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A one-year follow-up study of systematic impact of long COVID symptoms among patients post SARS-CoV-2 omicron variants infection in Shanghai, China

Overview of attention for article published in Emerging Microbes & Infections, June 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
twitter
118 X users
reddit
1 Redditor

Citations

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4 Dimensions

Readers on

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20 Mendeley
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Title
A one-year follow-up study of systematic impact of long COVID symptoms among patients post SARS-CoV-2 omicron variants infection in Shanghai, China
Published in
Emerging Microbes & Infections, June 2023
DOI 10.1080/22221751.2023.2220578
Pubmed ID
Authors

Jianpeng Cai, Ke Lin, Haocheng Zhang, Quanlin Xue, Kun Zhu, Guanmin Yuan, Yuhan Sun, Feng Zhu, Jingwen Ai, Sen Wang, Wenhong Zhang

Abstract

Long COVID hinders people from normal life and work, posing significant medical and economic challenges. Nevertheless, comprehensive studies assessing its impact on large populations in Asia are still lacking. We tracked over 20,000 patients infected with COVID-19 for the first time during the Omicron BA.2 outbreak in Shanghai from March-June 2022 for one year. Of the 21,799 COVID-19 patients who participated in the 6-month telephone follow-up, 1,939 (8.89%) had self-reported long COVID symptoms. 450 long COVID patients participated in the 6-month outpatient follow-up. Participants underwent healthy physical examinations and questionnaires focused on long-COVID-related symptoms and mental health. Mobility problem (P<0.001), personal care problem (P=0.003), usual activity problem (P<0.001), pain/discomfort (P<0.001), anxiety/depression (P=0.001) and PTSD (P=0.001) were more prevalent in long COVID patients than in healthy individuals, but no significant differences were found between the two groups on chest CT and laboratory examinations. Of the 856 long COVID patients who participated in the 12-month follow-up, 587 (68.5%) had their symptoms resolved. In the multivariable logistic analysis, females (P<0.001), youth (age <40 years) (P<0.001), ≥2 comorbidities (P=0.009), and severe infection in the acute phase (P=0.006) were risk factors for developing long COVID. Middle age (40-60 years) was a risk factor for persistent long COVID one year after hospital discharge (P=0.013). The study found that long COVID mainly manifested as subjective symptoms and impacts partial patients' quality of life and mental status. After one year, most (68.5%) of the patients recovered from long COVID with no impairment of organ function observed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 118 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 15%
Student > Ph. D. Student 2 10%
Student > Bachelor 2 10%
Professor 1 5%
Unspecified 1 5%
Other 0 0%
Unknown 11 55%
Readers by discipline Count As %
Medicine and Dentistry 2 10%
Unspecified 1 5%
Economics, Econometrics and Finance 1 5%
Nursing and Health Professions 1 5%
Sports and Recreations 1 5%
Other 1 5%
Unknown 13 65%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 85. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 November 2023.
All research outputs
#485,660
of 24,885,505 outputs
Outputs from Emerging Microbes & Infections
#67
of 1,440 outputs
Outputs of similar age
#9,848
of 362,197 outputs
Outputs of similar age from Emerging Microbes & Infections
#3
of 61 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,440 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 362,197 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.