Evidence map›Paper›PMID 33095428›Full record

ArticleAging clinical and experimental research2021

Atrial fibrillation in older patients and artificial intelligence: a quantitative demonstration of a link with some of the geriatric multidimensional assessment tools-a preliminary report.

Stefano Fumagalli, Giulia Pelagalli, Riccardo Franci Montorzi, Ko-Mai Li, Ming-Shiung Chang, Shu-Chen Chuang, Emanuele Lebrun, Carlo Fumagalli, Giulia Ricciardi, Andrea Ungar and 1 more

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In one paragraph

Article in Aging clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Stefano FumagalliGeriatric Intensive Care Unit and Geriatric Arrhythmia Unit, Department of Experimental and Clinical Medicine, University of Florence and AOU Careggi, Largo Brambilla, 3, 50134, Florence, Italy. stefano.fumagalli@unifi.it.ORCID http://orcid.org/0000-0002-6950-3875
Giulia PelagalliGeriatric Intensive Care Unit and Geriatric Arrhythmia Unit, Department of Experimental and Clinical Medicine, University of Florence and AOU Careggi, Largo Brambilla, 3, 50134, Florence, Italy.
Riccardo Franci MontorziGeriatric Intensive Care Unit and Geriatric Arrhythmia Unit, Department of Experimental and Clinical Medicine, University of Florence and AOU Careggi, Largo Brambilla, 3, 50134, Florence, Italy.
Ko-Mai LiRooti Labs Limited, Taipei, Taiwan.
Ming-Shiung ChangRooti Labs Limited, Taipei, Taiwan.
Shu-Chen ChuangRooti Labs Limited, Taipei, Taiwan.
Emanuele LebrunMDT Cardio SrL, Florence, Italy.
Carlo FumagalliGeriatric Intensive Care Unit and Geriatric Arrhythmia Unit, Department of Experimental and Clinical Medicine, University of Florence and AOU Careggi, Largo Brambilla, 3, 50134, Florence, Italy.
Giulia RicciardiGeriatric Intensive Care Unit and Geriatric Arrhythmia Unit, Department of Experimental and Clinical Medicine, University of Florence and AOU Careggi, Largo Brambilla, 3, 50134, Florence, Italy.
Andrea UngarGeriatric Intensive Care Unit and Geriatric Arrhythmia Unit, Department of Experimental and Clinical Medicine, University of Florence and AOU Careggi, Largo Brambilla, 3, 50134, Florence, Italy.
Niccolò MarchionniGeriatric Intensive Care Unit and Geriatric Arrhythmia Unit, Department of Experimental and Clinical Medicine, University of Florence and AOU Careggi, Largo Brambilla, 3, 50134, Florence, Italy.
University of Florence · ITAzienda Ospedaliero-Universitaria Careggi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) associates with disability and frailty. Aim of this study was to evaluate in older AF patients, using artificial intelligence (AI), the relations between geriatric tools and daily standing and resting periods. We enrolled thirty-one > 65 years patients undergoing electrical cardioversion of AF (age: 79 ± 6 years; women: 41.9%; CHA

Indexed as

Atrial FibrillationFrailtyAgedAged, 80 and overArtificial IntelligenceElectric CountershockFemaleGeriatric AssessmentHumansArtificial intelligenceAtrial fibrillationElderlyGeriatric depression scaleGeriatric multidimensional assessmentMini-mental state examination

Identifiers

PMID33095428
OpenAlexW3093479290

What OpenQuestion holds

Textmetadata
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.