Evidence map›Paper›PMID 38964888›Full record

ReviewZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2024

[New targets for the prevention and treatment of cirrhotic portal vein thrombosis].

Y W Wang, H G Ding

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. [A case of cirrhosis combined with myeloproliferative neoplasms].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Article
  4. [Pay attention to the diagnosis and treatment of "easily neglected" complications in liver cirrhosis].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2024
    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

2 authors.

Y W WangDepartment of Hepatology and Gastroenterology, You'an Hospital, Capital Medical University, Beijing 100000, China.
H G DingDepartment of Hepatology and Gastroenterology, You'an Hospital, Capital Medical University, Beijing 100000, China.

Funding

Capital Characteristic Diagnosis and Treatment Technology Research Project of Beijing Municipal Science & Technology Commission Z221100007422002Capital Medical Development and Research Fund 2022-1-2181
6 · The paper itself

Abstract

Portal vein thrombosis (PVT) is divided into cirrhotic and non-cirrhotic PVTs. The incidence rate of PVT varies greatly among different clinical stages of cirrhosis, with an overall incidence rate of about 13.92%, and the prevalence of cirrhotic PVT following splenectomy is as high as 60%. The pathogenesis of cirrhotic PVT is still unclear. However, the activation of Janus kinase/signal transduction and activator transcription signaling pathways, the rise in the expression of von Willebrand factor, and the gut microbiota along with its metabolite trimethylamine-N-oxide play an important role in the injury of vascular endothelial cells and the formation of PVT in cirrhosis. Therefore, these could be a new target for cirrhotic PVT prevention and treatment.

Indexed as

Liver CirrhosisPortal VeinVenous ThrombosisGastrointestinal MicrobiomeHumansJanus KinasesMethylaminesSignal Transductionvon Willebrand FactorJanus KinasesMethylaminestrimethyloxaminevon Willebrand FactorIntestinal floraLiver cirrhosisPortal vein thrombosisPreventionRisk factorsTarget pointTreatment

Identifiers

PMID38964888
PMCPMC12898948

What OpenQuestion holds

Textmetadata
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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.