Evidence map›Paper›PMID 41209075›Full record

ArticleClinical hypertension2025

Global, regional, and national burden of hypertensive heart disease in 1990-2021, with forecasts to 2050: a Global Burden of Disease Study 2021.

Chaemin Lee, Seung Ha Hwang, Jaehyeong Cho, Sooji Lee, Seohyun Hong, Tae Hyeon Kim, Hayeon Lee, Jinseok Lee, Damiano Pizzol, Lee Smith and 3 more

Abstract read
In one paragraph

Article in Clinical hypertension, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

13 authors.

Chaemin LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0009-2865-224X
Seung Ha HwangCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0004-0066-3047
Jaehyeong ChoCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0008-7892-3741
Sooji LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0002-1413-378X
Seohyun HongCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0005-8111-7773
Tae Hyeon KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0008-8555-8156
Hayeon LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0000-2403-6241
Jinseok LeeDepartment of Biomedical Engineering, Kyung Hee University, Yongin, Republic of Korea.ORCID https://orcid.org/0000-0002-8580-490X
Damiano PizzolHealth Unit, Eni, San Donato Milanese, Italy.ORCID https://orcid.org/0000-0003-4122-0774
Lee SmithCentre for Health, Performance, and Wellbeing, Anglia Ruskin University, Cambridge, UK.ORCID https://orcid.org/0000-0002-5340-9833
Jiyoung HwangCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-7778-374X
So Young YangCardiovascular Center, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-5973-7889
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-1628-9948

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite its substantial burden, hypertensive heart disease (HHD) remains underrecognized. We aimed to investigate the global burden of HHD projected up to 2050. Methods: We utilized data from the Global Burden of Disease Study (GBD) 2021 to estimate the global HHD burden. The burden was assessed using prevalence, death, and disability-adjusted life years (DALYs), stratified by region, age, sex, and Socio-demographic Index (SDI), with all estimates accompanied by 95% uncertainty intervals (UIs). We ranked age-standardized DALY rates attributable to six risk factors. Forecasting analysis was conducted using the GBD 2021 forecast framework, supplemented by Das Gupta decomposition analysis. Results: From 1990 to 2021, the global age-standardized prevalence rate increased from 125.44 per 100,000 population (95% UI, 98.97-157.96) to 148.32 (117.32-186.28). In contrast, age-standardized mortality and DALY rates declined to 16.31 per 100,000 population (95% UI, 13.76-18.01) and 301.58 (255.06-332.06), respectively. HHD burden increased with age and was more pronounced in women, particularly among older populations. High systolic blood pressure ranked first among six identified risk factors. Forecasting up to 2050 projected increases in age-standardized mortality (19.11 [95% UI, 13.24-27.45]) and DALY rates (367.80 [255.27-524.52]), despite declining trends over the past three decades. Population growth was the main driver of the projected increase, as shown by Das Gupta decomposition. Conclusions: The rising burden of HHD calls for a shift away from traditional, fragmented approaches focused solely on blood pressure control. Integrated clinical and policy responses are urgently needed to address the complex and multifactorial nature of the disease.

Indexed as

DALYGBDHypertensive heart diseaseMortalityPrevalence

Identifiers

PMID41209075
PMCPMC12591864

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.