Evidence map›Paper›PMID 36547774›Full record

Observational studyJournal of nephrology2023

Comparison between FRAIL Scale and Clinical Frailty Scale in predicting hospitalization in hemodialysis patients.

Elisabete Mouzinho Soares Barbosa, Amanda Gomes Pereira, Vitória Mori, Renan da Silva Neves, Nayane Maria Vieira, Maryanne Zilli Canedo Silva, Marcos Mitsuo Seki, Hellen Christina Neves Rodrigues, Nara Aline Costa, Daniela Ponce and 7 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Journal of nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 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

17 authors at 2 institutions in 1 country.

Elisabete Mouzinho Soares BarbosaDepartment of Internal Medicine, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Amanda Gomes PereiraDepartment of Internal Medicine, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Vitória MoriDepartment of Internal Medicine, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Renan da Silva NevesDepartment of Internal Medicine, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Nayane Maria VieiraDepartment of Internal Medicine, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Maryanne Zilli Canedo SilvaDepartment of Internal Medicine, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Marcos Mitsuo SekiDepartment of Internal Medicine, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Hellen Christina Neves RodriguesFaculty of Nutrition, Universidade Federal de Goiás (UFG), Street 227 Block 68 s/n, East University Sector, Goiânia, Goiás, 74605-080, Brazil.
Nara Aline CostaFaculty of Nutrition, Universidade Federal de Goiás (UFG), Street 227 Block 68 s/n, East University Sector, Goiânia, Goiás, 74605-080, Brazil. naracosta@ufg.br.ORCID http://orcid.org/0000-0001-8159-1209
Daniela PonceDepartment of Internal Medicine, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
André Luís BalbiDepartment of Internal Medicine, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Leonardo Antonio Mamede ZornoffDepartment of Internal Medicine, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Paula Schmidt AzevedoDepartment of Internal Medicine, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Bertha Furlan PolegatoDepartment of Internal Medicine, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Sérgio Alberto Rupp de PaivaDepartment of Internal Medicine, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Marcos Ferreira MinicucciDepartment of Internal Medicine, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Mariana de Souza DornaDepartment of Internal Medicine, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Universidade Estadual Paulista (Unesp) · BRUniversidade Federal de Goiás · BR

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP - 2019/22232-7)
6 · The paper itself

Abstract

backgroundTo assess the prevalence of frailty by the Clinical Frailty Scale (CFS) and the 5-item FRAIL scale and their association with hospitalization in hemodialysis (HD) patients.

methodsThis was a prospective observational study. We included patients of both genders ≥ 18 years old in HD treatment for at least 3 months. Demographic, clinical, and routine laboratory data were retrieved from the medical charts. Two different frailty assessment tools were used, the CFS and the FRAIL scale. Participants were followed up for 9 months and hospitalizations for all causes were evaluated. A Venn diagram was constructed to show the overlap of possible frailty and pre-frailty. Cox regression was used to identify the association between frailty and hospitalization. The significance level was 5%.

resultsA total of 137 subjects were included in the analysis. The median age was 61 (52-67) years and 60% were male. The hospitalization rate and mortality in 9 months were 22.6% and 7.29%, respectively. Regarding frailty, the overall prevalence was 13.8% assessed by CFS and 36.5% according to the FRAIL scale. In the Cox regression, frailty by FRAIL scale was associated with a 2.8-fold increase in the risk of hospitalization (OR = 2.880; 95% CI = 1.361-6.096; p = 0.006), but frailty assessed by the CFS was not associated with the need for hospitalization.

conclusionIn HD patients, the FRAIL scale proved to be an easy-to-apply tool, identifying a high prevalence of frailty and being a predictor of hospital admission.

Indexed as

FrailtyAdolescentAgedFemaleFrail ElderlyHospitalizationHumansMaleMiddle AgedProspective StudiesRenal DialysisFrailtyHemodialysisHospitalizationScales

Identifiers

PMID36547774
PMCPMC9773694
OpenAlexW4312113503

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.