Evidence map›Paper›PMID 31702619›Full record

SynthesisMedicine2019

Status of injuries as a public health burden among children and adolescents in China: A systematic review and meta-analysis.

Ziyu Wang, Hui Chen, Taolin Yu, Siyun Liu, Ming Hu

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

5 authors.

Ziyu WangDepartment of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha.
Hui ChenDepartment of Medicine, Betta Pharmaceuticals Co., Ltd., Hangzhou.
Taolin YuDepartment of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha.
Siyun LiuDepartment of Medical Records, Chongqing General Hospital, Chongqing, China.
Ming HuDepartment of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInjuries among children and adolescents remain a major public health problem in China. In the present study, we undertook a systematic review and meta-analysis of the published literature of epidemiological studies investigating injuries among children and adolescents in China and aimed to describe the status of injury among children and adolescents (aged 0-19 years) in China nationwide. A random-effects meta-analysis model was used to calculate the pooled prevalence of injury with 95% confidence intervals (CIs) across studies. The potential heterogeneity moderators were identified by subgroup and sensitivity analysis. A total of 775,615 children and adolescents were included in this study. Overall, the pooled injury prevalence among children and adolescents aged 0 to 19 years was 23.0% (95% CI 20.0%-27.0%) in studies using 1996 version of injury definition, and 13.0% (95% CI 10.0%-17.0%) in studies using 2004 version of injury definition. Relevant heterogeneity moderators have been identified by subgroup analysis. Sensitivity analysis yielded consistent results.

conclusionOur study shows a moderately high injury prevalence among children and adolescents aged 0 to 19 years in China, more prevention policies and programs should be urgently developed to decrease the occurrence of child and adolescent injury.

Indexed as

Cost of IllnessAdolescentChildChild, PreschoolChinaFemaleHumansInfantInfant, NewbornMalePrevalencePublic HealthWounds and Injuries

Identifiers

PMID31702619
PMCPMC6855559

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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.