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SYSTEMATIC REVIEW article

Front. Oncol.
Sec. Cancer Epidemiology and Prevention
Volume 14 - 2024 | doi: 10.3389/fonc.2024.1506366

Prevalence and risk factors for long COVID among cancer patients: a systematic review and meta-analysis

Provisionally accepted
Hongkun Xu Hongkun Xu 1,2Tingting Lu Tingting Lu 3Yajie Liu Yajie Liu 3*Jingqi Yang Jingqi Yang 1*Simeng Ren Simeng Ren 2Baojin Han Baojin Han 2*Honghao Lai Honghao Lai 4*Long Ge Long Ge 4Jie Liu Jie Liu 2,3*
  • 1 Beijing University of Chinese Medicine, Beijing, Beijing Municipality, China
  • 2 Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, Beijing Municipality, China
  • 3 China Academy of Chinese Medical Sciences, Beijing, Beijing Municipality, China
  • 4 Lanzhou University, Lanzhou, Gansu Province, China

The final, formatted version of the article will be published soon.

    Objective: The prevalence of long COVID among cancer patients remains unknown. This study aimed to determine the prevalence of long COVID and explore potential risk factors among cancer patients.A systematic search was performed on PubMed, Web of Science, and Embase from database inception until March 21, 2024, to identify studies that reported long COVID in cancer patients. Two investigators independently screened the studies and extracted all information about long COVID in cancer patients for subsequent analysis. Methodological quality was assessed using the "Joannagen Briggs Institute (JBI) Critical Appraisal Checklist for Studies Reporting Prevalence Data".Results: A total of 13 studies involving 6653 patients were included. The pooled prevalence of long COVID was 23.52% (95% confidence interval [CI] 12.14% to 40.64%) among cancer patients reported experiencing long COVID after acute Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The pooled prevalence of any long COVID in cancer patients was 20.51% (95% CI 15.91% to 26.03%), 15.79% (95% CI 11.39% to 21.47%), and 12.54% (95% CI 6.38% to 21.18%) in 3 months, 6 months, and 12 months follow-up duration. Fatigue was the most common symptom, followed by respiratory symptoms, myalgia and sleep disturbance. Patients with comorbidities had a significantly higher risk of experiencing long COVID (odds ratio [OR] = 1.72, 95% CI 1.09 to 2.70, P = 0.019). No statistically significant differences in sex, primary tumour or tumour stage were detected.Nearly a quarter of cancer patients will experience long COVID after surviving from SARS-CoV-2 infection, and this would even last for 1 year or longer. Fatigue, respiratory symptoms, myalgia and sleep disturbance need to be more concerned and managed to reduce symptom burden on cancer patients and improve quality of life. Patients with comorbidities are at a high risk of developing long COVID. Further randomized controlled trials with rigorous methodological designs and large sample sizes are needed for future validation.

    Keywords: Cancer, COVID-19, Long Covid, Prevalence, Risk factors

    Received: 05 Oct 2024; Accepted: 17 Dec 2024.

    Copyright: © 2024 Xu, Lu, Liu, Yang, Ren, Han, Lai, Ge and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yajie Liu, China Academy of Chinese Medical Sciences, Beijing, 100700, Beijing Municipality, China
    Jingqi Yang, Beijing University of Chinese Medicine, Beijing, 100029, Beijing Municipality, China
    Baojin Han, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, Beijing Municipality, China
    Honghao Lai, Lanzhou University, Lanzhou, 730000, Gansu Province, China
    Jie Liu, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, Beijing Municipality, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.