mRNA vaccine effectiveness against COVID-19-related hospitalisations and deaths in older adults: a cohort study based on data linkage of national health registries in Portugal, February to August 2021
This article has been Reviewed by the following groups
Discuss this preprint
Start a discussion What are Sciety discussions?Listed in
- Evaluated articles (ScreenIT)
Abstract
Through deterministic data linkage of health registries, mRNA vaccine effectiveness (VE) against COVID-19-related hospitalisations and deaths was measured in 1,880,351 older adults. VE against hospitalisations was 94% (95% confidence interval (CI): 88–97) and 82% (95% CI: 72–89) for those 65–79 and ≥ 80 years old, with no evidence of waning 98 days after dose two. VE against mortality was 96% (95% CI: 92–98) and 81% (95% CI: 74–87) in these two age groups.
Article activity feed
-
-
SciScore for 10.1101/2021.08.27.21262731: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics IRB: The study protocol was approved by the Data Protection Officer and the Ethical Committee of the Instituto Nacional de Saúde Doutor Ricardo Jorge (INSA) Variables: Outcome: A COVID-19 hospitalization was defined as admission for at least 24h with COVID-19 as the primary diagnosis (ICD10 code U07.1) [10], and a previous positive reverse transcription polymerase chain reaction (RT-PCR) test. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible …
SciScore for 10.1101/2021.08.27.21262731: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics IRB: The study protocol was approved by the Data Protection Officer and the Ethical Committee of the Instituto Nacional de Saúde Doutor Ricardo Jorge (INSA) Variables: Outcome: A COVID-19 hospitalization was defined as admission for at least 24h with COVID-19 as the primary diagnosis (ICD10 code U07.1) [10], and a previous positive reverse transcription polymerase chain reaction (RT-PCR) test. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:The study has several limitations, some of which are related with the electronic registries used and their data quality. The main dataset used to link data was the NHSU, that contains the unique mandatory health number attributed to each individual in Portugal. However, as referred, the NHSU database could have update issues, and occasional register of NHS users, that could artificially increase the number of individuals in a given cohort. Several exclusion criteria were applied to overcome this limitation and the final cohort was comparable to the National Statistics Office estimates for individuals aged 65 and more years (Table S3) [13]. The delay of information on hospital discharge might contribute to underrepresenting this specific outcome and underestimating incidence rates for the more recent observation period. Although we did not find any reason for different delay in discharge information registry between vaccinated and unvaccinated, there is a possibility of a differential bias if vaccinated had a lower hospitalization time when compared to non-vaccinated. Our data do not allow us to estimate the length of hospitalization for each group and mitigate this potential bias. Although we adjusted VE for calendar time, chronic conditions, and other relevant confounders, some residual confounding bias could be present mainly regarding the absence of information on personal protective measures like mask use, hand washing, and social distancing. Finally, we were not able to ...
Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
Results from scite Reference Check: We found no unreliable references.
-
