Evidence map›Paper›PMID 35006542›Full record

ArticleAging clinical and experimental research2022

Estimating COVID-19-induced excess mortality in Lombardy, Italy.

Antonello Maruotti, Giovanna Jona-Lasinio, Fabio Divino, Gianfranco Lovison, Massimo Ciccozzi, Alessio Farcomeni

Abstract read
In one paragraph

Article in Aging clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Review
  8. Article
  9. Assessment of Excess Mortality in Italy in 2020-2021 as a Function of Selected Macro-Factors.International journal of environmental research and public health · 2023
    Article
  10. Observational
  11. Article
  12. Article
  13. Assessing COVID-19-Related Excess Mortality Using Multiple Approaches-Italy, 2020-2021.International journal of environmental research and public health · 2022
    Article
  14. Observational
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

6 authors.

Antonello MaruottiDipartimento GEPLI, Libera Università Maria Ss Assunta, Rome, Italy. a.maruotti@lumsa.it.ORCID http://orcid.org/0000-0001-8377-9950
Giovanna Jona-LasinioDipartimento di Scienze Statistiche, Sapienza Università di Roma, Rome, Italy.
Fabio DivinoDipartimento di Bioscienze e Territorio, Università del Molise, Pesche, Italy.
Gianfranco LovisonDipartimento di Scienze Economiche, Aziendali e Statistiche, Università di Palermo, Palermo, Italy.
Massimo CiccozziUnità di Statistica Medica ed Epidemiologia, Campus Biomedico, Rome, Italy.
Alessio FarcomeniDipartimento di Economia e Finanza, Università di Roma "Tor Vergata", Rome, Italy.

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca FISR2020IP_00156 "Modelli statistici inferenziali per governare l'epidemia" (SMIGE)
6 · The paper itself

Abstract

We compare the expected all-cause mortality with the observed one for different age classes during the pandemic in Lombardy, which was the epicenter of the epidemic in Italy. The first case in Italy was found in Lombardy in early 2020, and the first wave was mainly centered in Lombardy. The other three waves, in Autumn 2020, March 2021 and Summer 2021 are also characterized by a high number of cases in absolute terms. A generalized linear mixed model is introduced to model weekly mortality from 2011 to 2019, taking into account seasonal patterns and year-specific trends. Based on the 2019 year-specific conditional best linear unbiased predictions, a significant excess of mortality is estimated in 2020, leading to approximately 35000 more deaths than expected, mainly arising during the first wave. In 2021, instead, the excess mortality is not significantly different from zero, for the 85+ and 15-64 age classes, and significant reductions with respect to the 2020 estimated excess mortality are estimated for other age classes.

Indexed as

COVID-19HumansItalyLinear ModelsMortalityPandemicsSARS-CoV-2All-cause mortalityCOVID-19Excess mortalitySurveillance

Identifiers

PMID35006542
PMCPMC8743436

What OpenQuestion holds

Textmetadata
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.