Evidence map›Paper›PMID 35661341›Full record

ArticleEuropean geriatric medicine2022

Absence of negativization of nasal swab test and frailty as risk factors for mortality in elderly COVID-19 patients admitted in long-term care facilities.

Raffaele Pagliuca, Maria Grazia Cupido, Giacomo Mantovani, Maura Bugada, Giulia Matteucci, Arturo Caffarelli, Federico Bellotti, Raffaella Cocchieri, Antonio Dentale, Federica Lozzi and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in European geriatric medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 4 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

14 authors at 1 institution in 1 country.

Raffaele PagliucaDepartment Medicine, AUSL Ferrara, Via Cassoli, 30, 44121, Ferrara, Italy. raffaele.pagliuca@ausl.fe.it.ORCID 0000-0002-8033-737X
Maria Grazia CupidoDepartment Medicine, AUSL Ferrara, Via Cassoli, 30, 44121, Ferrara, Italy.
Giacomo MantovaniDepartment Medicine, AUSL Ferrara, Via Cassoli, 30, 44121, Ferrara, Italy.
Maura BugadaDepartment Medicine, AUSL Ferrara, Via Cassoli, 30, 44121, Ferrara, Italy.
Giulia MatteucciDepartment Medicine, AUSL Ferrara, Via Cassoli, 30, 44121, Ferrara, Italy.
Arturo CaffarelliDepartment Medicine, AUSL Ferrara, Via Cassoli, 30, 44121, Ferrara, Italy.
Federico BellottiDepartment Medicine, AUSL Ferrara, Via Cassoli, 30, 44121, Ferrara, Italy.
Raffaella CocchieriDepartment Medicine, AUSL Ferrara, Via Cassoli, 30, 44121, Ferrara, Italy.
Antonio DentaleDepartment Medicine, AUSL Ferrara, Via Cassoli, 30, 44121, Ferrara, Italy.
Federica LozziDepartment Medicine, AUSL Ferrara, Via Cassoli, 30, 44121, Ferrara, Italy.
Paola MalagoliDepartment Medicine, AUSL Ferrara, Via Cassoli, 30, 44121, Ferrara, Italy.
Pasquale MorabitoDepartment Medicine, AUSL Ferrara, Via Cassoli, 30, 44121, Ferrara, Italy.
Gianluca SerraDepartment Medicine, AUSL Ferrara, Via Cassoli, 30, 44121, Ferrara, Italy.
Candida AndreatiDepartment Medicine, AUSL Ferrara, Via Cassoli, 30, 44121, Ferrara, Italy.
University of Ferrara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

methodsA limited amount of data is now available on prognostic factors and mortality among elderly people resident in Long-Term Care facilities and in post-acute units. These populations (in particular those with underlying chronic medical conditions) seem to have higher risk of morbidity and mortality related to COVID-19 disease, but further evidence is needed. The aim of our study is to investigate the impact of some well-known prognostic factors in elderly patients (≥ 65 years) with COVID-19 admitted in the Long-Term Care setting in AUSL Ferrara, Italy. We performed binary regression logistic analysis for some variables (demographic data, clinical data including nasal swab test (NST) at discharge and frailty assessments) to find potential predictors of mortality. We subsequently tested statistically significant variables using Kaplan-Meier curves and Cox-regression models to find survival outcomes and related hazard ratio.

resultsRisk factors associated with increased mortality resulted NST at discharge, infection, age and frailty. At a further secondary analysis carried out between NST at discharge, age and clinical frailty scale (CFS) < 5, we found a positive correlation between NST at discharge and CFS < 5. Kaplan-Meier curves showed a statistically significant difference regarding frailty and NST at discharge but not for age.

conclusionOur study showed that absence of negativization of NST at discharge and frailty are strong predictors for mortality in elderly COVID-19 patients admitted in Long-Term Care facilities, while age and the comorbidity burden are less important.

Indexed as

COVID-19FrailtyAgedHumansLong-Term CareRisk FactorsCOVID-19Long-Term Care Frailty COVIDNasal swab test

Identifiers

PMID35661341
PMCPMC9166148
OpenAlexW4281899149

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.