Evidence map›Paper›PMID 38047245›Full record

ArticleChina CDC weekly2023

Unintentional Drowning Mortality Among Individuals Under Age 20 - China, 2013-2021.

Zi Li, Xiao Deng, Ye Jin, Leilei Duan, Pengpeng Ye

Abstract read
In one paragraph

Article in China CDC weekly, 2023. 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

5 authors.

Zi LiNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiao DengNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ye JinNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Leilei DuanNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Pengpeng YeNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study seeks to elucidate the evolving trend and identify disparities among subgroups in the mortality rate due to unintentional drowning in individuals under the age of 20 from the timeframe of 2013 to 2021 in China. Methods: Data retrieved from the National Mortality Surveillance System served as a foundation for estimating the unintentional drowning mortality rate. The inadvertent drowning mortality rate for individuals below the age of 20 was computed, differentiated by categorization groups such as age, gender, areas, and regions within each given year. The linear regression model was employed to calculate the annual percent of change (APC) with its 95% confidence interval ( Results: In 2021, the inadvertent drowning fatality rate for individuals under 20 years of age in China was recorded at 3.28 per 100,000. A steady reduction was observed in the national drowning mortality rate from 6.60 per 100,000 in 2013 down to 3.28 per 100,000 in 2021, signifying a cumulative decrease of 50.30% [APC=-9.06% (95% Conclusion: An analysis of the data from 2013 to 2021 reveals a declining trend in the mortality rate due to unintentional drowning among individuals under 20 years of age in China. However, the rate of decline varied when stratified by sex, urban versus rural locations, age-specific groups, and geographical regions.

Indexed as

ChinaDrowningMortalityTrend Analysis

Identifiers

PMID38047245
PMCPMC10689961

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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.