Evidence map›Paper›PMID 36741848›Full record

ArticleFrontiers in cardiovascular medicine2022

Changing trends of the disease burden of non-rheumatic valvular heart disease in China from 1990 to 2019 and its predictions: Findings from global burden of disease study.

Xiaoxin Zheng, Qing Guan, Xiuquan Lin

Abstract read
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Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  11. Advances in diagnosis and treatment of mechanical hemolysis following percutaneous interventional for valvular heart diseases.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
    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

3 authors.

Xiaoxin ZhengDepartment of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, Fujian, China.
Qing GuanThe School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Xiuquan LinDepartment for Chronic and Non-Communicable Disease Control and Prevention, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: China has an increasing burden of non-rheumatic valvular heart disease (NRVHD) as the aging of the population is deepening. The aim was to assess the age and sex-specific prevalence and DALYs of NRVHD in China from 1990 to 2019 and to predict the burden in the next 25 years. Methods: The Global Burden of Disease Study (2019) was used to extract the data of age- and sex-specific incidence, mortality, and disability-adjusted life years (DALYs) of NRVHD in China, 1990-2019. We estimated the annual percentage change (EAPC) to access the temporal trends of the disease burden of NRVHD. The R package called Nordpred was used to perform an age-period-cohort analysis to predict the prevalence of NRVHD in the next 25 years. Results: The number of incident cases of NRVHD increased from 93.16 thousand in 1990 to 325.05 thousand in 2019. Overall upward trends were observed in the age-standardized incidence rate (ASIR) from 1990 to 2019. Significant temporal trends in mortality and DALYs of NRVHD were observed. High systolic blood pressure, high sodium diet, and lead exposure were the main driving forces for NRVHD. In the next 25 years, the number of new cases and deaths of NRVHD should continue to increase to 390.64 thousand and 10.0 thousand, respectively. The ASIR should show an upward trend, while the ASMR should show a downward trend among men and women. Conclusion: In China, the overall rates of NRVHD have increased over the past 30 years, and there has been a substantial increase in the burden of NRVHD due to population growth and aging and will continue to increase in the next 25 years. Our results can help shape a multifactorial approach and public policy to reduce the NRVHD burden throughout China.

Indexed as

disease burdennon-rheumatic valvular heart diseasepredictionrisk factortemporal trend

Identifiers

PMID36741848
PMCPMC9897059

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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.