Table 8_Association between the aMAP risk score and mortality in the MASLD/MetALD/ALD pati
by Peng-yang Li·Updated 1mo ago
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Description
A cohort study of 32,654 participants from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, authored by Peng-yang Li. It investigates the association between the aMAP risk score and all-cause, cardiovascular, and cancer mortality in patients with Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD), MetALD, and Alcohol-related Liver Disease (ALD). The dataset includes results from multivariable Cox models and an external validation cohort of 642 Southern Chinese patients.
Use Cases
Validate the aMAP score as a mortality predictor based on the described cohort study results.
Analyze non-linear risk relationships based on the restricted cubic spline analysis mentioned.
Compare mortality risks across SLD subclassifications (MASLD, MetALD, ALD) based on the reported hazard ratios.
Perform external validation of risk scores using the described independent hospital-based cohort.
Strengths
Includes data from 32,654 participants from a nationally representative survey (NHANES).
Provides external validation from an independent cohort of 642 Southern Chinese patients.
Covers a 20-year time range (1999-2018) with mortality follow-up through 2019.
Reports specific prevalence rates for MASLD (41.14%), MetALD (2.22%), and ALD (0.79%).
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
The dataset is very small (26.9 KB), suggesting it may contain summary results rather than raw patient-level data.
Provenance
Source
National Health and Nutrition Examination Survey (NHANES) and an independent hospital-based Southern Chinese cohort.
Collection Method
Cohort study using multivariable Cox proportional hazards models, restricted cubic spline analysis, and Kaplan–Meier curves.
Time Range
1999 to 2018 (NHANES data), with mortality follow-up through December 31, 2019.
Freshness
Last updated 2026-04-24 13:49:18; freshness should be verified.
Geography
United States (NHANES) and Southern China (validation cohort).
Primary file format is DOCX, which may require specific tools for access and data extraction.