Evidence map›Paper›PMID 42298980›Full record

ArticleKidney research and clinical practice2026

Outpatient visit intervals in chronic kidney disease: adherence to Kidney Disease: Improving Global Outcomes recommendations and determinants of variation.

Somi Kim, Ga Young Heo, Cheol Ho Park, Jung Tak Park, Seung Hyeok Han, Tae-Hyun Yoo, Shin-Wook Kang, Song-Hee Kim, Hyung Woo Kim

Abstract read
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Article in Kidney research and clinical practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Somi KimDivision of Operations Management, SNU Business School, Seoul National University, Seoul, Republic of Korea.
Ga Young HeoDepartment of Internal Medicine and Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
Cheol Ho ParkDepartment of Internal Medicine and Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jung Tak ParkDepartment of Internal Medicine and Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
Seung Hyeok HanDepartment of Internal Medicine and Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
Tae-Hyun YooDepartment of Internal Medicine and Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
Shin-Wook KangDepartment of Internal Medicine and Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
Song-Hee KimDivision of Operations Management, SNU Business School, Seoul National University, Seoul, Republic of Korea. songheekim@snu.ac.kr.
Hyung Woo KimDepartment of Internal Medicine and Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Republic of Korea. drhwint@yuhs.ac.

Funding

Seoul National University
6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is a major global health problem owing to its progressive nature, complications, and substantial healthcare burden. The Kidney Disease: Improving Global Outcomes (KDIGO) guidelines recommend outpatient visit intervals based on CKD severity; however, adherence to these recommendations and the factors influencing the visit interval remain unclear.

methodsThis retrospective observational study included 13,621 patients with CKD treated at a tertiary hospital in South Korea. Using electronic medical records, we used linear regression and Shapley Additive exPlanations (SHAP), a method for interpreting model prediction, to assess the influence of clinical, demographic, and healthcare utilization factors on outpatient visit intervals. Key variables included the CKD stage, comorbidities, age, distance to the hospital, and physician assignment.

resultsVisit intervals shortened as CKD severity increased, although variability was substantial. Adherence to KDIGO-recommended intervals was higher in earlier CKD stages, but declined in intermediate and advanced stages, except for stage G5-A3, where 90.0% of visits met guidelines. Shorter intervals were associated with advanced stage, older age, greater healthcare use, and shorter distance to the hospital. SHAP analysis confirmed these predictors, identifying CKD stage as the dominant factor and revealing notable physician-level variation.

conclusionCKD stage was the primary determinant of outpatient follow-up intervals, but adherence to KDIGO recommendations varied across stages. Visit schedules were also affected by age, comorbidities, healthcare utilization, accessibility, and physician practice. These findings underscore the need for tailored follow-up strategies that reflect both disease severity and clinical context.

Indexed as

Appointments and schedulesChronic kidney diseaseHospital outpatient clinicsPhysicians’ practice patterns

Identifiers

PMID42298980
PMCPMC13575279

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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.