Evidence map›Paper›PMID 35301379›Full record

ArticleScientific reports2022

COVID-19 mortality in Italy varies by patient age, sex and pandemic wave.

Francesca Minnai, Gianluca De Bellis, Tommaso A Dragani, Francesca Colombo

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
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  9. Article
  10. Article
  11. Article
  12. Identifying age- and sex-specific COVID-19 mortality trends over time in six countries.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2023
    Article
  13. Article
  14. Observational
  15. Article
  16. Article
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  19. Global & regional health technology assessment
    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.

Francesca MinnaiInstitute of Biomedical Technologies, National Research Council (ITB-CNR), Segrate, MI, Italy.ORCID 0000-0003-3646-3800
Gianluca De BellisInstitute of Biomedical Technologies, National Research Council (ITB-CNR), Segrate, MI, Italy.ORCID 0000-0002-1622-4477
Tommaso A DraganiDepartment of Research, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy. tommaso.dragani@istitutotumori.mi.it.ORCID 0000-0001-5915-4598
Francesca ColomboInstitute of Biomedical Technologies, National Research Council (ITB-CNR), Segrate, MI, Italy.ORCID 0000-0003-2015-4317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 has caused a worldwide epidemic of enormous proportions, which resulted in different mortality rates in different countries for unknown reasons. We analyzed factors associated with mortality using data from the Italian national database of more than 4 million SARS-CoV-2-positive cases diagnosed between January 2020 and July 2021, including > 415 thousand hospitalized for coronavirus disease-19 (COVID-19) and > 127 thousand deceased. For patients for whom age, sex and date of infection detection were available, we determined the impact of these variables on mortality 30 days after the date of diagnosis or hospitalization. Multivariable weighted Cox analysis showed that each of the analyzed variables independently affected COVID-19 mortality. Specifically, in the overall series, age was the main risk factor for mortality, with HR > 100 in the age groups older than 65 years compared with a reference group of 15-44 years. Male sex presented a two-fold higher risk of death than female sex. Patients infected after the first pandemic wave (i.e. after 30 June 2020) had an approximately threefold lower risk of death than those infected during the first wave. Thus, in a series of all confirmed SARS-CoV-2-infected cases in an entire European nation, elderly age was by far the most significant risk factor for COVID-19 mortality, confirming that protecting the elderly should be a priority in pandemic management. Male sex and being infected during the first wave were additional risk factors associated with COVID-19 mortality.

Indexed as

COVID-19AgedFemaleHumansItalyMalePandemicsSARS-CoV-2

Identifiers

PMID35301379
PMCPMC8929285

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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.