Evidence map›Paper›PMID 36238984›Full record

ArticleJournal of medical virology2023

Clinical characteristics of 1139 mild cases of the SARS-CoV-2 Omicron variant infected patients in Shanghai.

Miao Wang, Zhidong Liu, Zengliang Wang, Ke Li, Yu Tian, Wei Lu, Jie Hong, Xinwei Peng, Jin Shi, Zhijie Zhang and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of medical virology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 36 citations in OpenAlex.

  1. Observational
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  11. Update on Omicron variant and its threat to vulnerable populations.Public health in practice (Oxford, England) · 2024
    Review
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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

11 authors at 3 institutions in 1 country.

Miao WangDepartment of Internal Medicine of Traditional Chinese Medicine, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Zhidong LiuDepartment of Internal Medicine of Traditional Chinese Medicine, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Zengliang WangDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID 0000-0002-5788-9440
Ke LiDepartment of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China.
Yu TianDepartment of Internal Medicine of Traditional Chinese Medicine, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Wei LuDepartment of Nursing, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jie HongDepartment of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China.
Xinwei PengDepartment of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China.
Jin ShiDepartment of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China.
Zhijie ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China.ORCID 0000-0002-1276-787X
Guojiang MeiDepartment of Internal Medicine of Traditional Chinese Medicine, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Fudan University · CNShanghai University of Traditional Chinese Medicine · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In March 2022, the Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) surged during the Coronavirus Disease 2019 (COVID-19) pandemic in Shanghai, but over 90% of patients were mild. This study included 1139 COVID-19 patients mildly infected with the Omicron variant of SARS-CoV-2 in Shanghai from May 1 to 10, 2022, aiming to clarify the demographic characteristics and clinical symptoms of patients with mild Omicron infection. The clinical phenotypes of Omicron infection were identified by model-based cluster analysis to explore the features of different clusters. The median age of the patients was 41.0 years [IQR: 31.0-52.0 years] and 73.0% were male. The top three clinical manifestations are cough (57.5%), expectoration (48.3%), and nasal congestion and runny nose (43.4%). The prevalence of nasal congestion and runny nose varied significantly across the doses of vaccinations, with 23.1% in the unvaccinated population and 30%, 45.9%, and 44.3% in the 1-dose, 2-dose and 3-dose vaccinated populations, respectively. In addition, there were significant differences for fever (23.1%, 26.0%, 28.6%, 18.4%), head and body heaviness (15.4%, 14.0%, 26.7%, 22.4%), and loss of appetite (25.6%, 30.0%, 33.6%, 27.7%). The unvaccinated population had a lower incidence of symptoms than the vaccinated population. Cluster analysis revealed that all four clusters had multisystemic symptoms and were dominated by both general and respiratory symptoms. The more severe the degree of the symptoms was, the higher the prevalence of multisystemic symptoms will be. The Omicron variant produced a lower incidence of symptoms in mildly infected patients than previous SARS-CoV-2 variants, but the clinical symptoms caused by the Omicron variant are more complex, so that it needs to be differentiated from influenza.

Indexed as

COVID-19ChinaFemaleHumansMaleRhinorrheaSARS-CoV-2clinical characteristicsCOVID-19mild infectionOmicron variant

Identifiers

PMID36238984
PMCPMC9874495
OpenAlexW4306160073

What OpenQuestion holds

Textmetadata
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.