Evidence map›Paper›PMID 40216424›Full record

Observational studyBMJ open2025

Twenty-year trend in comorbidity score among adults aged 50-85 years in Lombardy, Italy: Age-Cohort-Period analysis and future trends.

Giovanni Corrao, Matteo Franchi, Alina Tratsevich, Vittoria Bracci, Olivia Leoni, Giulio Zucca, Giuseppe Mancia, Guido Bertolaso

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Giovanni CorraoUniversity of Milan-Bicocca, Milano, Italy.ORCID http://orcid.org/0000-0002-1034-8444
Matteo FranchiStatistics and Quantitative Methods, University of Milan-Bicocca, Milano, Italy matteo.franchi@unimib.it.ORCID http://orcid.org/0000-0001-9620-8057
Alina TratsevichStatistics and Quantitative Methods, University of Milan-Bicocca, Milano, Italy.
Vittoria BracciStatistics and Quantitative Methods, University of Milan-Bicocca, Milano, Italy.
Olivia LeoniWelfare Department, Operative Centre for Health Data, Lombardy Region, Milano, Lombardia, Italy.
Giulio ZuccaWelfare Councillor Office, Lombardy Region, Milano, Lombardia, Italy.
Giuseppe ManciaUniversity of Milan-Bicocca, Milano, Italy.
Guido BertolasoWelfare Councillor, Lombardy Region, Milano, Lombardia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the effects of age, birth cohort, and period on comorbidity rates as well as project their future trends over the next 25 years.

designPopulation-based retrospective observational study.

settingRecord linkage from the population-based healthcare utilisation database of Lombardy, Italy, between 2004 and 2023.

participantsAll beneficiaries of the Italian National Health Service (NHS) aged 50-85 years residing in Lombardy. Data were separately analysed for each year from 2004 to 2023, with thus the availability of 20 study populations. PRIMARY OUTCOME MEASURES: Comorbidities were traced via the medical services provided by the NHS, and the overall quantification was obtained by the Multisource Comorbidity Score, which was developed and validated for the Italian population. The temporal analysis of the 20 yearly temporal comorbidity rates was obtained by the Age-Cohort-Period models. The comorbidities prevalence trends were forecasted from 2025 to 2050.

resultsFrom 2004 to 2023, the prevalence of comorbidities declined from 46% to 40% in men and from 47% to 42% in women. An increase in prevalence between the ages of 50 and 85 years was observed for both women (from 33% to 63%) and men (from 29% to 67%). A declining prevalence was observed among cohorts born from 1922 to 1970 for both women (by 33%) and men (by 50%). A continued decline in the absolute number and prevalence rate of comorbidities is expected for both women and men until 2050.

conclusionsThe decline in ageing-related comorbidity prevalence over time may persist up to 2050. Improved medical care and public health initiatives benefiting individuals born in more recent years may counterbalance the expected trend of increasing comorbidity prevalence due to population ageing.

Indexed as

ComorbidityAgedAged, 80 and overAge FactorsFemaleHumansItalyMaleMiddle AgedPrevalenceRetrospective StudiesAgingEPIDEMIOLOGYPUBLIC HEALTH

Identifiers

PMID40216424
PMCPMC11987105

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