Evidence map›Paper›PMID 37325696›Full record

ArticleInternational journal of general medicine2023

Clinical Characteristics Profile of COVID-19 Patients with Omicron Variant Admitted in a Tertiary Hospital, Central China.

Yi Miao, Yi Ren, Tongwei Ren

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 4 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

3 authors at 1 institution in 1 country.

Yi MiaoNanyang Central Hospital, Nanyang City, Henan Province, People's Republic of China.
Yi RenNanyang Zhang Zhongjing Hospital, Nanyang City, Henan Province, People's Republic of China.
Tongwei RenNanyang Zhang Zhongjing Hospital, Nanyang City, Henan Province, People's Republic of China.
Nanyang Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Omicron, a variant of COVID-19, is becoming a major issue of global concern. Its high transmissibility may bring challenges to the distribution of health care in a large population country like China. Investigating the behavior of the virus in the Chinese population will certainly help to plan for the upcoming surge of Omicron. Therefore, we made a preliminary analysis of the clinical and epidemiological characteristics of suspected cases of Omicron at the early stage of the surge. Patients and Methods: The study was conducted in Nanyang Central Hospital, a tertiary hospital, from 21st December, 2022 to 8th January, 2023. A total of 210 patients underwent demographic characteristics and clinical symptom collection from their medical records. Moreover, sputum culture was also conducted to explore the types of bacterial or fungal infections. Results: Our results showed that 5 patients (4.1%) were aged 16-49, 40 patients (32.5%) were aged 50-70, and 78 patients (63.4%) were aged 70 or more in the severe group. The proportion of male patients with severe diseases infected with Omicron is higher than that of female patients and the proportion of severe cases increases with age. The main symptoms of patients infected with Omicron are cough (91, 74.0%), fever (90, 73.2%), and asthma (73, 59.3%). The pathogens Conclusion: This study suggests that age >70 is a risk factor for severe COVID-19 and that patients often have bacterial or fungal infections. Our research results may help to provide effective treatment for patients with Omicron infection and also contribute to health economic analysis and research to assist future public health decision-making.

Indexed as

COVID-19epidemiological characteristicsinfectionsOmicron variant

Identifiers

PMID37325696
PMCPMC10263011
OpenAlexW4380084584

What OpenQuestion holds

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LicenceCC BY-NC
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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.