Evidence map›Paper›PMID 32023709›Full record

ReviewZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2020

[Value of detection of extracellular vesicles in the diagnosis of nonalcoholic fatty liver disease].

W Y Jiang, Y H Xun

Open access · greenAbstract readReview
In one paragraph

Review in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Isolation and analysis methods of extracellular vesicles (EVs).Extracellular vesicles and circulating nucleic acids · 2021
    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 at 2 institutions in 1 country.

W Y JiangZhejiang Chinese Medical University, Hangzhou 310053, China.
Y H XunXixi Hospital of Hangzhou, Hangzhou 310023, China.
Hangzhou Xixi hospital · CNZhejiang Chinese Medical University · CN

Funding

Rising Star in Medicine,Zhejiang Province 2015Science and Technology Development Project of Hangzhou 20140733Q40Science and Technology Planning Project of Traditional Chinese Medicine of Zhejiang Province,China 2014ZA089, 2015ZA167
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are small bilayer lipid membrane vesicles that can be released by most cell types and detected in most body fluids. EVs exert key functions for intercellular communication via transferring their bioactive cargos to recipient cells or activating signaling pathways in target cells, and hence participate in the variety of diseases including the occurrence and development of liver diseases. In recent years, the prevalence of nonalcoholic fatty liver disease (NAFLD) has increased. Currently there is no reliable method except invasive liver biopsy for the diagnosis of liver inflammation or fibrosis staging. Therefore, the search for the corresponding markers of noninvasive circulation continues to be active, and extracellular vesicles are one of the most concerned. To this end, we reviewed current knowledge about the physical characteristics, biological components, and isolation methods of extracellular vesicles, and introduced the concept of using circulating cell-derived vesicles as a new diagnostic marker for nonalcoholic fatty liver disease.

Indexed as

Extracellular VesiclesNon-alcoholic Fatty Liver DiseaseBiomarkersCell CommunicationHepatitisHumansBiomarkersBiological markersExosomesExtracellular vesiclesFatty liver, non-alcoholic

Identifiers

PMID32023709
PMCPMC12770583
OpenAlexW3011771041

What OpenQuestion holds

Textmetadata
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.