Evidence map›Paper›PMID 32563519›Full record

ArticleInjury2020

Epidemiologic characteristics of traumatic fractures during the outbreak of coronavirus disease 2019 (COVID-19) in China: A retrospective & comparative multi-center study.

Hongzhi Lv, Qi Zhang, Yingchao Yin, Yanbin Zhu, Juan Wang, Zhiyong Hou, Yingze Zhang, Wei Chen

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Injury, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 3 pooled it
8.1field-weighted citation impact, top 2% 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

55 citing papers in PubMed, 3 syntheses or guidelines pooled it, 104 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Hongzhi LvEditorial department, the Third Hospital of Hebei Medical University, No. 139 Ziqiang Road, Shijiazhuang 050051, PR China. Electronic address: 190099199@qq.com.
Qi ZhangDepartment of Orthopedic Surgery, The Third Hospital of Hebei Medical University. Electronic address: 865822001@qq.com.
Yingchao YinDepartment of Orthopedic Surgery, The Third Hospital of Hebei Medical University. Electronic address: dryingchao@gmail.com.
Yanbin ZhuDepartment of Orthopedic Surgery, The Third Hospital of Hebei Medical University. Electronic address: zhuyanbin111@126.com.
Juan WangDepartment of Orthopedic Surgery, The Third Hospital of Hebei Medical University. Electronic address: 84133719@qq.com.
Zhiyong HouDepartment of Orthopedic Surgery, The Third Hospital of Hebei Medical University. Electronic address: 323107582@qq.com.
Yingze ZhangDepartment of Orthopedic Surgery, The Third Hospital of Hebei Medical University. Electronic address: zhangyingzelv@126.com.
Wei ChenDepartment of Orthopedic Surgery, The Third Hospital of Hebei Medical University. Electronic address: surgeonchenwei@126.com.
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAmid the outbreak of coronavirus disease 2019 (COVID-19), effective measures have been taken in China to suggest people wearing masks and staying at home. The majority of the people stayed at home, which had an obvious impact on the occurrence of traumatic fractures. This study aimed to describe the epidemiologic characteristics of traumatic fractures during the COVID-19, and provide reference for targeted control measures for the whole world by proposing China's experiences.

methodsThis was a retrospective & comparative multi-center study with data obtained from 11 hospitals in five provinces of China. Patients were enrolled into this study, who sustained fractures from 20 January to 19 February 2020 and the same period in 2019 (based on Chinese lunar calendar). All patients were divided into two groups: epidemic group (admitted in 2020) and control group (admitted in 2019). The data of patients' demographics (age and gender), injury related data (fracture type, fractured site, osteoporosis fracture, concurrent fractures, injury mechanism, places where fracture occurred, ISS score, Gustilo-Anderson Classification for open fracture), mortality and treatment modality were compared between the two groups.

resultsA total of 2,489 patients with 2,590 fractures were included. In the epidemic group, there were 865 patients, including 483 (55.8%) males and 382 (44.2%) females with an average age of 53.1 ± 23.1 years (range, 1 to 105). In the control group, there were 1,624 patients, including 876 (53.9%) males and 748 (46.1%) females with an average age of 51.2 ± 21.5 years (range, 1 to 98). Patients in the epidemic group was significantly older than those in the control group (t=-2.046, P = 0.045). For epidemic group, the mostly commonly involved age group was elderly patients, whereas it was middle-aged adults for the control group (χ

conclusionsOur findings confirmed the importance of the measures to restrict people's movement and wear masks in the prevention of the spread of COVID-19. The epidemiological characteristics of traumatic fractures amid the epidemic changes dramatically, and more attempts should be focused on the prevention of low energy injuries of elderly population.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaCoronavirus InfectionsCOVID-19Disease OutbreaksFemaleFractures, BoneHospitalizationHumansMaleMiddle AgedCovid-19EpidemicEpidemiologyFracture

Identifiers

PMID32563519
PMCPMC7295526
OpenAlexW3035065626

What OpenQuestion holds

Textmetadata
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.