Evidence map›Paper›PMID 32499448›Full record

ArticleAging2020

Comparison of clinical characteristics and outcomes of patients with coronavirus disease 2019 at different ages.

Mengmeng Zhao, Menglong Wang, Jishou Zhang, Jian Gu, Pingan Zhang, Yao Xu, Jing Ye, Zhen Wang, Di Ye, Wei Pan and 8 more

Open access · hybridAbstract readComparative Study
PubMed Full text at PMC Publisher
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 48 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 16 pooled it
1.9field-weighted citation impact, top 8% 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

48 citing papers in PubMed, 16 syntheses or guidelines pooled it, 92 citations in OpenAlex.

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  9. Antibiotic prescribing in patients with COVID-19: rapid review and meta-analysis.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2021
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  14. The Association of Cerebrovascular Disease with Adverse Outcomes in COVID-19 Patients: A Meta-Analysis Based on Adjusted Effect Estimates.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2020
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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

18 authors at 2 institutions in 1 country.

Mengmeng ZhaoDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Menglong WangDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Jishou ZhangDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Jian GuDepartment of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, China.
Pingan ZhangDepartment of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, China.
Yao XuDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Jing YeDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Zhen WangDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Di YeDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Wei PanDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Bo ShenDepartment of Medical Affairs, Renmin Hospital of Wuhan University, Wuhan, China.
Hua HeDepartment of Medical Affairs, Renmin Hospital of Wuhan University, Wuhan, China.
Mingxiao LiuMedical Quality Management Office, Renmin Hospital of Wuhan University, Wuhan, China.
Menglin LiuDepartment of Emergency, Renmin Hospital of Wuhan University, Wuhan, China.
Zhen LuoDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Dan LiDepartment of Pediatrics, Renmin Hospital of Wuhan University, Wuhan, China.
Jianfang LiuDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Jun WanDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Renmin Hospital of Wuhan University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInformation about the clinical characteristics and mortality of patients with coronavirus disease 2019 at different ages is limited.

resultsThe older group had more patients with dyspnea and fewer patients with fever and muscle pain. Older patients had more underlying diseases, secondary infection, myocardial injury, renal dysfunction, coagulation dysfunction, and immune dysfunction on admission. More older patients received immunoglobulin therapy and mechanical ventilation. The proportions of patients with multiple organ injuries, critically ill patients and death increased significantly with age. The older groups had higher cumulative death risk than the younger group. Hypertension, cerebrovascular disease, comorbidities, acute cardiac injury, shock and complications are independent predictors of death.

conclusionsThe symptoms of the elderly patients were more atypical, with more comorbidities, secondary infection, organ injuries, immune dysfunction and a higher risk of critical illness. Older age was an important risk factor for mortality.

methods1000 patients diagnosed with coronavirus disease 2019 from January 1, 2020 to February 14, 2020 were enrolled. According to age, patients were divided into group 1 (<60 years old), group 2 (60-74 years old) and group 3 (≥75 years old). The clinical symptoms, first laboratory results, CT findings, organ injuries, disease severity and mortality were analyzed.

Indexed as

AgedAged, 80 and overAge FactorsChinaCoronavirus InfectionsCOVID-19Critical IllnessFemaleHumansMaleMiddle AgedPandemicsPneumonia, ViralPrognosisRetrospective StudiesTomography, X-Ray Computed2019 novel coronavirusageclinical characteristicscoronavirus disease 2019COVID-19prognosis

Identifiers

PMID32499448
PMCPMC7346026
OpenAlexW3033927166

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.