Evidence map›Paper›PMID 41122570›Full record

ArticleCureus2025

A Retrospective Study to Assess Temporal Trends in Mortality Related to Liver Disease From 1999 to 2020 in Patients With Depression in the United States.

Bryan P Vintimilla Herrera, Srikanth Chittareddy, Christopher Williams Valsaint, Leandro Feo

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In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Bryan P Vintimilla HerreraSurgery, Independent Research, Little Ferry, USA.
Srikanth ChittareddySurgery, Malla Reddy Institute of Medical Sciences, Hyderabad, IND.
Christopher Williams ValsaintSurgery, Faculte De Medecine et de Pharmacie de I'Universite d'Etat d'Haiti, Port-au-Prince, HTI.
Leandro FeoGastrointestinal Surgery, Delray Medical Center, Delray Beach, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLiver diseases are major causes of mortality, and their association with depression remains underexplored. Understanding this relationship is essential in identifying high-risk populations and developing targeted public health interventions.

aimsThis study aims to analyze mortality trends and demographic disparities in liver disease with depression as a contributing cause, using the Centers for Disease Control and Prevention (CDC) Multiple Cause of Death (MCD) database (1999-2020). METHODOLOGY: A retrospective observational study was conducted using the CDC MCD database to assess mortality trends in individuals aged 25 years and older in the United States from 1999 to 2020. The study included deaths where liver disease (ICD-10: K70-K76) was listed as the underlying cause and depression (ICD-10: F32) as a contributing cause. Data were analyzed by age, gender, race, geographic region, and place of death. Age-adjusted mortality rates (AAMR) and annual percentage change (APC) were calculated.

resultsA total of 3,945 deaths were recorded. The AAMR initially increased (+8.25% APC from 1999 to 2007) and kept increasing slightly (+8.41% APC from 2010 to 2020). The highest mortality was observed in males (N = 2075, 52.6%), White individuals (N = 3647, 92.4%), and metropolitan regions (N = 3142, 79.7%). Temporal trends showed a higher AAMR in females from 2011 to 2020 (+11.99% APC) compared to 1999-2006 (+11.94%).

conclusionsOverall, AAMR is trending upward. Our findings emphasize the need for targeted prevention strategies and improved healthcare access across all demographics.

Indexed as

age-adjusted mortality ratecdc mcdchronic liver disease (cld)depressionliver disease

Identifiers

PMID41122570
PMCPMC12536238

What Socratic holds

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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 Socratic graph.