Evidence map›Paper›PMID 37601187›Full record

ArticleFrontiers in public health2023

Analysis of the disease burden of cardiomyopathy in children aged 0-14 years in China from 1990 to 2019.

Qingyu Kong, Meng Li, Minmin Wang, Haizhao Zhao, Xiaorong Yang, Cuifen Zhao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 33% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Qingyu KongDepartment of Pediatric Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Meng LiDepartment of Pediatric Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Minmin WangDepartment of Pediatric Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Haizhao ZhaoDepartment of Pediatric Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Xiaorong YangClinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Cuifen ZhaoDepartment of Pediatric Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Qilu Hospital of Shandong University · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To assess the disease burden and changing trend of cardiomyopathy in children aged 0-14 years in China from 1990 to 2019. Methods: This study was based on the Global Burden of Disease Study 2019; the age-specific prevalence rate, mortality rate and disability-adjusted life year (DALY) rate were used for analysis. Estimated annual percentage change (EAPC) in burden rate and its 95% confidence interval were calculated. The data of China were compared with the global average level. Results: In 2019, the numbers of prevalence, deaths, and DALYs of cardiomyopathy in children aged 0-14 years in China were 4,493 [95% uncertainty interval ( Conclusion: From 1990 to 2019, the disease burden of cardiomyopathy in children of China aged 0-14 years was heterogeneous; the burden of male children was higher than females; and the burden of cardiomyopathy in children younger than 1 year old needs more attention.

Indexed as

CardiomyopathiesCost of IllnessAdolescentAsian PeopleChildChild, PreschoolChinaFemaleHumansInfantInfant, NewbornMalecardiomyopathychildrenChinadisability-adjusted life yearsmortalityprevalence

Identifiers

PMID37601187
PMCPMC10436593
OpenAlexW4385579166

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.