Evidence map›Paper›PMID 33547492›Full record

ArticleWiener klinische Wochenschrift2021

Influence of age and gender on the epidemic of COVID-19 : Evidence from 177 countries and territories-an exploratory, ecological study.

Dingtao Hu, Xiaoqi Lou, Nana Meng, Zhen Li, Ying Teng, Yanfeng Zou, Fang Wang

Open access · bronzeAbstract read
In one paragraph

Article in Wiener klinische Wochenschrift, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 40 citations in OpenAlex.

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  11. Mobility patterns and COVID growth: Moderating role of country culture.International journal of intercultural relations : IJIR · 2022
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  14. MMP-9/BDNF ratio predicts more severe COVID-19 outcomes.International journal of medical sciences · 2022
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  15. [Response to the article: Spread of COVID-19 cases in Africa].Revista espanola de anestesiologia y reanimacion · 2021
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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

7 authors at 2 institutions in 1 country.

Dingtao HuDepartment of Oncology, The First Affiliated Hospital of Anhui Medical University, 218Jixi Road, 230022, Hefei, Anhui, China.
Xiaoqi LouDepartment of Oncology, The First Affiliated Hospital of Anhui Medical University, 218Jixi Road, 230022, Hefei, Anhui, China.
Nana MengDepartment of Quality Management Office, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Zhen LiDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Ying TengDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Yanfeng ZouDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Fang WangDepartment of Oncology, The First Affiliated Hospital of Anhui Medical University, 218Jixi Road, 230022, Hefei, Anhui, China. wangfangahmu@163.com.
Anhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CN

Funding

Foundation of Supporting Program for the Excellent Young Faculties in University of Anhui Province in China gxyq2019012National Natural Science Foundation of China 81602115, 81872683
6 · The paper itself

Abstract

backgroundThe pandemic of coronavirus disease 2019 (COVID-19) is spreading worldwide with an uncertain ultimate impact on every aspect of human society. Recognizing the groups with higher susceptibility and fatality are in urgent need.

methodsWe retrieved the total number of confirmed incident and death cases of COVID-19 in 177 countries/territories from the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). Data of age and gender composition were collected from the United Nations Department of Economic and Social Affairs. Spearman's correlation analysis was used to explore the association between the composition of age and gender and the incidence rate (IRC), case fatality rate (CFRC), and mortality rate of COVID-19 (MRC). Multiple comparisons were adjusted by the Bonferroni method, and the threshold p-value was set as p < 0.01. Software SPSS 23.0, ArcGIS 10.6, and GraphPad Prism 8.0 were used to generate our results.

resultsMedian age was positively correlated to IRC, CFRC and MRC (r

conclusionThe correlation between the composition of age and gender and the epidemic characteristics of COVID-19 confirmed previous points that females are more susceptible to COVID-19. The results remind us that more attention should be paid to male patients, particularly those over 65 years old for enhanced clinical management.

Indexed as

COVID-19AgedAge DistributionFemaleHumansIncidenceMalePandemicsSARS-CoV-2Case fatality rateCoronavirus disease 2019Correlation analysisIncidence rateMortality rate

Identifiers

PMID33547492
PMCPMC7864622
OpenAlexW3128945938

What OpenQuestion holds

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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.