Evidence map›Paper›PMID 39553848›Full record

ArticleFrontiers in cardiovascular medicine2024

Global, regional, and national time trends in ischaemic heart disease incidence over three decades (1990-2019): an age-period-cohort analysis of the global burden of disease study 2019.

Juan Tang, Shaobo Hu, Xiaozhu Liu, Huan Li, Lirong Kuang, Lei Zhang, Wenzhai Cao, Ting Zhang, Xiaoyan Guan, Lang Li and 4 more

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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

14 authors.

Juan Tang *Scientific Research Department, First People's Hospital of Zigong City, Zigong, China.
Shaobo Hu *Department of Neurosurgery, The Affiliated Li Huili Hospital, Ningbo University, Ningbo, China.
Xiaozhu Liu *Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Huan LiChongqing College of Electronic Engineering, Chongqing, China.
Lirong KuangDepartment of Ophthalmology, Wuhan Wuchang Hospital (Wuchang Hospital Affiliated to Wuhan University of Science and Technology), Wuhan, China.
Lei ZhangGuangdong Provincial Institute of Biological Products and Materia Medica, Guangzhou, China.
Wenzhai CaoDepartment of Cardiology, First People's Hospital of Zigong City, Zigong, China.
Ting ZhangScientific Rresearch Center, Sichuan Vocational College of Health and Rehabilitation, Zigong, China.
Xiaoyan GuanScientific Research Department, First People's Hospital of Zigong City, Zigong, China.
Lang LiFirst People's Hospital of Zigong City, Zigong Academy of Medical Sciences, Zigong, China.
Yutao ZhangDepartment of Pathology, First People's Hospital of Zigong City, Zigong, China.
Shengxian Peng *Scientific Research Department, First People's Hospital of Zigong City, Zigong, China.
Qingwei ZhangKey Laboratory Gastroenterology and Hepatology, State Key Laboratory for Oncogenes and Related Genes, Division of Gastroenterology and Hepatology, Ministry of Health, School of Medicine, Renji Hospital, Shanghai Institute of Digestive Disease, Shanghai Jiao Tong University, Shanghai, China.
Xiaoqian ZhouDepartment of Cardiovascular, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To assess the prevailing trends in the incidence of ischemic heart disease (IHD) across 204 countries and territories from 1990 to 2019, and to elucidate their correlations with age, period, and birth cohort, a comprehensive analysis was conducted. Methods: From 1990 to 2019, we employed the Global Burden of Disease Study (GBD) Results Tool in conjunction with an age-period-cohort model. This approach facilitated the estimation of annual percentage changes in incidence, referred to as net drifts, encompassing the overall population. Additionally, we calculated annual percentage changes spanning ages 15 - 19 to 95 + years, denoted as local drifts. Furthermore, our analysis involved determining period and cohort relative risks, elucidating the effects associated with distinct periods and birth cohorts. Results: Globally, 21,203,479 [95% uncertainty interval (UI): 18,799,322 - 23,704,124] cases of IHD occurred in 2019. There were 33 countries with at least 100000 cases. Between 1990 and 2019, the net drift of IHD incidence exhibited a range from -1.7% per year [95% confidence interval (CI): -1.79, -1.61] in countries with a high socio-demographic index (SDI) to 0.08% per year (95% CI: 0.05, 0.11) in countries with a low SDI. Age effects across all countries and genders demonstrated an increasing trend over time, indicating age as a significant risk factor for IHD. Moreover, period and cohort effects in higher SDI countries exhibited a more rapid decline in both genders compared to lower SDI countries. The findings indicated that nations with a higher SDI manifested overall favorable trends in the relative risk of IHD incidence, both across time and in successive younger birth cohorts. Discussion: The incidence of IHD serves as a valuable and accessible indicator for assessing trends in IHD provision, spanning from early youth through later life. Enhancements in IHD prevention have the potential to mitigate risks for successively younger cohorts and, over time, redistribute the risk across all age groups. Despite global declines in IHD incidence over the last three decades, decreasing trends in incidence have slowed and, in some countries, flattened. Many countries have experienced unfavorable period and cohort effects.

Indexed as

age-period-cohortdifferenceshealthyincidenceischemic heart disease

Identifiers

PMID39553848
PMCPMC11563781

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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.