Evidence mapPaperPMID 41579292Full record

ArticleEuropean journal of epidemiology2026

Social determinants disadvantage score and liver health in the All of Us Research Program.

Xinyuan Zhang, Longgang Zhao, Kai Zhang, David Vlahov, Yun Chen, Ann Hsing, Mindie H Nguyen, Katherine A McGlynn, Tamar Taddei, Lifang Hou and 1 more

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Article in European journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Xinyuan ZhangChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Longgang ZhaoYale University School of Nursing, Orange, CT, USA.
Kai ZhangDepartment of Population and Community Health, College of Public Health, The University of North Texas Health Science Center at Fort Worth, Fort Worth, TX, USA.
David VlahovYale University School of Nursing, Orange, CT, USA.
Yun ChenYale University School of Nursing, Orange, CT, USA.
Ann HsingDepartment of Medicine, Stanford Prevention Research Center and Department of Epidemiology and Population Health, Stanford University Medical Centre, Palo Alto, CA, USA.
Mindie H NguyenDepartment of Medicine, Stanford Prevention Research Center and Department of Epidemiology and Population Health, Stanford University Medical Centre, Palo Alto, CA, USA.
Katherine A McGlynnDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Tamar TaddeiDepartment of Internal Medicine, Section of Digestive Diseases, Yale University School of Medicine, New Haven, CT, USA.
Lifang HouCenter for Population Epigenetics, Robert H. Lurie Comprehensive Cancer Center and Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Suite 1400, 680 N Lake Shore Drive, Chicago Illinois, 60611, USA. l-hou@northwestern.edu.
Xuehong ZhangYale University School of Nursing, Orange, CT, USA. xuehong.zhang@yale.edu.

Funding

Inflammation and Hepatocellular Carcinoma: A Multiomics Approach to Improve Early Detection, Causal Inference, and Lifestyle Based PreventionK99CA296755 · BRIGHAM AND WOMEN'S HOSPITAL · 2025 to 2025
$166k
NCI NIH HHS K99 CA296755
6 · The paper itself

Abstract

Social determinants of health (SDOH) are crucial in shaping liver health outcomes, yet comprehensive assessments that span key SDOH domains are lacking. To address this knowledge gap, we developed a Social Determinants Disadvantage Score (SDDS) and examined its association with major adverse liver conditions. We conducted a cross-sectional analysis of 117,783 participants from the All of Us Research Program. The SDDS was systematically constructed using validated questionnaires covering economic stability, education, healthcare access and quality, neighborhood and built environment, and social and community context. Each question was scored on a 0 (most advantage) to 1 (most disadvantage) scale. Total SDDS was calculated as the mean of all questions, ranging from 0 to 1. We used logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the associations of SDDS with total and individual adverse liver conditions, including steatotic liver disease (SLD), metabolic dysfunction-associated steatohepatitis (MASH), alcoholic liver disease (ALD), cirrhosis, hepatocellular carcinoma (HCC), chronic hepatitis B virus (HBV), chronic hepatitis C virus (HCV), and hepatic failure based on the Electronic Health Record. Higher SDDS was associated with a higher risk of adverse liver conditions. The highest SDDS quintile (most disadvantaged) compared to the lowest SDDS quintile had an OR = 1.67 (95% CI: 1.55-1.79) for total adverse liver condition risk after adjusting for age, sex, race, and other covariates. Similar associations were observed for individual liver conditions. Per 10% higher SDDS, the adjusted OR (95% CI) was 1.25 (1.22-1.29) for SLD, 1.27 (1.19-1.35) for MASH, 1.15 (0.99-1.34) for ALD, 1.31 (1.25-1.39) for cirrhosis, 1.35 (1.15-1.59) for HCC, 1.24 (1.14-1.35) for HBV infection, 1.40 (1.33-1.48) for HCV infection, and 1.35 (1.21-1.50) for hepatic failure. Consistent associations were found for disadvantages in individual SDOH domains, score excluding missingness, and score with selected factors. The SDDS provides a comprehensive, validated tool for assessing SDOH and their associations with liver health. Our findings highlight significant associations between social disadvantage and the prevalence of adverse liver conditions, emphasizing the need for future longitudinal studies to inform targeted interventions.

Indexed as

Liver DiseasesSocial Determinants of HealthAdultCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedRisk FactorsSocioeconomic Disparities in HealthSocioeconomic FactorsSurveys and QuestionnairesUnited StatesChronic hepatitisHepatocellular carcinomaLiver cirrhosisSocial determinants of healthSteatotic liver disease

Identifiers

PMID41579292
PMCPMC12975775

What Socratic holds

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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 Socratic graph.