Evidence map›Paper›PMID 33902184›Full record

ArticleZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2021

[Assessment and intervention strategies for sarcopenia in patients with liver cirrhosis].

H J Xiao, T Han

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, 2021. 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 95% 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

2 authors at 1 institution in 1 country.

H J XiaoThe Third Central Clinical College of Tianjin Medical University, Tianjin 300170, China Department of Nutrition, The Third Central Hospital of Tianjin, Tianjin 300170, China Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin 300170, China Artificial Cell Engineering Technology Research Center, Tianjin 300170, China Tianjin Institute of Hepatobiliary Disease, Tianjin 300170, China.
T HanThe Third Central Clinical College of Tianjin Medical University, Tianjin 300170, China Department of Gastroenterology and Hepatology, The Third Central Hospital of Tianjin, Tianjin 300170, China Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin 300170, China Artificial Cell Engineering Technology Research Center, Tianjin 300170, China Tianjin Institute of Hepatobiliary Disease, Tianjin 300170, China.
Tianjin Medical University · CN

Funding

National Science and Technology Major Project 2017ZX10203201-007
6 · The paper itself

Abstract

Sarcopenia is a common complication in patients with liver cirrhosis, which has an adverse effect on the clinical outcome and prognosis. Attention must be paid to early detection and active diagnosis and treatment. Clinically, the diagnosis process of finding suspicious cases can be traced through screening-assessment-diagnosis-severity evaluation. On the ground of treating liver cirrhosis and its complications, reasonable nutritional intervention and exercise are currently important measures for the treatment of liver cirrhosis with sarcopenia, and the role of hormone supplementation and drug therapy for skeletal muscle metabolism needs to be further investigated.

Indexed as

SarcopeniaHumansLiver CirrhosisMuscle, SkeletalPrognosisAssessmentLiver cirrhosisSarcopeniaStrategyTreatment

Identifiers

PMID33902184
PMCPMC12814228
OpenAlexW3157109166

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.