ArticleJournal of medical virology2022
The efficacy of BNT162b2 (Pfizer-BioNTech) and CoronaVac vaccines in patients with cancer.
Article in Journal of medical virology, 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.
- Article
- Effectiveness of COVID-19 vaccines against severe COVID-19 among patients with cancer in Catalonia, Spain.Nature communications · 2024Article
- Expert Consensus on Prevention and Treatment of COVID-19 Infection in Patients with Lung Cancer.Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2023Article
- The efficacy of BNT162b2 (Pfizer-BioNTech) and CoronaVac vaccines in patients with cancer.Journal of medical virology · 2022Article
Corrections and comments
- Commented on by
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although vaccination is efficacious and prevents infection in the general population, there is limited data about Coronavirus disease-19 (Covid-19) occurrence after vaccination in cancer patients. It was aimed to evaluate the efficacy of BNT162b2 (Pfizer-BioNTech) and CoronaVac vaccines against Covid-19 in patients with cancer. In this single-center, retrospective, cross-sectional, and descriptive study, the data of cancer patients referred to the medical oncology clinic of a university hospital were analyzed. The sample of the study consisted of cancer patients who had Covid-19 or were vaccinated against Covid-19. A total number of 2578 patients were included in the study. Of the patients, 2000 have never been infected with severe acute respiratory syndrome coronavirus and 578 patients have had a positive reverse-transcription polymerase chain reaction (RT-PCR) for Covid-19. It was found that 2094 patients (81.2%) were fully vaccinated, and 484 patients (18.8%) did not receive full-dose vaccination. A statistically significant difference in Covid-19 occurrence was found between the patients who had full-dose vaccination or not (p = 0.000). In in-group comparisons of full-dose vaccinated patients, while no difference was observed between two doses of BNT162b2 (Pfizer-BioNTech) and three doses of CoronaVac (p = 0.432), a statistically significant difference was observed between all other groups (p < 0.005). When the data of 578 patients who experienced Covid-19 was analyzed, a statistically significant difference was observed between the groups who were full-dose vaccinated and those who were not (p = 0.000). It is recommended that this vulnerable patient group should be prioritized in vaccination programs, and full-dose vaccination (at least two doses of vaccines) should be completed as soon as possible.
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.