Evidence map›Paper›PMID 37878253›Full record

ArticleLa Medicina del lavoro2023

No Excess Total Mortality in Italy in the First Semester of 2023 at All Ages and in the Working Age Population.

Gianfranco Alicandro, Alberto Gerli, Claudia Santucci, Stefano Centanni, Giuseppe Remuzzi, Carlo La Vecchia

Abstract read
In one paragraph

Article in La Medicina del lavoro, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Gianfranco AlicandroDepartment of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy. gianfranco.alicandro@istat.it.
Alberto GerliDepartment of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy . alberto.gerli@unimi.it.
Claudia SantucciDepartment of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy . claudia.santucci@unimi.it.
Stefano CentanniRespiratory Unit, Department of Health Sciences, ASST Santi Paolo e Carlo, Università degli Studi di Milano, Milan, Italy. stefano.centanni@unimi.it.
Giuseppe RemuzziIstituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy. giuseppe.remuzzi@marionegri.it.
Carlo La VecchiaDepartment of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy . carlo.lavecchia@unimi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundItaly experienced a sustained excess in total mortality between March 2020 and December 2022, resulting in approximately 226,000 excess deaths. This study extends the estimate of excess mortality in the country until June 2023, evaluating the persistence of excess mortality.

methodsWe used mortality and population data from 2011 to 2019 to establish a baseline for expected deaths during the pandemic. Over-dispersed Poisson regression models were employed, stratified by sex, to predict expected deaths. These models included calendar year, age group, and a smoothed function for the day of the year as predictors. Excess mortality was then calculated for all ages and working ages (25-64 years).

resultsFrom January to June 2023, we found a reduction in the number of deaths compared to the expected ones: 6,933 fewer deaths across all age groups and 1,768 fewer deaths in the working age category. This corresponds to a 2.1% and 5.2% decrease in mortality, respectively.

conclusionsThe excess mortality observed in Italy from March to December 2022 was no longer observed in the first six months of 2023.

Indexed as

PandemicsHumansItaly

Identifiers

PMID37878253
PMCPMC10627104

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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.