Evidence map›Paper›PMID 39064209›Full record

ReviewJournal of clinical medicine2024

A Comprehensive Geriatric Workup and Frailty Assessment in Older Patients with Severe Aortic Stenosis.

Enrico Brunetti, Fabiana Lucà, Roberto Presta, Niccolò Marchionni, Alessandro Boccanelli, Andrea Ungar, Carmelo Massimiliano Rao, Nadia Ingianni, Maddalena Lettino, Donatella Del Sindaco and 9 more

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trends and Projections for Aortic Stenosis and Hypertension-Related Mortality Among Older Adults in the United States: A Retrospective Population-Based Analysis.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2026
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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

19 authors.

Enrico BrunettiGeriatric Unit, Department of Medical Sciences, University of Turin, Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy.ORCID 0000-0003-2028-2319
Fabiana LucàCardiology Department, Grande Ospedale Metropolitano di Reggio, 89124 Reggio Calabria, Italy.ORCID 0000-0002-5369-5382
Roberto PrestaGeriatric Unit, Department of Medical Sciences, University of Turin, Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy.ORCID 0000-0001-6680-7681
Niccolò MarchionniDepartment of Experimental and Clinical Medicine, University of Florence, Largo G. Brambilla 3, 50134 Florence, Italy.ORCID 0000-0002-8101-4695
Alessandro BoccanelliUniCamillus University, 00131 Rome, Italy.
Andrea UngarDepartment of Experimental and Clinical Medicine, University of Florence, Largo G. Brambilla 3, 50134 Florence, Italy.
Carmelo Massimiliano RaoCardiology Department, Grande Ospedale Metropolitano di Reggio, 89124 Reggio Calabria, Italy.
Nadia IngianniCardiology ASP, 91100 Trapani, Italy.
Maddalena LettinoDepartment for Cardiac, Thoracic and Vascular Diseases, Fondazione IRCCS San Gerardo dei Tintori, 20900 Monza, Italy.
Donatella Del SindacoUOC Santo Spirito-Nuova Regina Margherita-ASL Rome 1, 00153 Rome, Italy.
Adriano MurroneS.C. Cardiologia-UTIC, Ospedali di Città di Castello e di Gubbio-Gualdo Tadino, AUSL Umbria 1, 06127 Perugia, Italy.
Carmine RiccioDivision of Clinical Cardiology, A.O.R.N. 'Sant'Anna e San Sebastiano', 81100 Caserta, Italy.
Furio ColivicchiClinical and Rehabilitation Cardiology Unit, San Filippo Neri Hospital, 00135 Rome, Italy.
Massimo GrimaldiCardiology Department, Miulli Hospital, Acquaviva delle Fonti, 70021 Bari, Italy.
Michele Massimo GuliziaCardiology Department, Garibaldi-Nesima Hospital, 95122 Catania, Italy.
Fabrizio OlivaCardiovascular Department "A. De Gasperis", ASST Niguarda Hospital, 20162 Milano, Italy.
Mario BoGeriatric Unit, Department of Medical Sciences, University of Turin, Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy.ORCID 0000-0003-2945-0243
Iris ParriniDepartment of Cardiology, Mauriziano Hospital, 10128 Turin, Italy.ORCID 0000-0002-0038-9445
Italian Society of Geriatric Cardiology (SICGe), Cardiogeriatrics Working Group of Italian Association of Hospital Cardiologists, (ANMCO), Multi-Specialist and Multi-Integrated Approach in Cardiac Patients Working Group ANMCO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aortic stenosis (AS) represents a notable paradigm for cardiovascular (CV) and geriatric disorders owing to comorbidity. Transcatheter aortic valve replacement (TAVR) was initially considered a therapeutic strategy in elderly individuals deemed unsuitable for or at high risk of surgical valve replacement. The progressive improvement in TAVR technology has led to the need to refine older patients' stratification, progressively incorporating the concept of frailty and other geriatric vulnerabilities. Recognizing the intricate nature of the aging process, reliance exclusively on chronological age for stratification resulted in an initial but inadequate tool to assess both CV and non-CV risks effectively. A comprehensive geriatric evaluation should be performed before TAVR procedures, taking into account both physical and cognitive capabilities and post-procedural outcomes through a multidisciplinary framework. This review adopts a multidisciplinary perspective to delve into the diagnosis and holistic management of AS in elderly populations in order to facilitate decision-making, thereby optimizing outcomes centered around patient well-being.

Indexed as

elderlyfrailtyside adversetranscatheter aortic valve implantation

Identifiers

PMID39064209
PMCPMC11278149

What OpenQuestion holds

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Registered trials

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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.