Evidence map›Paper›PMID 32701911›Full record

ArticleActa bio-medica : Atenei Parmensis2020

COVID-19 mortality rate in nine high-income metropolitan regions.

Carlo Signorelli, Anna Odone, Vincenza Gianfredi, Eleonora Bossi, Daria Bucci, Aurea Oradini-Alacreu, Beatrice Frascella, Michele Capraro, Federica Chiappa, Lorenzo Blandi and 1 more

Open access · greenAbstract read
In one paragraph

Article in Acta bio-medica : Atenei Parmensis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
1.2field-weighted citation impact, top 15% of its field
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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. COVID-19 and Recreational Skiing: Results of a Rapid Systematic Review and Possible Preventive Measures.International journal of environmental research and public health · 2021
    Pooled it
  4. Observational
  5. Review
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  10. Review
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  13. COVID-19: an outbreak in a nursing home in spring 2021.Acta bio-medica : Atenei Parmensis · 2021
    Article
  14. Article
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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

11 authors at 3 institutions in 1 country.

Carlo SignorelliScuola di Specializzazione in Igiene e Medicina Preventiva, Università Vita-Salute San Raffaele, Milano. carlo.signorelli@unipr.it.
Anna OdoneScuola di Specializzazione in Igiene e Medicina Preventiva, Università Vita-Salute San Raffaele, Milano. odone.anna@hsr.it.
Vincenza GianfrediScuola di Specializzazione in Igiene e Medicina Preventiva, Università Vita-Salute San Raffaele, Milano. gianfredi.vincenza@hsr.it.
Eleonora BossiScuola di Specializzazione in Igiene e Medicina Preventiva, Università Vita-Salute San Raffaele, Milano. bossi.eleonora@hsr.it.
Daria BucciScuola di Specializzazione in Igiene e Medicina Preventiva, Università Vita-Salute San Raffaele, Milano. bucci.daria@hsr.it.
Aurea Oradini-AlacreuScuola di Specializzazione in Igiene e Medicina Preventiva, Università Vita-Salute San Raffaele, Milano. oradini.aurea@hsr.it.
Beatrice FrascellaScuola di Specializzazione in Igiene e Medicina Preventiva, Università Vita-Salute San Raffaele, Milano. frascella.beatrice@hsr.it.
Michele CapraroScuola di Specializzazione in Igiene e Medicina Preventiva, Università Vita-Salute San Raffaele, Milano. capraro.michele@hsr.it.
Federica ChiappaScuola di Specializzazione in Igiene e Medicina Preventiva, Università Vita-Salute San Raffaele, Milano. chiappa.federica@hsr.it.
Lorenzo BlandiIRCCS Policlinico San Donato, Scuola di Specializzazione in Igiene e Medicina Preventiva, Università di Pavia. lorenzo.blandi01@universitadipavia.it.
Fabio CiceriIRCCS Ospedale San Raffaele, Milano. ciceri.fabio@hsr.it.
Vita-Salute San Raffaele University · ITIRCCS Ospedale San Raffaele · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We analyzed the spread of the COVID-19 epidemic in 9 metropolitan regions of the world with similar socio-demographic characteristics, daytime commuting population and business activities: the New York State, Bruxelles-Capital, the Community of Madrid, Catalonia, the Île-de-France Region, the Greater London county, Stockholms län, Hovedstaden (Copenhagen) and the Lombardy Region. The Lombardy region reported the highest COVID-19 crude mortality rate (141.0 x 100,000) 70-days after the onset of the epidemic, followed by the Community of Madrid (132.8 x 100,000) New York State (120.7 x 100,000). The large variation in COVID-19 mortality and case-fatality rates for COVID-19 in different age strata suggested a more accurate analysis and interpretation of the epidemic dynamics after standardization of the rates by age. The share of elder populations (>70 years) over total population varies widely in the considered study settings, ranging from 6.9% in Catalonia to 17.0% in Lombardy. When taking age distribution into consideration the highest standardized mortality rate was observed in the State of New York (257.9 x 100,000); with figures in most of the European regions concentrated between 123.3 x 100,000 in Greater London and 177.7 x 100,000 in Bruxelles-Capital, lower in French and Danish regions. We also report and critical appraise, when available, COVID-19 mortality figures in capital cities, nursing homes, as well as excess mortality at country level. Our data raise awareness on the need for a more in-depth epidemiological analysis of the current COVID-19 public health emergency that further explores COVID-19 mortality determinants associated with health services delivery, community-level healthcare, testing approaches and characteristics of surveillance systems, including classification of COVID-19 deaths.

Indexed as

BetacoronavirusAdultAgedAged, 80 and overAge DistributionCoronavirus InfectionsCOVID-19HumansMiddle AgedPandemicsPneumonia, ViralSARS-CoV-2

Identifiers

PMID32701911
PMCPMC8023097
OpenAlexW3043925561

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.