Evidence map›Paper›PMID 39839629›Full record

ArticleFrontiers in medicine2024

Long-term trends in the burden of pulmonary arterial hypertension in China and worldwide: new insights based on GBD 2021.

Zhehao Xu, Jia Ding, Ruiyun Liang, Shuangfeng Xie

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. 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

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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
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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

4 authors.

Zhehao Xu *Department of General Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Jia Ding *Department of Hematology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Ruiyun LiangDepartment of Respiratory Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Shuangfeng XieDepartment of Hematology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary arterial hypertension (PAH) poses a significant health challenge globally, with China experiencing a notable increase in its burden. Understanding the trends and factors contributing to PAH is crucial for developing effective public health strategies. Methods: This study utilized data from the Global Burden of Disease (GBD) 2021 database to estimate the burden of PAH in China and worldwide from 1990 to 2021. A Bayesian age-period-cohort (BAPC) model was employed to analyze differences in PAH burden across age, gender, and time periods, and to project global epidemiological trends until 2036. Results: From 1990 to 2021, the incidence and prevalence of PAH in China increased by 80.59% and 86.74%, respectively. The age-standardized incidence rate (ASIR) and age-standardized prevalence rate (ASPR) showed an annual percentage change (AAPC) of -0.07% and 0.25%, respectively. Conversely, the age-standardized disability-adjusted life year (DALY) rate and age-standardized mortality rate (ASMR) have been declining since 1990, with AAPC of -1.90% and -1.26%, respectively. Females and the 50-70 years age group experienced a higher PAH burden compared to males. Projections indicate that ASPR, ASMR, and age-standardized death rate (ASDR) will stabilize with minimal variation over the next decade. Discussion: The findings highlight the age-related burden of PAH in China, particularly affecting older populations and women. The projected stabilization of PAH metrics over the next decade underscores the need for continued monitoring and targeted interventions. This study's comprehensive analysis of PAH burden over three decades provides valuable insights for policymakers and healthcare providers, necessitating concerted efforts to address this critical health issue.

Indexed as

age-period-cohort analysisglobal burden of diseasemortalityprevalenceprojectionpulmonary arterial hypertension

Identifiers

PMID39839629
PMCPMC11748298

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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.