ArticleHuman vaccines & immunotherapeutics2022
COVID-19 vaccination perception and uptake among cancer patients in Guangzhou, China.
Article in Human vaccines & immunotherapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Is COVID-19 Vaccination Beneficial for Tumor Patients: A Cross-Sectional Investigation in China.Immunity, inflammation and disease · 2024Article
- Outcomes of COVID-19 in patients with lymphomas participating in registered clinical trials: A real-world study from China in the Omicron outbreak era.Cancer medicine · 2023Article
- Vaccination status and attitudes towards COVID-19 vaccination in patients undergoing active cancer treatment in a referral center in Mexico: a survey study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023Article
- Barriers to COVID-19 vaccine uptake among resource-limited adults diagnosed with chronic illness.Frontiers in public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patients with cancer are considered at high risk of COVID-19 related complications with higher mortality rates than healthy individuals. This study investigated the perception, acceptance, and influencing factors of COVID-19 vaccination among cancer patients in Guangzhou, China. A cross-sectional survey was conducted in Guangzhou, China from August to November 2021 in two tertiary medical centers. Outpatients were recruited through hospital posters to complete a questionnaire including demographics, medical history, knowledge, and attitude toward COVID-19 vaccines and COVID-19 vaccination status. Chi-square tests and multivariable logistic regression were used to analyze predictors for acceptance of COVID-19 vaccination. In total, only 75 out of 343 patients (21.87%) had received at least one dose of COVID-19 vaccine. Twenty-one patients (6.12%) had received a recommendation about COVID-19 vaccination from their physicians. Patients who were recommended by physicians to get vaccinated (aOR = 11.71 95% CI: 2.71-50.66), with a monthly income of more than CNY 5000 (aOR = 3.94, 95% CI: 1.88-8.26) were more likely to have received COVID-19 vaccination. Cancer patients who had been diagnosed for more than one year (aOR = 0.21, 95% CI: 0.09-0.51), had received multiple cancer treatment strategies (aOR = 0.34, 95% CI: 0.16-0.74), worried about the safety of COVID-19 vaccines (aOR = 0.21, 95% CI: 0.11-0.40), were less likely to have received COVID-19 vaccination. COVID-19 vaccination uptake among cancer patients was insufficient. The proportion of cancer patients receiving vaccination recommendations from physicians remains inadequate. Physicians are expected to play an essential role in patients' knowledge of the safety and effectiveness of COVID-19 vaccines.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.