Evidence map›Paper›PMID 36969648›Full record

ArticleFrontiers in public health2023

Frailty and comorbidity burden in Atrial Fibrillation.

Francesco Salis, Antonella Palimodde, Giorgia Demelas, Maria Ilaria Scionis, Antonella Mandas

Open access · goldFull text read
In one paragraph

Article in Frontiers in public health, 2023. 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
8.6field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 15 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

5 authors at 1 institution in 1 country.

Francesco SalisDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Antonella PalimoddeDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Giorgia DemelasDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Maria Ilaria ScionisDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Antonella MandasDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
University of Cagliari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the aging of the population, the characterization of frailty and comorbidity burden is increasingly taking on particular importance. The aims of the present study are to analyze such conditions in a population affected by Atrial Fibrillation (AF), matching it with a population without AF, and to recognize potential independent factors associated with such common cardiovascular disease. Methods: This study included subjects consecutively evaluated over 5 years at the Geriatric Outpatient Service, University Hospital of Monserrato, Cagliari, Italy. A sum of 1981 subjects met the inclusion criteria. The AF-group was made up of 330 people, and another 330 people were randomly selected to made up the non-AF-group. The sample was subjected to Comprehensive Geriatric Assessment (CGA). Results: In our sample, severe comorbidity burden ( Conclusions: Elderly people with AF are frailer, have more severe comorbidities, and take more drugs, in particular beta blockers, than people without AF, who conversely have a higher survival probability. Furthermore, it is necessary to pay attention to antiplatelets, especially in AF-group, in order to avoid dangerous under- or over-prescriptions.

Indexed as

Atrial FibrillationFrailtyAgedComorbidityHumansItalyantiplatelet drugsAtrial Fibrillation (AF)comorbiditiesComprehensive Geriatric Assessmentfrailty

Identifiers

PMID36969648
PMCPMC10034171
OpenAlexW4323668305

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.