Evidence map›Paper›PMID 32843036›Full record

ArticleBMC veterinary research2020

Assessment of a biofluid mechanics-based model for calculating portal pressure in canines.

Jia-Yun Lin, Chi-Hao Zhang, Lei Zheng, Chen-Lu Song, Wen-Sheng Deng, Yi-Ming Zhu, Li Zheng, Li-Zhong Wu, Long-Ci Sun, Meng Luo

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC veterinary research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 87% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

10 authors at 4 institutions in 1 country.

Jia-Yun LinDepartment of General Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639 Zhizaoju Road, Shanghai, 200011, China.
Chi-Hao ZhangDepartment of General Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639 Zhizaoju Road, Shanghai, 200011, China.
Lei ZhengDepartment of General Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639 Zhizaoju Road, Shanghai, 200011, China.
Chen-Lu SongDepartment of Plastic Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639 Zhizaoju Road, Shanghai, 200011, China.
Wen-Sheng DengDepartment of General Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639 Zhizaoju Road, Shanghai, 200011, China.
Yi-Ming ZhuDepartment of General Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639 Zhizaoju Road, Shanghai, 200011, China.
Li ZhengDepartment of Ultrasound, Shanghai Baoshan Integrated Traditional Chinese and Western Medicine Hospital, No. 181 Youyi Road, Shanghai, 201900, China.
Li-Zhong WuDepartment of Radiation, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639 Zhizaoju Road, Shanghai, 200011, China.
Long-Ci SunDepartment of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No.160 Pujian Road, Shanghai, 200127, China. renjisunlongci@163.com.
Meng LuoDepartment of General Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639 Zhizaoju Road, Shanghai, 200011, China. luosh9hospital@sina.com.
Shanghai Ninth People's Hospital · CNShanghai Jiao Tong University · CNShanghai Traditional Chinese Medicine Hospital · CNShanghai University of Traditional Chinese Medicine · CN

Funding

Joint Project of Key Diseases of Shanghai Municipal Health Bureau 2014ZYJB0202National Natural Science Foundation of China 81770599National Natural Science Foundation of China 81970526the Clinical Research Program of Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine JYLJ021
6 · The paper itself

Abstract

backgroundPortal hypertension is a severe complication caused by various chronic liver diseases. The standard methods for detecting portal hypertension (hepatic venous pressure gradient and free portal pressure) are available in only a few hospitals due to their technical difficulty and invasiveness; thus, non-invasive measuring methods are needed. This study aimed to establish and assess a novel model to calculate free portal pressure based on biofluid mechanics.

resultComparison of each dog's virtual and actual free portal pressure showed that a biofluid mechanics-based model could accurately predict free portal pressure (mean difference: -0.220, 95% CI: - 0.738 to 0.298; upper limit of agreement: 2.24, 95% CI: 1.34 to 3.14; lower limit of agreement: -2.68, 95% CI: - 3.58 to - 1.78; intraclass correlation coefficient: 0.98, 95% CI: 0.96 to 0.99; concordance correlation coefficient: 0.97, 95% CI: 0.93 to 0.99) and had a high AUC (0.984, 95% CI: 0.834 to 1.000), sensitivity (92.3, 95% CI: 64.0 to 99.8), specificity (91.7, 95% CI: 61.5 to 99.8), positive likelihood ratio (11.1, 95% CI: 1.7 to 72.8), and low negative likelihood ratio (0.08, 95% CI: 0.01 to 0.6) for detecting portal hypertension.

conclusionsOur study suggests that the biofluid mechanics-based model was able to accurately predict free portal pressure and detect portal hypertension in canines. With further research and validation, this model might be applicable for calculating human portal pressure, detecting portal hypertensive patients, and evaluating disease progression and treatment efficacy.

Indexed as

Portal PressureAnimalsBiomechanical PhenomenaBlood Flow VelocityCarbon TetrachlorideDog DiseasesDogsHypertension, PortalMaleModels, TheoreticalPortal VeinSensitivity and SpecificityTomography, X-Ray ComputedUltrasonography, DopplerCarbon TetrachlorideBiofluid mechanicsNon-invasivePortal hypertensionPortal pressure

Identifiers

PMID32843036
PMCPMC7507948
OpenAlexW3081030303

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.