Evidence map›Paper›PMID 39060338›Full record

ArticleScientific reports2024

Association of Life's Essential 8 with metabolic dysfunction-associated steatotic liver disease (MASLD), a cross-sectional study from the NHANES 2003-2018.

Xiangliang Liu, Yu Chang, Feng Jia, Yuguang Li, Yao Wang, Jiuwei Cui

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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 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

6 authors.

Xiangliang Liu *The First Hospital of Jilin University, No.1 Xinmin Street, Changchun, China.
Yu Chang *The First Hospital of Jilin University, No.1 Xinmin Street, Changchun, China.
Feng Jia *The First Hospital of Jilin University, No.1 Xinmin Street, Changchun, China.
Yuguang LiThe First Hospital of Jilin University, No.1 Xinmin Street, Changchun, China.
Yao WangThe First Hospital of Jilin University, No.1 Xinmin Street, Changchun, China.
Jiuwei CuiThe First Hospital of Jilin University, No.1 Xinmin Street, Changchun, China. cuijw@jlu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is limited research on the relationship between Life's Essential 8 (LE8) score and metabolic dysfunction-associated steatotic liver disease (MASLD). Our aim is to investigate the relationship between overall lifestyle assessed by LE-8 score and MASLD in a nationally representative sample. We employed the LE8 score to comprehensively evaluate cardiovascular health, the assessment of MASLD primarily utilized the Fatty Liver Index. The weighted logistic regression models, restrictive cubic splines (RCS), subgroup analyses and the weighted quantile sum (WQS) regression were used to evaluate the relationship between the cardiovascular health and MASLD. Logistic regression models revealed that higher LE8 scores were associated with lower odds of having MASLD. The RCS revealed a significant nonlinear dose-response relationship between LE8 scores and MASLD. The WQS regression model indicated that blood glucose contributed the most to the risk of MASLD. The subgroup analysis indicates that there are significant differences in this association across age, educational level, and poverty income ratio. Our study suggests that an inverse correlation between LE8 and the risk of MASLD. Our findings underscore the utility of the LE8 algorithm in MASLD risk assessment and provide support for MASLD prevention through the promotion of healthy lifestyles.

Indexed as

Nutrition SurveysAdultAgedCross-Sectional StudiesFatty LiverFemaleHumansLife StyleMaleMetabolic DiseasesMiddle AgedRisk AssessmentRisk FactorsUnited StatesCardiovascular Health (CVH)Life’s Essential 8 (LE8)Metabolic dysfunction-associated steatotic liver disease (MASLD)NHANESRestrictive cubic spline (RCS)Weighted quantile sum regression (WQS) model

Identifiers

PMID39060338
PMCPMC11282211

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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.