Evidence map›Paper›PMID 33053983›Full record

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

[A new strategy for non-invasive diagnosis of liver diseases: DSA-FACE technology based-glycomics method].

G T Lu, C Y Chen, B L Li, J J Chen

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

Article 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 90% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

G T LuCenter of Hepatology, Department of Infectious Disease, Nanfang hospital, Southern Medical University, Guangzhou 510515, China.
C Y ChenSysdiagno Biotech Co.Ltd, Nanjing 210046, China.
B L LiCenter of Hepatology, Department of Infectious Disease, Nanfang hospital, Southern Medical University, Guangzhou 510515, China.
J J ChenCenter of Hepatology, Department of Infectious Disease, Nanfang hospital, Southern Medical University, Guangzhou 510515, China.
Southern Medical University · CNViva Biotech (China) · CN

Funding

Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program 2017BT01S131National Key Research and Development Program of China 2017YFC0908100National Science and Technology Major Project 2018ZX10723203, 2018ZX10302206
6 · The paper itself

Abstract

Chronic liver disease has gradually become a serious health problem worldwide. Liver biopsy is the current gold standard to assess liver lesions; however, it is an invasive procedure that may cause severe complications. Therefore, there is an urgent need for an economical and rapid non-invasive detection method that can be used in clinic for diagnosis. In the past decade, protein glycosylation has become a research hotspot, and the concept of changes in serum proteoglycans structure has gradually been accepted by many researchers as an indication of liver injury. At the same time, N-linked glycans via DNA sequencing equipment-Fluorophore Assisted Carbohydrate Electrophoresis (DSA-FACE) has also brought high sensitivity and specificity diagnostic models (GlycoHepatoTest) for various chronic liver diseases, which is a new strategy for non-invasive diagnosis of liver diseases.

Indexed as

GlycomicsLiver DiseasesCarbohydratesElectrophoresisHumansPolysaccharidesSequence Analysis, DNATechnologyCarbohydratesPolysaccharidesFluorescence capillary electrophoresisGlycosylationLiver diseaseNon-invasive diagnosis

Identifiers

PMID33053983
PMCPMC12770189
OpenAlexW3092790231

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.