Evidence mapPaperPMID 41223872Full record

ReviewThe Korean journal of internal medicine2025

Clinical challenges and individualized approaches to dialysis therapy in older adults.

Sungmi Kim, Yu Ah Hong

Abstract readReview
In one paragraph

Review in The Korean journal of internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Sungmi KimDivision of Nephrology, Department of Internal Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Yu Ah HongDivision of Nephrology, Department of Internal Medicine, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.

Funding

Korean Society of NephrologyMinistry of Science and ICTNational Research Foundation of Korea RS-2021-NR061667
6 · The paper itself

Abstract

Global population aging has substantially increased in the number of older adults who undergo kidney replacement therapy (KRT). Age-related physiological changes and functional dependence in this population lead to the multifaceted clinical and ethical challenges associated with KRT. Geriatric syndromes, including functional impairment, frailty, malnutrition, and multimorbidity, can influence the choice of dialysis modality and modify dialysis prescriptions, often resulting in patients requiring assistance with dialysis implementation. Although dialysis remains a key life-sustaining therapy, the limited life expectancy and multiple comorbidities of older adults increase the risk of adverse outcomes, supporting the consideration of conservative kidney management as an alternative. Furthermore, because many older adults prioritize quality of life and reduced treatment burdens over longevity and biochemical targets, dialysis-related decisions should be tailored to individual preferences and goals. Shared decision-making involving older patients, their caregivers, healthcare professionals, and nephrologists is essential for determining the most appropriate treatment approach. This review addresses the clinical considerations in decision- making regarding dialysis and proposes optimal treatment strategies tailored to the unique needs of older patients with chronic kidney disease.

Indexed as

Renal DialysisRenal Insufficiency, ChronicAgedAged, 80 and overAge FactorsClinical Decision-MakingDecision Making, SharedGeriatric AssessmentHumansPrecision MedicineQuality of LifeRisk FactorsTreatment OutcomeAgedDialysisFrailtyGeriatric assessment

Identifiers

PMID41223872
PMCPMC12611494

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.