Evidence map›Paper›PMID 36943818›Full record

ArticleJournal of intensive medicine2021

Differences in clinical characteristics between younger and older patients with COVID-19 and their relationship with the length of hospital stay.

Qianyi Peng, Xinhua Ma, Zhiyong Liu, Chunguang Zhao, Lei Zhang, Zhaoxin Qian, Lina Zhang

Abstract read
In one paragraph

Article in Journal of intensive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
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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.

Qianyi PengDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, China.
Xinhua MaDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, China.
Zhiyong LiuDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, China.
Chunguang ZhaoDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, China.
Lei ZhangDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, China.
Zhaoxin QianNational Clinical Research Center for Geriatric Disorders, Changsha, Hunan Province 410008, China.
Lina ZhangDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The coronavirus disease 2019 (COVID-19) pandemic is currently threatening the health of individuals worldwide. We compared the clinical characteristics between younger patients (aged <60 years) and older patients (aged ≥60 years) with COVID-19, detected the risk factors associated with a prolonged hospital stay, and examined the treatments commonly used with a particular focus on antiviral therapies. Methods: This retrospective study was conducted at the West Campus, Union Hospital affiliated to Tongji Medical College of Huazhong University of Science and Technology (Wuhan, China). The sample consisted of 123 patients admitted to the hospital between 9th February, 2020, and 3rd March, 2020. The data related to the demographics, laboratory findings, and treatment were analyzed to identify discrepancies between younger and older patients and those with and without primary diseases. The risk factors that contribute to a prolonged hospital stay were subsequently identified. Results: Patients aged ≥60 years required longer hospital stay than younger patients ( Conclusions: In this study, older patients and those with primary diseases were at a higher risk of worse clinical manifestations. The physicians who treat the patients should pay close attention to the risk factors that contribute to the length of hospital stay, which could be used for predicting prolonged hospital stay. Traditional Chinese medicine and arbidol were the most frequently used antiviral drugs. Nevertheless, the extent to which these medications can effectively treat COVID-19 warrants further investigation.

Indexed as

AgeCOVID-19Primary diseasesRisk factorsTreatment

Identifiers

PMID36943818
PMCPMC8163035

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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.