Evidence map›Paper›PMID 36048368›Full record

ArticleJournal of nephrology2022

Transitions in frailty state 12 months after kidney transplantation: a prospective cohort study.

Milena Dos Santos Mantovani, Nyara Coelho de Carvalho, Marcos Ferreira Minicucci, Luis Gustavo Modelli de Andrade, Ricardo de Souza Cavalcante, Gabriel Berg de Almeida, Nara Aline Costa, Julhiany de Fátima da Silva, Ricardo Augusto Monteiro de Barros Almeida

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In one paragraph

Article in Journal of nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
–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, 3 syntheses or guidelines pooled it.

  1. Pooled it
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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

9 authors.

Milena Dos Santos MantovaniMedical School, São Paulo State University (Unesp), Botucatu, São Paulo, Brazil.
Nyara Coelho de CarvalhoMedical School, São Paulo State University (Unesp), Botucatu, São Paulo, Brazil.
Marcos Ferreira MinicucciInternal Medicine Department, São Paulo State University (Unesp), Medical School, Botucatu, São Paulo, Brazil.
Luis Gustavo Modelli de AndradeInternal Medicine Department, São Paulo State University (Unesp), Medical School, Botucatu, São Paulo, Brazil.
Ricardo de Souza CavalcanteDepartment of Infectious Diseases, Dermatology, Imaging Diagnosis, and Radiotherapy, São Paulo State University (Unesp), Medical School, Botucatu, São Paulo, Brazil.
Gabriel Berg de AlmeidaDepartment of Infectious Diseases, Dermatology, Imaging Diagnosis, and Radiotherapy, São Paulo State University (Unesp), Medical School, Botucatu, São Paulo, Brazil.
Nara Aline CostaFaculty of Nutrition, Universidade Federal de Goiás (UFG), Goiânia, Brazil.
Julhiany de Fátima da SilvaDepartment of Infectious Diseases, Dermatology, Imaging Diagnosis, and Radiotherapy, São Paulo State University (Unesp), Medical School, Botucatu, São Paulo, Brazil.
Ricardo Augusto Monteiro de Barros AlmeidaDepartment of Infectious Diseases, Dermatology, Imaging Diagnosis, and Radiotherapy, São Paulo State University (Unesp), Medical School, Botucatu, São Paulo, Brazil. almeidaramb@yahoo.com.br.ORCID 0000-0003-0567-6221

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance Code 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2016/24745-3
6 · The paper itself

Abstract

backgroundFrailty is associated with several unfavorable outcomes after kidney transplantation (KTx). However, limited information is available regarding the transitions in frailty state and its components after KTx. This study aimed to evaluate the transitions in physical frailty phenotype and its components over a period of 12 months after KTx.

methodsIn this prospective single-center cohort study, we measured physical frailty phenotype (PFP) and its components at the time of admission for KTx and 12 months after KTx. The evaluation includes five components: weakness (grip strength analysed by sex and body mass index quartiles), physical activity (kcals/week based on the Minnesota Leisure Time Physical Activity questionnaire), exhaustion (self-report using the Center for Epidemiological Studies Depression Scale), gait speed (time taken to walk 15 feet based on sex and height-specific cutoff), and unintentional weight loss (self-report of unintentional weight loss > 10 lbs in the last year). The exhaustion and physical activity components are validated in the Brazilian population. Each component is scored as 0 or 1 according to its presence or absence, and a PFP score of 3-5 defines frailty, 2 is intermediate, and 0-1 is rated as non-frail. We used the McNemar and Wilcoxon test to compare physical frailty phenotype and its components between the two periods.

resultsAmong 87 patients included in the study, 16.1% were classified as frail, 20.7% as intermediately frail, and 63.2% as non-frail. Sixty-four patients were included in the analysis to evaluate transitions in frailty. At the time of admission for KTx, 15.6% of patients were defined as frail compared to 4.7% of patients at 12 months after KTx (p = 0.023). Among the physical frailty phenotype components, the proportion of patients who scored in the weight loss category 12 months after KTx was significantly lower than that at the time of KTx (6.3% vs 34.4%, p < 0.001).

conclusionsThere was a 69.9% reduction in the prevalence of frail patients at the end of the 12-month follow-up after KTx. Among the components of frailty, weight loss showed a significant improvement.

Indexed as

FrailtyKidney TransplantationAgedCohort StudiesFrail ElderlyGeriatric AssessmentHumansProspective StudiesWeight LossChronic kidney diseaseFrailtyKidney transplantationPhysical frailty phenotype

Identifiers

PMID36048368

What Socratic 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 Socratic graph.