Evidence map›Paper›PMID 39634629›Full record

ArticleJGH open : an open access journal of gastroenterology and hepatology2024

Forecasting Alcohol-Related Liver Disease Mortality Trends in Younger Populations Using Advanced Time-Series Models: A 1999-2030 Analysis.

Hassam Ali, Vinay Jahagirdar, Hanna Blaney, Dushyant Singh Dahiya, Manesh K Gangwani, Pratik Patel, Umar Hayat, Fouad Jaber, Douglas A Simonetto, Sanjaya K Satapathy

Abstract read
In one paragraph

Article in JGH open : an open access journal of gastroenterology and hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Hassam AliDepartment of Gastroenterology, Hepatology & Nutrition ECU Health Medical Center/Brody School of Medicine Greenville North Carolina USA.ORCID https://orcid.org/0000-0001-5546-9197
Vinay JahagirdarDepartment of Internal Medicine University of Missouri-Kansas City School of Medicine Kansas City Missouri USA.
Hanna BlaneyDivision of Gastroenterology and Hepatology University of Maryland School of Medicine Baltimore Maryland USA.
Dushyant Singh DahiyaDivision of Gastroenterology, Hepatology & Motility The University of Kansas School of Medicine Kansas City Kansas USA.ORCID https://orcid.org/0000-0002-8544-9039
Manesh K GangwaniDepartment of Medicine University of Toledo Medical Center Toledo Ohio USA.
Pratik PatelDepartment of Gastroenterology Mather Hospital/Hofstra University Zucker School of Medicine Port Jefferson New York USA.
Umar HayatDepartment of Internal Medicine Geisinger Wyoming Valley Medical Center Wilkis Barre Pennsylvania USA.
Fouad JaberDepartment of Internal Medicine University of Missouri-Kansas City School of Medicine Kansas City Missouri USA.
Douglas A SimonettoDivision of Gastroenterology and Hepatology Mayo Clinic Rochester Minnesota USA.
Sanjaya K SatapathyDivision of Hepatology, Sandra Atlas Bass Center for Liver Diseases and Transplantation Donald and Barbara Zucker School of Medicine, Northwell Health Manhasset New York USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Alcohol-related liver disease (ALD) has emerged as a significant public health concern, particularly among younger populations. ALD remains the leading cause of alcohol-attributable deaths. This study aims to forecast ALD mortality trends up to 2030, focusing on individuals under 55 years. Methods: We utilized data from the CDC WONDER database (1999-2022) to examine ALD-related deaths, identified by ICD-10 codes (K70.0-K70.9). Crude mortality rates (CMRs) per 100 000 were analyzed and temporal trends were assessed using annual and average annual percent changes (APC/AAPC) with empirical quantile confidence intervals. An Autoregressive Integrated Moving Average (ARIMA) model was employed to project mortality rates until 2030, validated through time series cross-validation. Results: From 1999 to 2022, there were 181 862 ALD-related deaths among individuals under 55, with mortality rates increasing from 3.9 per 100 000 in 1999 to 9.7 per 100 000 in 2022 (AAPC 4.66%, 95% CI: 3.90%-5.86%). Projections suggest rates will continue to rise, reaching 14.4 per 100 000 by 2030. From 1999 to 2022, the 25-34 age group experienced the highest increase, with an AAPC of 10.27% (95% CI: 9.19%-11.35%), while the 35-44 and 45-54 age groups showed more moderate increases, with AAPCs of 5.03% and 4.38%, respectively. Projections indicate an AAPC of 3.86% for ages 25-34, 3.90% for ages 35-44, and 6.17% for ages 45-54 by 2030. Conclusion: Forecasts indicate a continued rise in ALD mortality among individuals under 55, necessitating immediate public health strategies to mitigate this trend.

Indexed as

alcohol‐related disordersARIMACDC WONDERepidemiologyforecastingliver diseasesmachine learningmortalitypublic healthyoung adults

Identifiers

PMID39634629
PMCPMC11614748

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Registered trials

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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.