Evidence map›Paper›PMID 39012367›Full record

ArticleBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2024

Comparison of fatalities due to COVID-19 and other nonexternal causes during the first five pandemic waves : Results from multiple cause of death statistics in Bavaria.

Andrea Buschner, Katharina Katz, Andreas Beyerlein

Erratum issuedAbstract readComparative Study
In one paragraph

Article in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

3 authors.

Andrea BuschnerBavarian State Office for Statistics, Division: Population Statistics and Demography, Fürth, Germany.
Katharina KatzBavarian Health and Food Safety Authority, State Institute for Health II - Task Force for Infectious Diseases Infectious Disease Epidemiology, Surveillance and Modelling Unit (GI-TFI2), Oberschleißheim, Germany.
Andreas BeyerleinBavarian Health and Food Safety Authority, State Institute for Health II - Task Force for Infectious Diseases Infectious Disease Epidemiology, Surveillance and Modelling Unit (GI-TFI2), Oberschleißheim, Germany. Andreas.Beyerlein@lgl.bayern.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder age is a risk factor for a fatal course of SARS-CoV‑2 infection, possibly due to comorbidities whose exact role in this context, however, is not yet well understood. In this paper, the characteristics and comorbidities of persons who had died of COVID-19 in Bavaria by July 2022 are shown and compared with the characteristics of other fatalities during the pandemic.

methodsBased on data from multiple cause of death statistics, odds ratios for dying from COVID-19 (compared to dying from other nonexternal causes of death) were calculated by using logistic regression models, stratified by age, sex, and pandemic waves.

resultsIn Bavaria, a total of 24,479 persons (6.5% of all deaths) officially died from COVID-19 between March 2020 and July 2022. In addition to increasing age and male sex, preexisting diseases and comorbidities such as obesity, degenerative diseases of the nervous system, dementia, renal insufficiency, chronic lower respiratory diseases, and diabetes mellitus were significantly associated with COVID-19-related deaths. Dementia was mainly associated with increased COVID-19 mortality during the first and second waves, while obesity was strongly associated during the fourth wave. DISCUSSION: The frequency of specific comorbidities in COVID-19 deaths varied over the course of the pandemic. This suggests that wave-specific results also need to be interpreted against the background of circulating virus variants, changing immunisation levels, and nonpharmaceutical interventions in place at the time.

Indexed as

Cause of DeathComorbidityCOVID-19PandemicsAdolescentAdultAgedAged, 80 and overAge DistributionChildChild, PreschoolFemaleGermanyHumansInfantInfant, NewbornComorbiditiesMortalityPreexisting diseasesSARS-CoV-2Wave-specific causes of death

Identifiers

PMID39012367
PMCPMC11282133

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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.