Evidence map›Paper›PMID 39371370›Full record

ArticleOpen forum infectious diseases2024

Effectiveness of the First and Second Severe Acute Respiratory Syndrome Coronavirus 2 Vaccine Dose: A Nationwide Cohort Study From Austria on Hybrid Versus Natural Immunity.

Alena Chalupka, Uwe Riedmann, Lukas Richter, Ali Chakeri, Ziad El-Khatib, Martin Sprenger, Verena Theiler-Schwetz, Christian Trummer, Peter Willeit, Harald Schennach and 5 more

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

15 authors.

Alena ChalupkaDivision of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Uwe RiedmannDivision of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Lukas RichterInstitute for Surveillance and Infectious Disease Epidemiology, Austrian Agency for Health and Food Safety, Vienna, Austria.
Ali ChakeriInstitute for Surveillance and Infectious Disease Epidemiology, Austrian Agency for Health and Food Safety, Vienna, Austria.
Ziad El-KhatibInstitute for Surveillance and Infectious Disease Epidemiology, Austrian Agency for Health and Food Safety, Vienna, Austria.
Martin SprengerInstitute of Social Medicine and Epidemiology, Medical University Graz, Graz, Austria.ORCID https://orcid.org/0000-0002-7232-6515
Verena Theiler-SchwetzDivision of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Christian TrummerDivision of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Peter WilleitInstitute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics and Informatics, Medical University of Innsbruck, Innsbruck, Austria.ORCID https://orcid.org/0000-0002-1866-7159
Harald SchennachCentral Institute for Blood Transfusion and Department of Immunology, Tirol Kliniken GmbH, Innsbruck, Austria.
Bernhard BenkaInstitute for Surveillance and Infectious Disease Epidemiology, Austrian Agency for Health and Food Safety, Vienna, Austria.
Dirk WerberInstitute for Surveillance and Infectious Disease Epidemiology, Austrian Agency for Health and Food Safety, Vienna, Austria.
Tracy Beth HøegSloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
John P A IoannidisDepartments of Medicine, Epidemiology and Population Health, Biomedical Data Science, and Statistics and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, USA.
Stefan PilzDivision of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.ORCID https://orcid.org/0000-0002-7959-1311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We aimed to evaluate the effectiveness of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccinations in previously SARS-CoV-2-infected adults in the general population of Austria during the Delta wave and with extended follow-up. Methods: In a nationwide retrospective cohort study, we calculated age-, sex-, and nursing home residency-adjusted Cox proportional hazard ratios (HRs) of coronavirus disease 2019 (COVID-19) deaths, SARS-CoV-2 infections, and non-COVID-19 deaths from 1 October to 31 December 2021, and secondarily with extended follow-up to 30 June 2022. Relative vaccine effectiveness (rVE) is rVE = (1 - HR) × 100. Results: Among 494 646 previously infected adults, 169 543 had received 2 vaccine doses, 133 567 had received 1 dose, and 190 275 were unvaccinated at baseline. We recorded 17 COVID-19 deaths (6 vaccinated, 11 unvaccinated) and 8209 SARS-CoV-2 infections. Absolute risk of COVID-19 deaths was 0.003%. rVE estimates for COVID-19 deaths and reinfections exceeded 75% until the end of 2021 but decreased substantially with extended follow-up. The risk of non-COVID-19 death was lower in those vaccinated versus unvaccinated. Conclusions: First and second SARS-CoV-2 vaccine doses appear effective in the short-term, but with diminishing effectiveness over time. The extremely low COVID-19 mortality, regardless of vaccination, indicates strong protection of previous infection against COVID-19 death. Lower non-COVID-19 mortality in the vaccinated population might suggest a healthy vaccinee bias.

Indexed as

COVID-19mortalityobservational studySARS-CoV-2vaccine

Identifiers

PMID39371370
PMCPMC11450622

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Registered trials

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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.