie LiGeneral Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yi-Ming ZhuGeneral Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xiao FanGeneral Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Feng LiGeneral Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yan XiaGeneral Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Ming-Zhe HuangGeneral Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Sun-Hu YangGeneral Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xiao-Liang QiGeneral Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Hai-Zhong HuoGeneral Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Hui-Song Chen *Gastroenterology, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xiao-Lou LouGeneral Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China luosh9hospital@sina.com lou_xl@163.com.
Meng LuoGeneral Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China luosh9hospital@sina.com lou_xl@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPortal hypertension (PH) is a severe disease with a poor outcome. Hepatic venous pressure gradient (HVPG), the current gold standard to detect PH, is available only in few hospitals due to its invasiveness and technical difficulty. This study aimed to establish and assess a novel model to calculate HVPG based on biofluid mechanics. METHODS AND ANALYSIS: This is a prospective, randomised, non-controlled, multicentre trial. A total of 248 patients will be recruited in this study, and each patient will undergo CT, blood tests, Doppler ultrasound and HVPG measurement. The study consists of two independent and consecutive cohorts: original cohort (124 patients) and validation cohort (124 patients). The researchers will establish and improve the HVPG using biofluid mechanics (HVPG ETHICS AND DISSEMINATION: The study was approved by the Scientific Research Projects Approval Determination of Independent Ethics Committee of Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (approval number 2017-430 T326). Study findings will be disseminated through peer-reviewed publications and conference presentations. TRIAL REGISTRATION NUMBER: NCT03470389.

Indexed as

Biomedical ResearchBlood Flow VelocityBody Fluid CompartmentsFemaleHumansHypertension, PortalLiver Function TestsMaleMiddle AgedMulticenter Studies as TopicNon-Randomized Controlled Trials as TopicPortal VeinProspective StudiesUltrasonography, DopplerVenous Pressurebiofluid mechanicshepatic venous pressure gradientliver cirrhosisnoninvasiveportal hypertension

Identifiers

PMID31796472
PMCPMC6926408

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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.