Evidence map›Paper›PMID 34311702›Full record

ArticleBMC emergency medicine2021

Effect of COVID-19 on epidemiological characteristics of road traffic injuries in Suzhou: a retrospective study.

Wenjuan Huang, Qi Lin, Feng Xu, Du Chen

Abstract read
In one paragraph

Article in BMC emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

4 authors.

Wenjuan Huang *Department of Critical Care Medicine, the First Affiliated Hospital of Soochow University, Suzhou City, Jiangsu Province, China.
Qi Lin *Suzhou Emergency Center, Suzhou City, Jiangsu Province, China.
Feng XuDepartment of Emergency Medicine, the First Affiliated Hospital of Soochow University, Suzhou City, Jiangsu Province, China.
Du ChenDepartment of Critical Care Medicine, the First Affiliated Hospital of Soochow University, Suzhou City, Jiangsu Province, China. sdfyycd@suda.edu.cn.ORCID 0000-0001-6990-3310

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo present the new trends in epidemiology of road traffic injuries (RTIs) during the Coronavirus disease 2019 (COVID-19) pandemic in Suzhou.

methodsPre-hospital records of RTIs from January to May in 2020 and the same period in 2019 were obtained from the database of Suzhou pre-hospital emergency center, Jiangsu, China. Data were extracted for analysis, including demographic characteristics, pre-hospital vital signs, transport, shock index, consciousness, pre-hospital death. A retrospective study comparing epidemiological characteristics of RTIs in Suzhou during the 5-month period in 2020 to the parallel period in 2019 was performed.

resultsA total of 7288 RTIs in 2020 and 8869 in 2019 met inclusion criteria. The overall volume of RTIs has statistical difference between the 2 years (p < 0.001), with fewer RTIs in 2020 compared with 2019. Electric bicycle related RTIs increased during the pandemic (2641, 36.24% vs 2380, 26.84%, p < 0.001), with a higher incidence of RTIs with disorder of consciousness (DOC) (7.22% vs 6.13%, p = 0.006).

conclusionsUnder the impact of COVID-19, the total number of RTIs in Suzhou from January to May 2020 decreased. This observation was coupled with a rise in electric bicycle related injuries and an increase in the incidence of RTIs with DOC.

Indexed as

Accidents, TrafficBicyclingChinaCOVID-19HumansIncidenceMotorcyclesRetrospective StudiesRisk FactorsWounds and InjuriesCOVID-19EpidemiologyRoad traffic injuriesSuzhou

Identifiers

PMID34311702
PMCPMC8312208

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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.