Evidence map›Paper›PMID 40490631›Full record

ArticleAging clinical and experimental research2025

Usefulness of a new digital version of the MPI-SVaMA (MPI-SVaMA Digit) in predicting short- and long-term mortality in community-dwelling older people.

Wanda Morganti, Emanuele Seminerio, Nicola Veronese, Romina Custureri, Carolina Massone, Peter Fielding, Maria Chiara Corti, Stefania Maggi, Luigi Ferrucci, Alberto Pilotto

Abstract read
In one paragraph

Article in Aging clinical and experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

10 authors.

Wanda MorgantiResearch, Development and Scientific Coordination Unit, National Reference & High Specialization Hospital, E.O. Galliera Hospitals, Genoa, Italy.ORCID https://orcid.org/0000-0001-6214-7276
Emanuele SeminerioResearch, Development and Scientific Coordination Unit, National Reference & High Specialization Hospital, E.O. Galliera Hospitals, Genoa, Italy. emanuele.seminerio@galliera.it.ORCID https://orcid.org/0009-0000-5342-7102
Nicola VeroneseFaculty of Medicine, Saint Camillus International University of Health Sciences, Rome, Italy.
Romina CustureriGeriatrics Unit, Department of Medicine and Geriatrics, E.O. Galliera Hospital, Genoa, Italy.
Carolina MassoneResearch, Development and Scientific Coordination Unit, National Reference & High Specialization Hospital, E.O. Galliera Hospitals, Genoa, Italy.
Peter FieldingGeriatrics Unit, Department of Medicine and Geriatrics, E.O. Galliera Hospital, Genoa, Italy.
Maria Chiara CortiCollege of Physicians and Dentists of Padova, Padova, Italy.
Stefania MaggiAging Branch, National Research Council (CNR), Padova, Italy.
Luigi FerrucciTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-6273-1613
Alberto PilottoResearch, Development and Scientific Coordination Unit, National Reference & High Specialization Hospital, E.O. Galliera Hospitals, Genoa, Italy.ORCID https://orcid.org/0000-0002-8615-1955

Funding

Ministero della Salute NET-2016-02361805Regione Liguria NET-2016-02361805
6 · The paper itself

Abstract

backgroundThe Multidimensional Evaluation of Elderly Person Form (SVaMA) is the official Comprehensive Geriatric Assessment (CGA) tool in most Italian regions for assessing medical, social, and functional needs of community-dwelling older people and developing an integrated care plan to meet them. The Multidimensional Prognostic Index (MPI) is a validated CGA-based tool for predicting mortality, other negative health outcomes and assessing multidimensional frailty. SVaMA's wide diffusion in clinical practice prompted the development of an MPI version based on its data (MPI-SVaMA).

aimsAssessing the usefulness in predicting mortality of a new digital version of the MPI-SVaMA (MPI-SVaMA Digit) through a simpler model.

methodsIn this retrospective cohort study, 12.020 community-dwelling older people (≥ 65 years) who underwent the SVaMA in Veneto, Italy were included. One-month and one-year mortality rates were retrieved from Registry Offices. The MPI-SVaMA Digit was obtained by assigning a risk category to each domain assessed in the SVaMA. Accuracy and precision were assessed using Area Under the Curve (AUC) and concordance index (C-index). The association between MPI-SVaMA Digit and mortality was evaluated through Cox regression analysis.

resultsThe MPI-SVaMA Digit showed good accuracy and precision in predicting 1-month (AUC = 0.78; 95%CI 0.75-0.81, C-index = 0.78 95%CI 9.75-0.81) and 1-year mortality (AUC = 0.77; 95%CI 0.76-0.78, C-index = 0.72 95%CI 0.71-0.74). People at moderate and severe risk of multidimensional frailty showed, respectively a 4-fold and 12-fold increased mortality risk than the group at mild risk.

conclusionThe new MPI-SVaMA Digit is an accurate prognostic tool for short- and long-term mortality useful to address clinical and organizational demands in community-dwelling older people.

Indexed as

Geriatric AssessmentIndependent LivingMortalityAgedAged, 80 and overFemaleFrail ElderlyFrailtyHumansItalyMalePrognosisRetrospective StudiesCommunity-dwellingComprehensive geriatric assessmentGerontechnologyMultidimensional prognostic indexOlder people

Identifiers

PMID40490631
PMCPMC12148959

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.