ReviewAnnals of medicine and surgery (2012)2025
Ischemic heart disease-related mortality trends in the United States (1999-2020) and prediction using machine learning.
Review in Annals of medicine and surgery (2012), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed.
- Two decades of pulmonary vascular disease and ischemic heart disease mortality in the united states: A longitudinal analysis using CDC WONDER (1999-2020).Journal of thrombosis and thrombolysis · 2026Article
- National trends and county-level geographic disparities in mortality from operationally defined cardiovascular-kidney-metabolic stages 4 and 4b in the United States.Frontiers in cardiovascular medicine · 2026Article
- Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Ischemic heart disease (IHD) remains the leading cause of mortality globally, contributing significantly to rising healthcare costs. This study aims to analyze trends in IHD-related mortality from 1999 to 2020 using data from the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database. Methods: Mortality data from 1999 to 2020 were extracted from the CDC WONDER database, with IHD identified as the primary cause of death (International Classification of Diseases, 10th Revision Codes: I20-I25). Age-adjusted mortality rates (AAMRs) were calculated and analyzed. Trends were assessed using Joinpoint Regression Analysis to determine the annual percentage change (APC). Additionally, predictive modeling was performed using an autoregressive integrated moving average model implemented in Python and Generative Pre-trained Transformer 4. Results: The study observed a decline in AAMR over the 22-year period, totaling 9 105 056 deaths. The APC revealed a significant decline in mortality rates until 2011 [APC: -4.99, Conclusions: The observed slowing in the decline of IHD mortality rates and the potential for future increases underscore the need for sustained public health interventions and vigilant surveillance to mitigate the burden of IHD.
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Registered trials
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.