Evidence map›Paper›PMID 38879469›Full record

ArticleBMC public health2024

Associations between allostatic load and hepatic steatosis and liver fibrosis: evidence from NHANES 2017-2020.

Zhikun Dai, Xiaohui Zhou

Abstract read
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Article in BMC public health, 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

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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

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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

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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.

Zhikun DaiDepartment of Infectious Diseases, The First Affiliated Hospital of Shantou University Medical College, Shantou , Guangdong, 515041, China.
Xiaohui ZhouDepartment of Infectious Diseases, The First Affiliated Hospital of Shantou University Medical College, Shantou , Guangdong, 515041, China. zxh5115stu@yeah.net.ORCID 0009-0007-5821-633X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAllostatic load, the cumulative strain resulting from chronic stress responses, has been linked to disease occurrence and progression, yet research quantifying this relationship is limited. This study aimed to explore the relationship between allostatic load score (ALS) levels and the degree of hepatic steatosis and fibrosis.

methodsData from the National Health and Nutrition Examination Survey 2017-2020 were analyzed. The ALS was based on the statistical distribution, assigning one point for each biomarker if it was in the highest risk quartile, and then summing them to generate the ALS score (range, 0-8). The multivariate linear regression was employed to analyze the association between the controlled attenuation parameter (CAP) and liver stiffness measurement (LSM) with ALS. Additionally, multinomial logistic regression was used to investigate the association between ALS and the degree of hepatic steatosis and fibrosis.

resultsParticipants had a weighted mean age of 52.69 years and 56.14% were female. In the multivariate linear regression analysis, ALS showed a significant positive correlation with CAP (β = 15.56, 95% CI: 14.50-16.62) and LSM (β = 0.58, 95% CI: 0.48-0.67). Age, healthy dietary level, and PIR had significant interactions with this positive correlation. In the multinomial logistic regression analysis, ALS exhibited a significant positive correlation with different degrees of hepatic steatosis and fibrosis. Consistency of the results was observed in sensitivity analyses using clinical thresholds of ALS.

conclusionsComprehensive clinical assessment targeting load adaptation may enhance the effectiveness of risk assessment in patients with hepatic steatosis and fibrosis.

Indexed as

AllostasisFatty LiverLiver CirrhosisNutrition SurveysAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsAllostatic LoadHepatic SteatosisLiver FibrosisNHANES

Identifiers

PMID38879469
PMCPMC11179389

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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.