Evidence map›Paper›PMID 40640805›Full record

ArticleBMC public health2025

The Mirror of Erised: a retrospective population-wide study of Czech all-cause mortality data by COVID-19 vaccination status.

Ondrej Vencalek, Tomas Furst, Elizabeth Princova, Jana Furstova

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Ondrej VencalekDepartment of Mathematical Analysis and Application of Mathematics, Faculty of Science, Palacký University Olomouc, 17. listopadu 1192/12, Olomouc, 779 00, Czech Republic.ORCID http://orcid.org/0000-0002-8340-1429
Tomas FurstDepartment of Mathematical Analysis and Application of Mathematics, Faculty of Science, Palacký University Olomouc, 17. listopadu 1192/12, Olomouc, 779 00, Czech Republic.ORCID http://orcid.org/0000-0002-9426-4183
Elizabeth PrincovaOlomouc University Social Health Institute, Sts Cyril and Methodius Faculty of Theology, Palacký University Olomouc, Univerzitní 244/22, Olomouc, 779 00, Czech Republic.
Jana FurstovaOlomouc University Social Health Institute, Sts Cyril and Methodius Faculty of Theology, Palacký University Olomouc, Univerzitní 244/22, Olomouc, 779 00, Czech Republic. jana.furstova@oushi.upol.cz.ORCID http://orcid.org/0000-0003-4057-2540

Funding

European Regional Development Fund CZ.02.01.01/00/22_008/0004583
6 · The paper itself

Abstract

backgroundIn this study, we investigated the association between COVID-19 vaccination status and all-cause mortality (ACM) rate in the population of the Czech Republic between January 2020 and December 2022.

methodsIn this retrospective study based on official population-wide individual (record-level) data, we analyzed monthly ACM rates stratified by COVID-19 vaccination status, sex, and age. The ACM was compared to expected mortality based on pre-COVID data. The recipients of the Janssen vaccine were excluded from the study. The final dataset comprised N = 5,636,949 individuals from the Czech Republic, encompassing all residents born between 1925 and 1980 who were alive on January 1, 2020.

resultsMultiple peculiar patterns in ACM were revealed. The ACM of vaccinated individuals across several age cohorts was greatly diminished compared to the ACM of the unvaccinated, even in periods when virtually no COVID-19-related deaths were observed, suggesting a strong selection/indication bias. A similar drop in the ACM of newly vaccinated individuals was observed again during the booster campaign. With time from vaccination, the differences in ACM between groups with different vaccination statuses dwindled. Indication bias was observed at the beginning of the vaccination campaign when the frailest individuals were preferentially vaccinated.

conclusionsThe population-wide data strongly suggest the presence of selection/indication bias, warranting careful interpretation of vaccination effectiveness estimates derived from observational studies.

Indexed as

COVID-19COVID-19 VaccinesMortalityVaccinationAdolescentAdultAgedAged, 80 and overCause of DeathCzech RepublicFemaleHumansMaleMiddle AgedRetrospective StudiesYoung AdultCOVID-19 VaccinesAll-cause mortalityCOVID-19Healthy user biasHealthy vaccinee effectIndividual-level dataVaccination statusVaccine effectiveness

Identifiers

PMID40640805
PMCPMC12243391

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.