Evidence map›Paper›PMID 39389917›Full record

ArticleJournal of cachexia, sarcopenia and muscle2024

Body Composition and Progression of Biopsy-Proven Non-Alcoholic Fatty Liver Disease in Patients With Obesity.

Qianyi Wan, Xingzhu Liu, Jinghao Xu, Rui Zhao, Shiqin Yang, Jianrong Feng, Zhan Cao, Jingru Li, Xiaopeng He, Haiou Chen and 3 more

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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

13 authors.

Qianyi WanDepartment of General Surgery, Division of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, China.
Xingzhu LiuLaboratory of Metabolism and Aging Research, National Clinical Research Center for Geriatrics and State key Laboratory of Respiratory Health and Multimorbidity, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Jinghao XuDepartment of General Surgery, Division of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, China.
Rui ZhaoDepartment of General Surgery, Division of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, China.
Shiqin YangWest China School of Medicine, Sichuan University, Chengdu, China.
Jianrong FengWest China School of Medicine, Sichuan University, Chengdu, China.
Zhan CaoWest China School of Medicine, Sichuan University, Chengdu, China.
Jingru LiWest China School of Medicine, Sichuan University, Chengdu, China.
Xiaopeng HeWest China School of Medicine, Sichuan University, Chengdu, China.
Haiou ChenWest China School of Medicine, Sichuan University, Chengdu, China.
Jinbao YeLaboratory of Metabolism and Aging Research, National Clinical Research Center for Geriatrics and State key Laboratory of Respiratory Health and Multimorbidity, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Haiyang ChenWest China School of Medicine, Sichuan University, Chengdu, China.
Yi ChenDepartment of General Surgery, Division of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0003-4885-6097

Funding

China Postdoctoral Science Foundation 2023TQ0225National Natural Science Foundation of China 92157109Postdoctoral Fellowship Program of China Postdoctoral Science Foundation GZC20231818Sichuan Province Natural Science Foundation 24NSFSC6777
6 · The paper itself

Abstract

backgroundObesity is a significant risk factor for the progression of non-alcoholic fatty liver disease (NAFLD). However, a convenient and efficacious non-invasive test for monitoring NAFLD progression in patients with obesity is currently lacking. This study aims to investigate the associations between CT-based body composition and the progression of biopsy-proven NAFLD in patients with obesity.

methodsLiver biopsy was conducted in patients with obesity, and the progression of NAFLD was evaluated by the NAFLD activity score (NAS). Body composition was assessed through abdominal computed tomography (CT) scans.

resultsA total of 602 patients with an average age of 31.65 (±9.33) years old were included, comprising 217 male patients and 385 female patients. The wall skeletal muscle index (SMI), total SMI, and visceral fat index (VFI) were positively correlated with NAS in both male and female patients. Multivariate regression analysis demonstrated significant associations between high liver steatosis and wall SMI (HR: 1.60, 95% CI: 1.12 to 2.30), total SMI (HR: 1.50, 95% CI: 1.02 to 2.08), VSI (HR: 2.16, 95% CI: 1.48 to 3.14), visceral fat to muscle ratio (HR: 1.51, 95% CI: 1.05 to 2.18), and visceral to subcutaneous fat ratio (HR: 1.51, 95% CI: 1.07 to 2.12). Non-alcoholic steatohepatitis (NASH) was significantly associated with wall SMI (HR: 1.52, 95% CI: 1.06 to 2.19) and VSI (HR: 1.50, 95% CI: 1.03 to 2.17). Liver fibrosis ≥ F2 was significantly associated with psoas muscle index (HR: 0.64, 95% CI: 0.44 to 0.93) and psoas skeletal muscle density (HR: 0.61, 95% CI: 0.41 to 0.89).

conclusionsOur study suggested that certain CT-based body composition indicators, notably high VFI, were significantly associated with the progression of NAFLD in patients with obesity. Great attentions and timely managements should be given to these patients with body composition characteristics associated with the risk of NAFLD progression.

Indexed as

Body CompositionDisease ProgressionNon-alcoholic Fatty Liver DiseaseObesityAdultBiopsyFemaleHumansMaleMiddle AgedTomography, X-Ray Computedbody compositionnon‐alcoholic fatty liver diseasenon‐alcoholic steatohepatitisobesity

Identifiers

PMID39389917
PMCPMC11634503

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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.