Evidence map›Paper›PMID 37107812›Full record

ArticleInternational journal of environmental research and public health2023

The Effect of COVID-19 Pandemic on Overall and Cause-Specific Mortality in Pavia, Northern Italy: Updated Estimates for the Year 2021.

Paola Bertuccio, Pietro Perotti, Giansanto Mosconi, Simona Dalle Carbonare, Federica Manzoni, Lorenza Boschetti, Stefano Marguati, Paolo Paraluppi, Lorenzo Blandi, Leandro Gentile and 3 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. 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
0.7field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

13 authors at 1 institution in 1 country.

Paola BertuccioDepartment of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-2002-0127
Pietro PerottiHealth Protection Agency of Pavia (ATS Pavia), 27100 Pavia, Italy.
Giansanto MosconiDepartment of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy.
Simona Dalle CarbonareHealth Protection Agency of Pavia (ATS Pavia), 27100 Pavia, Italy.
Federica ManzoniHealth Protection Agency of Pavia (ATS Pavia), 27100 Pavia, Italy.ORCID 0000-0001-5801-3822
Lorenza BoschettiHealth Protection Agency of Pavia (ATS Pavia), 27100 Pavia, Italy.
Stefano MarguatiHealth Protection Agency of Pavia (ATS Pavia), 27100 Pavia, Italy.
Paolo ParaluppiHealth Protection Agency of Pavia (ATS Pavia), 27100 Pavia, Italy.
Lorenzo BlandiDepartment of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-5244-950X
Leandro GentileDepartment of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0003-2375-7287
Maddalena GaetaDepartment of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy.
Lorella CecconamiHealth Protection Agency of Pavia (ATS Pavia), 27100 Pavia, Italy.
Anna OdoneDepartment of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-5657-9774
University of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excess mortality estimates are considered relevant indicators of direct and indirect pandemic effects on the population. Scant data have been published on cause-specific excess mortality. Using individual-level administrative data covering the Pavia province of Italian northern Lombardy region, we provided all-cause and cause-specific raw (RMR) and age-standardized (ASMR) mortality rates in 2021 and 2015-2019, the rate ratio, and 95% confidence intervals, overall and by sex. We obtained the excess deaths in 2021 as the difference between the number of observed and expected deaths from all causes and the two leading causes of death (all neoplasms and circulatory system diseases) by fitting over-dispersed quasi-Poisson regression models, accounting for temporal, seasonal and demographic changes. The total ASMR in 2021 was 972.4/100,000 (6836 certified deaths), with the highest ASMRs for circulatory system diseases (272.6/100,000) and all neoplasms (270.3/100,000), followed by COVID-19 (94.8/100,000 and 662 deaths). Compared to the expected, we estimated a total of 6.2% excess deaths in 2021 (7.2% in males and 5.4% in females), with no excess deaths from all neoplasms and a 6.2% reduction from circulatory system diseases. COVID-19 continued to affect total mortality in 2021, albeit to a lesser extent than in 2020, consistently with national patterns.

Indexed as

Cardiovascular DiseasesCOVID-19NeoplasmsCause of DeathFemaleHumansItalyMaleMortalityPandemicscause of deathCOVID-19excess mortalitypandemic burdenpopulation impactregression models

Identifiers

PMID37107812
PMCPMC10138303
OpenAlexW4366091987

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.