Evidence map›Paper›PMID 34520115›Full record

ArticleJournal of cachexia, sarcopenia and muscle2021

Sarcopenia as a prognostic predictor of liver cirrhosis: a multicentre study in China.

Xin Zeng, Zhi-Wen Shi, Jia-Jun Yu, Li-Fen Wang, Yuan-Yuan Luo, Si-Min Jin, Li-Yuan Zhang, Wei Tan, Pei-Mei Shi, Hong Yu and 2 more

Registry-linked trialOpen access · goldAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06531200 (Building of Prognosis Model for Patients With Cirrhosis Based on Sarcopenia in Assessment With the Technology of Deep Learning), which is not on this map. Cited by 107 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 5 pooled it
12.5field-weighted citation impact, top 1% 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.

NCT06531200 not yet recruitingnot on this mapstarted 2024, after this paper: background citation

Building of Prognosis Model for Patients With Cirrhosis Based on Sarcopenia in Assessment With the Technology of Deep Learning

TypeobservationalSponsorPeking University People's HospitalRan2024 to 2025Enrolled1,000ConditionsCirrhosis, Liver, Sarcopenia
3 · Its place in the literature

Who cites it

107 citing papers in PubMed, 5 syntheses or guidelines pooled it, 150 citations in OpenAlex.

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47 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

Xin ZengDepartment of Gastroenterology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Zhi-Wen ShiDepartment of Gastroenterology, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Jia-Jun YuDepartment of Gastroenterology, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Li-Fen WangDepartment of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Yuan-Yuan LuoDepartment of Gastroenterology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Si-Min JinDepartment of Gastroenterology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Li-Yuan ZhangDepartment of Gastroenterology, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Wei TanDepartment of Gastroenterology, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Pei-Mei ShiDepartment of Gastroenterology, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Hong YuDepartment of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Chun-Qing ZhangDepartment of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Wei-Fen XieDepartment of Gastroenterology, Changzheng Hospital, Second Military Medical University, Shanghai, China.ORCID 0000-0002-7137-112X
Second Military Medical University · CNShandong Provincial Hospital · CNShanghai East Hospital · CNShanghai Jiao Tong University · CNShanghai Medical Information Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiagnostic criteria for sarcopenia have not been established in Chinese. This study established criteria based on the L3-skeletal muscle index (L3-SMI) and assessed its value for outcomes predicting in cirrhotic Chinese patients.

methodsTotally 911 subjects who underwent a CT scan at two centres were enrolled in Cohort 1 (394 male and 417 female subjects, aged 20-80 years). The data of those subjects younger than 60 years (365 male and 296 female subjects) were used to determine the reference intervals of the L3-SMI and its influencing factors. Cohort 2 consisted of 480 patients (286 male and 184 female patients) from three centres, and their data were used to investigate the prevalence of sarcopenia and evaluate the value of L3-SMI for predicting the prognosis and complications of cirrhosis.

resultsAge and sex had the greatest effects on the L3-SMI (P < 0.001). The L3-SMI scores were clearly higher in male patients than in female patients (52.94 ± 8.41 vs. 38.91 ± 5.65 cm

conclusionsSarcopenia is a common comorbidity of cirrhosis and can be used to predict cirrhosis-related complications and the prognosis.

Indexed as

End Stage Liver DiseaseSarcopeniaChinaFemaleHumansLiver CirrhosisMalePrognosisSeverity of Illness IndexCirrhosis-related complicationsDiagnostic criteriaL3 skeletal muscle indexLiver functionMalnutritionNutritional assessmentNutritional screeningPrognosis predictionSarcopeniaSurvival

Identifiers

PMID34520115
PMCPMC8718091
OpenAlexW3200569074

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.