Evidence map›Paper›PMID 34083336›Full record

ArticleBMJ open2021

Trends of injury mortality during the COVID-19 period in Guangdong, China: a population-based retrospective analysis.

Xue-Yan Zheng, Si-Li Tang, Shu-Li Ma, Wei-Jie Guan, Xiaojun Xu, Haofeng Xu, Ying-Shan Xu, Yan-Jun Xu, Li-Feng Lin

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Have Deaths of Despair Risen during the COVID-19 Pandemic? A Systematic Review.International journal of environmental research and public health · 2022
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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

9 authors at 4 institutions in 1 country.

Xue-Yan ZhengGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Si-Li TangSchool of Public Health, Southern Medical University, Guangzhou, China.ORCID 0000-0002-3687-3458
Shu-Li MaDepartment of Epidemiology and Biostatistics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
Wei-Jie GuanState Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Xiaojun XuGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Haofeng XuGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Ying-Shan XuGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Yan-Jun Xu *Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China 1396320174@qq.com 759888406@qq.com.
Li-Feng Lin *Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China 1396320174@qq.com 759888406@qq.com.
Guangdong Provincial Center for Disease Control and Prevention · CNFirst Affiliated Hospital of Guangzhou Medical University · CNGuangdong Pharmaceutical University · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to ascertain the trends of injury mortality during the COVID-19 period in southern China.

methodsWe conducted a population-based retrospective analysis to compare the mortality changes of all-cause injury and transport injuries, poisoning, falls, fire/heat/hot substances, drowning, self-harm and interpersonal violence, which were further stratified by sex and age. Comparisons were made between the COVID-19 period (between January 2020 and June 2020) and control period (between January 2019 and June 2019) in Guangdong province. We used the negative binomial models to explore the associations of deaths during the COVID-19 period, according to the different sex and age strata.

resultsThe all-cause injury mortality in Guangdong province decreased significantly from 28.65 per 100 000 population during the control period to 23.24 per 100 000 population during COVID-19 pandemic period. Similar results were found in specific injury categories. Mortality of self-harm increased by 139.26% in the 10-14 year group during the COVID-19 period as compared with the control period. Although mortality changes in some groups were not statistically significant, some increases were noteworthy during the COVID-19 period (ie, self-harm, transport injury and falls) in the 70-79 year group. The corresponding increase in mortality rate was 16.83%, 3.32% and 4.92%, respectively.

conclusionThe mortality of all-cause injury, transport injury and drowning during the COVID-19 pandemic was consistently decreased. However, the increase in mortality associated with falls, fire/heat/hot substance injury and self-harm in specific age populations warrant the targeted control and prevention measures for the population at risk.

Indexed as

COVID-19SuicideWounds and InjuriesChinaHumansPandemicsRetrospective StudiesSARS-CoV-2epidemiologypublic healthsuicide & self-harm

Identifiers

PMID34083336
PMCPMC8182756
OpenAlexW3164160801

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.