Evidence map›Paper›PMID 39644256›Full record

ArticleCancer medicine2024

Post-acute sequelae of COVID-19 in cancer patients: Two cohorts in UK and Hong Kong.

Eric Yuk Fai Wan, Shing Fung Lee, Jiayi Zhou, Vincent Ka Chun Yan, Francisco Tsz Tsun Lai, Celine Sze Ling Chui, Xue Li, Carlos King Ho Wong, Esther Wai Yin Chan, Ian Chi Kei Wong

Abstract read
In one paragraph

Article in Cancer medicine, 2024. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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.

Eric Yuk Fai WanCentre for Safe Medication Practice and research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.ORCID 0000-0002-6275-1147
Shing Fung LeeDepartment of Radiation Oncology, National University Cancer Institute, National University Hospital, Singapore, Singapore.
Jiayi ZhouDepartment of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Vincent Ka Chun YanCentre for Safe Medication Practice and research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Francisco Tsz Tsun LaiCentre for Safe Medication Practice and research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Celine Sze Ling ChuiLaboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China.
Xue LiCentre for Safe Medication Practice and research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Carlos King Ho WongCentre for Safe Medication Practice and research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Esther Wai Yin ChanCentre for Safe Medication Practice and research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Ian Chi Kei WongCentre for Safe Medication Practice and research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.

Funding

Health Bureau COVID19F01University Grants Committee C7154-20GF
6 · The paper itself

Abstract

backgroundLimited research exists on the risks and spectrum of complications in post-acute phase of COVID-19 in cancer patients. This study aimed to evaluate the post-acute effects of COVID-19 on different types of morbidities among cancer patients across two regions with different healthcare systems and dominant variants of COVID-19. MATERIALS AND

methodsCancer patients with COVID-19 from the UK Biobank (UKB, n = 2230; March 16, 2020 to May 31, 2021; pre-Omicron-variants dominant) and electronic medical records in Hong Kong (HK cohort, n = 22,335; April 1, 2020 to October 31, 2022; Omicron-variant dominant) were included. Each COVID-19 case was randomly matched with up to 10 non-COVID-19 cancer patients based on age and sex. Follow-up lasted until 31 August 2021 for UKB and 23 January 2023 for HK. Inverse probability treatment weighting balanced cohort characteristics. Cox regression evaluated the association of COVID-19 with morbidities occurred 30 days post-infection.

resultsCancer patients with COVID-19 consistently showed significantly higher risk of major cardiovascular diseases (CVDs) [UKB: hazard ratio [HR] 1.8 (95% CI 1.3, 2.5); HK: HR 1.4 (95% CI 1.1, 1.8)], CVD death [UKB: HR 4.3 (95% CI 2.9, 6.2); HK: HR 1.7 (95% CI 1.3, 2.4)], and all-cause mortality [UKB: HR 4.7 (95% CI 4.0, 5.5); HK: HR 1.6 (95% CI 1.5, 1.7)] in both cohorts despite the difference in dominant variants. Cancer patients at advanced ages or severely infected had higher all-cause mortality risk. However, associations between COVID-19 and CVDs became insignificant for fully vaccinated patients.

conclusionCOVID-19 infection is associated with increased risks of CVDs and mortality in cancer patients. Fully vaccination may reduce the post-acute effects of COVID-19 on CVDs. This information may guide effective pre-emptive measures to reduce COVID-19-related morbidities and mortality in cancer patients.

Indexed as

COVID-19NeoplasmsSARS-CoV-2AdultAgedCardiovascular DiseasesCohort StudiesFemaleHong KongHumansMaleMiddle AgedPost-Acute COVID-19 SyndromeRisk FactorsUnited KingdomcancersCOVID‐19CVDslong‐term effect

Identifiers

PMID39644256
PMCPMC11624603

What OpenQuestion holds

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LicenceCC BY
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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.