Evidence map›Paper›PMID 40028449›Full record

ArticleF1000Research2024

All-cause mortality according to COVID-19 vaccination status: An analysis of the UK office for National statistics public data.

Marco Alessandria, Giovanni Malatesta, Giovanni Di Palmo, Marco Cosentino, Alberto Donzelli

Abstract read
In one paragraph

Article in F1000Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Lessons to Be Learned From the COVID-19 Pandemic: Some Further Ideas.International journal of public health · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. 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

5 authors.

Marco AlessandriaDepartment of Life Sciences and Systems Biology, University of Turin, Torino, Italy.
Giovanni MalatestaPhysics Graduate, Member of the Scientific Committee of the Fondazione Allineare Sanità e Salute, Pistoia, Italy.
Giovanni Di PalmoB.E., Data Analysis Specialist, Taranto, Italy.
Marco CosentinoCenter for Research in Medical Pharmacology, University of Insubria, Varese, Italy.ORCID https://orcid.org/0000-0002-6978-7775
Alberto DonzelliMD, Specialist in Hygiene and Preventive Medicine, independent Medical-Scientific Commission; President, Fondazione Allineare Sanità e Salute, Milano, Italy.ORCID https://orcid.org/0000-0002-4365-6814

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The mass vaccination campaign against COVID-19 has been commonly considered the best response to the global COVID-19 pandemic crisis. However, assessment of its real-world effect can be performed by analysis of all-cause mortality by vaccination status. The UK is perhaps the only country which has made publicly available all-cause mortality data by vaccination status. Methods: Data from April 2021 to May 2023 published by the UK Office for National Statistics (ONS) were retrospectively analyzed by age groups and vaccination status; the standardized mortality ratio (SMR) for all-cause and non-COVID-19 mortality was calculated against the corresponding unvaccinated groups. Results: We found that across all age groups, all-cause mortality SMRs increased from a certain date, dependent on the age group. Across all age groups, all-cause mortality SMRs were initially much lower than 1. However, due to their increase, by a certain date for the 18-39, 80-89 and 90+ age groups they exceeded the reference value. For the other age groups, the date at which the SMR would reach 1 can be predicted, provided the trend is maintained. Non-COVID-19 SMRs' trends were very similar. Their initial values much lower than 1 are suggestive of significant biases in the ONS dataset, leading to underestimate the risks for the vaccinated people, as it is implausible that COVID-19 vaccines protect against non-COVID-19 deaths. Conclusions: The increase over time in all-cause death SMRs in vaccinated people compared to unvaccinated, and their excess from the reference values for certain age groups, should be carefully considered to understand the underlying factors. Furthermore, since the initial values of the SMRs are much lower than 1, we assume the presence of significant biases in the ONS dataset, leading to understimate the risks for the vaccinated people, as it is implausible that COVID-19 vaccines protect against non-COVID-19 deaths. It would be desirable for other major countries to systematically collect all-cause mortality by vaccination status and, in the meantime, a pending indepth investigations, much greater caution should be exercised in promoting mass vaccination campaigns.

Indexed as

COVID-19COVID-19 VaccinesMortalityVaccinationAdolescentAdultAgedAged, 80 and overCause of DeathChildChild, PreschoolFemaleHumansInfantMaleMiddle AgedCOVID-19 VaccinesCOVID-19; COVID-19 vaccinations; all-cause mortality; Standardized Mortality Ratio

Identifiers

PMID40028449
PMCPMC11868741

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.