Evidence map›Paper›PMID 33472167›Full record

ArticleAging2020

Mortality risk of COVID-19 in elderly males with comorbidities: a multi-country study.

Guangdi Li, Yacong Liu, Xixi Jing, Yali Wang, Miao Miao, Li Tao, Zhiguo Zhou, Yuanlin Xie, Yaxiong Huang, Jianhua Lei and 6 more

Abstract readMulticenter Study
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 5 pooled it
–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

39 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Association between Racial Residential Segregation and COVID-19 Mortality.Journal of urban health : bulletin of the New York Academy of Medicine · 2023
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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

16 authors.

Guangdi LiInstitute of Hepatology and Department of Infectious Diseases, The Second Xiangya Hospital, Central South University, Changsha, China.
Yacong LiuHunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China.
Xixi JingHunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China.
Yali WangHunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China.
Miao MiaoHunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China.
Li TaoSchool of Mathematics and Statistics, Central South University, Changsha, China.
Zhiguo ZhouThe First Hospital of Changsha, Changsha, China.
Yuanlin XieThe Fourth Hospital of Changsha, Changsha, China.
Yaxiong HuangThe First Hospital of Changsha, Changsha, China.
Jianhua LeiInstitute of Hepatology and Department of Infectious Diseases, The Second Xiangya Hospital, Central South University, Changsha, China.
Guozhong GongInstitute of Hepatology and Department of Infectious Diseases, The Second Xiangya Hospital, Central South University, Changsha, China.
Ping JinDepartment of Endocrinology, The Third Xiangya Hospital, Central South University, Changsha, China.
Yuantao HaoDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Nuno Rodrigues FariaDepartment of Zoology, University of Oxford, Oxford, UK.
Erik De ClercqDepartment of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Leuven, Belgium.
Min ZhangInstitute of Hepatology and Department of Infectious Diseases, The Second Xiangya Hospital, Central South University, Changsha, China.

Funding

Medical Research Council MC_PC_19012Medical Research Council MR/R015600/1Medical Research Council MR/S019510/1
6 · The paper itself

Abstract

The COVID-19 pandemic causes severe morbidity and mortality. This multi-country study aimed to explore risk factors that drive mortality in COVID-19 patients who received neither dexamethasone nor remdesivir. We analyzed a cohort of 568 survivors and 507 non-survivors from China, European regions, and North America. Elderly males ≥70 years accounted for only 25% of survivors, but this rate was significantly higher in non-survivors from China (55%), European regions (63%), and North America (47%). Compared with survivors, non-survivors had more incidences of comorbidities such as cerebrovascular disease and chronic obstructive pulmonary disease (COPD, p-values<0.05). Survival analyses revealed age, male gender, shortness of breath, cerebrovascular disease, and COPD as mortality-associated factors. Survival time from symptom onset was significantly shorter in elderly versus young patients (median: 29 versus 62 days), males versus females (median: 46 versus 59 days), and patients with versus without comorbidities (mean: 41 versus 61 days). Mortality risk was higher in elderly males with comorbidities than in young females without comorbidities (p-value<0.01). Elderly male survivors with comorbidities also had longer hospital stays than other survivors (25 versus 18.5 days, p-value<0.01). Overall, the high mortality risk in elderly males with COVID-19-associated comorbidities supports early prevention and critical care for elderly populations.

Indexed as

AgingSARS-CoV-2AdolescentAdultAgedCardiovascular DiseasesCerebrovascular DisordersChildChild, PreschoolCohort StudiesComorbidityCOVID-19FemaleGlobal HealthHumansInfantcomorbiditiesCOVID-19mortalityrisk factorsSARS-CoV-2

Identifiers

PMID33472167
PMCPMC7835001

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.