Evidence map›Paper›PMID 41426811›Full record

ArticleCureus2025

Mortality Trends in the United States of America Among Adults With Thyroid Disorders and Cardiac Arrest as a Contributing Cause: A Retrospective Observational Study.

Gourav Gourisaria, Sonali Prasad, Andrew A James, Sanny S Samson

Abstract read
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.

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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.

Gourav GourisariaAcute Internal Medicine, Sandwell and West Birmingham Hospitals NHS Trust, West Midlands, GBR.
Sonali PrasadCritical Care, Teerthanker Mahaveer University, Moradabad, IND.
Andrew A JamesSurgery, The University of the West Indies, Kingston, JAM.
Sanny S SamsonSurgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Thyroid disorders can influence cardiovascular function, often leading to complications such as arrhythmias and cardiac arrest. However, mortality trends in adults with thyroid disorders and cardiac arrest as a contributing cause have not been well described. Objective This study aimed to evaluate temporal mortality trends in adults in the USA with thyroid disorders and cardiac arrest, considering demographics and geography, from 1999 to 2020. Methodology A retrospective observational study was conducted using the Centers for Disease Control and Prevention Wide-ranging ONline Data for Epidemiologic Research (CDC WONDER) multiple cause of death database. Deaths with thyroid disorders (International Classification of Diseases, 10th Revision or ICD-10: E00-E07) as the underlying cause and cardiac arrest (ICD-10: I46) as a contributing cause were analyzed among individuals aged ≥25 years. Mortality rates were age-adjusted to the 2000 U.S. standard population, and temporal trends were expressed as annual percentage change (APC). Results Between 1999 and 2020, 7,829 deaths were identified, corresponding to a crude rate of 1.7 per 1,000,000. Females accounted for 74.9% of deaths, and White individuals represented 84.1%. Most deaths occurred in metropolitan areas (82%) and medical facilities (42%). Age-adjusted mortality rates declined from 1999-2009 (APC: -5.0%, p<0.05) and gradually increased from 2009-2020 (APC: +1.2%, p<0.05). Conclusion Mortality associated with thyroid disorders and cardiac arrest has shown shifting trends and disparities by sex, race, and geography. Continued efforts are needed to understand contributing factors and improve prevention strategies.

Indexed as

cardiac arrestcardiovascular diseasecdc wondermortality trendsthyroid disorders

Identifiers

PMID41426811
PMCPMC12712398

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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.