Evidence map›Paper›PMID 37781108›Full record

ArticleFrontiers in nutrition2023

Sarcopenia defined with L3-SMI is an independent predictor of survival in male patients with ARLD in mainland China.

Yu Zhang, Liangui Wei, Chunyan Chang, Fangfang Duan, Min Quan, Song Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2023. 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
0.7field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Yu ZhangDepartment of Hepatology, Beijing Ditan Hospital of Capital Medical University, Beijing, China.
Liangui WeiDepartment of Radiology, Beijing Ditan Hospital of Capital Medical University, Beijing, China.
Chunyan ChangDepartment of Hepatology, Beijing Ditan Hospital of Capital Medical University, Beijing, China.
Fangfang DuanDepartment of Hepatology, Beijing Ditan Hospital of Capital Medical University, Beijing, China.
Min QuanDepartment of Hepatology, Beijing Ditan Hospital of Capital Medical University, Beijing, China.
Song YangDepartment of Hepatology, Beijing Ditan Hospital of Capital Medical University, Beijing, China.
Beijing Ditan Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The burden of alcohol-related liver disease (ARLD) is increasing in China. Patients with ARLD are more likely to have comorbid sarcopenia, which may impair their survival. This study aimed to evaluate the relationship between the prognoses of patients with ARLD and sarcopenia, identified using the skeletal muscle index at the third lumbar vertebra level (L3-SMI). Methods: Hospitalized patients with ARLD were retrospectively enrolled between 2015 and 2018 and followed up for 24 months to evaluate their survival profiles. Cox proportional hazards regression models were used to estimate patient survival factors. A receiver operating characteristic curve was created to identify the cut-off point of the L3-SMI for predicting the prognoses of Chinese patients with ARLD. Results: The study enrolled 168 male patients with ARLD who were followed-up for 24 months or until a study endpoint was met. The overall L3-SMI in patients with ARLD was 42.61 ± 9.15 cm Conclusion: Sarcopenia is an independent mortality risk factor in male patients with ARLD in mainland China. Early diagnosis and intervention of sarcopenia are important for optimizing the management of patients with ARLD.

Indexed as

alcohol-related liver diseaseL3-SMIprognosissarcopeniasurvival

Identifiers

PMID37781108
PMCPMC10540780
OpenAlexW4386836755

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.