Evidence map›Paper›PMID 37213637›Full record

ArticleFrontiers in public health2023

Determinants of post-COVID-19 symptoms among adults aged 55 or above with chronic conditions in primary care: data from a prospective cohort in Hong Kong.

Dexing Zhang, Vincent Chi-Ho Chung, Dicken Cheong-Chun Chan, Zijun Xu, Weiju Zhou, King Wa Tam, Rym Chung-Man Lee, Regina Wing-Shan Sit, Stewart W Mercer, Samuel Yeung-Shan Wong

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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

10 authors at 2 institutions in 2 countries.

Dexing ZhangJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Vincent Chi-Ho ChungJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Dicken Cheong-Chun ChanJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Zijun XuJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Weiju ZhouJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
King Wa TamJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Rym Chung-Man LeeJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Regina Wing-Shan SitJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Stewart W MercerUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.
Samuel Yeung-Shan WongJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Chinese University of Hong Kong · CNUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Primary care patients, especially those with an older age, are one of the most vulnerable populations for post-COVID-19 symptoms. Identifying predictors of post-COVID symptoms can help identify high-risk individuals for preventive care. Methods: Out of 977 primary care patients aged 55 years or above with comorbid physical and psychosocial conditions in a prospective cohort in Hong Kong, 207 patients infected in the previous 5-24 weeks were included. The three most common post-COVID-19 symptoms (breathlessness, fatigue, cognitive difficulty), which lasted beyond the 4-week acute infection period, were assessed using items from the COVID-19 Yorkshire Rehabilitation Scale (C19-YRS), together with other self-reported symptoms. Multivariable analyses were conducted to identify predictors of post-acute and long COVID-19 symptoms (5-24 weeks after infection). Results: The 207 participants had a mean age of 70.8 ± 5.7 years, 76.3% were female, and 78.7% had ≥2 chronic conditions. In total, 81.2% reported at least one post-COVID symptom (mean: 1.9 ± 1.3); 60.9, 56.5 and 30.0% reported fatigue, cognitive difficulty, and breathlessness respectively; 46.1% reported at least one other new symptom (such as other respiratory-related symptoms (14.0%), insomnia or poor sleep quality (14.0%), and ear/nose/throat symptoms (e.g., sore throat) (10.1%), etc.). Depression predicted post-COVID-19 fatigue. The female sex predicted cognitive difficulty. Receiving fewer vaccine doses (2 doses vs. 3 doses) was associated with breathlessness. Anxiety predicted a higher overall symptom severity level of the three common symptoms. Conclusion: Depression, the female sex, and fewer vaccine doses predicted post-COVID symptoms. Promoting vaccination and providing intervention to those at high-risk for post-COVID symptoms are warranted.

Indexed as

COVID-19Sleep Initiation and Maintenance DisordersAdultAgedChronic DiseaseDyspneaFatigueFemaleHong KongHumansMalePost-Acute COVID-19 SyndromePrimary Health CareProspective StudiesCOVID-19infectionolder adultspost-acute and long COVID-19 symptomspredictorsprimary care

Identifiers

PMID37213637
PMCPMC10196359
OpenAlexW4377220224

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.