Evidence map›Paper›PMID 37219724›Full record

ArticleEuropean geriatric medicine2023

Frailty and sarcopenia in older kidney transplant recipients: a cross-sectional study.

Akihiro Kosoku, Tomoaki Iwai, Kazuya Kabei, Shunji Nishide, Yuichi Machida, Junji Uchida

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Article in European geriatric medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 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

6 authors at 2 institutions in 1 country.

Akihiro KosokuDepartment of Urology, Meijibashi Hospital, 1-358-3, Miyakenishi, Matsubara, 580-0045, Japan. aki.kosoku@gmail.com.ORCID 0000-0003-0245-2994
Tomoaki IwaiDepartment of Urology, Osaka City University Graduate School of Medicine, 1-4-3, Asahi-Machi, Abeno-Ku, Osaka, 545-8585, Japan.
Kazuya KabeiDepartment of Urology, Osaka City University Graduate School of Medicine, 1-4-3, Asahi-Machi, Abeno-Ku, Osaka, 545-8585, Japan.
Shunji NishideDepartment of Urology, Osaka City General Hospital, 2-13-22, Miyakojima-Hondori, Miyakojima-Ku, Osaka, 534-0021, Japan.
Yuichi MachidaDepartment of Urology, Osaka City University Graduate School of Medicine, 1-4-3, Asahi-Machi, Abeno-Ku, Osaka, 545-8585, Japan.
Junji UchidaDepartment of Urology, Osaka City University Graduate School of Medicine, 1-4-3, Asahi-Machi, Abeno-Ku, Osaka, 545-8585, Japan.
Osaka City University · JPOsaka City General Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aging of the kidney transplant population is accelerating, and measures against geriatric syndromes including frailty and sarcopenia, which elevate the risk of needing long-term care and even death, are being considered important. Recently, both the frailty and sarcopenia criteria for Asians were revised based on various research reports and clinical experiences. The purpose of this study is twofold: firstly, to investigate the prevalence of frailty based on the revised Japanese version of the Cardiovascular Health Study (J-CHS) criteria and the Kihon Checklist (KCL) and that of sarcopenia based on the Asian Working Group for Sarcopenia (AWGS) 2019 as well as the relationship between frailty and sarcopenia, and secondly, to determine the concurrent validity of the KCL with the revised J-CHScriteria in older kidney transplant recipients.

methodsThis study was a single-center cross-sectional investigation carried out on older kidney transplant recipients who visited our hospital from August 2017 to February 2019. The diagnosis of frailty was assessed using the revised J-CHS criteria and the KCL. The diagnosis of sarcopenia was made by low skeletal muscle mass and either low physical performance or low muscle strength based on the AWGS 2019. To examine the relationship between frailty and sarcopenia, categorical variables were compared using chi-squared test and continuous variables Mann-Whitney U test. Spearman's correlation analysis was used to investigate the correlation between the KCL score and the revised J-CHS score. The concurrent validity of the KCL for estimating frailty based on the revised J-CHS criteria was evaluated using the receiver operating characteristics (ROC) curve analysis.

resultsA total of 100 older kidney transplant recipients were enrolled in this study. The median age was 67, 63 (63%) were males, and the median time after transplant was 95 months. The prevalence of frailty based on the revised J-CHS criteria and the KCL, and sarcopenia based on the AWGS 2019 was 15%, and 19%, and 16% respectively. Sarcopenia was significantly associated with frailty based on the KCL (p = 0.016), while not with frailty based on the revised J-CHS criteria (p = 0.11). The KCL score significantly correlated with the revised J-CHS score (p < 0.001). The area under the ROC curve was 0.91.

conclusionFrailty and sarcopenia are interrelated complex geriatric syndromes that are risk factors for adverse health outcomes. In older kidney transplant recipients, frailty and sarcopenia were highly prevalent and frequently co-existed. Furthermore, the KCL was verified as a useful tool for frailty screening in these patient. Easy identification of patients with frailty, which is reversible, can help clinicians institute appropriate corrective measures for kidney transplant recipients to improve transplant outcomes.

Indexed as

FrailtyKidney TransplantationSarcopeniaAgedCross-Sectional StudiesFemaleGeriatric AssessmentHumansMaleSyndromeAgedAgingFrailtyKidney transplantationSarcopenia

Identifiers

PMID37219724
OpenAlexW4377565445

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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.