Evidence map›Paper›PMID 41907822›Full record

ArticleKidney international reports2026

Cross-Population Validation of the Pediatric CKD Risk-Prediction Tool.

Peong Gang Park, Jayoun Kim, Naye Choi, Ji Hyun Kim, Seon Hee Lim, Joo Hoon Lee, Min Ji Park, Hee Sun Baek, Min Hyun Cho, Keum Hwa Lee and 9 more

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Article in Kidney international reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Peong Gang ParkDivision of Pediatric Nephrology, Severance Children's Hospital, Seoul, South Korea.
Jayoun KimMedical Research Collaborating Center, Seoul National University Hospital, Seoul, South Korea.
Naye ChoiDepartment of Pediatrics, Seoul National University Children's Hospital, Seoul, South Korea.
Ji Hyun KimDepartment of Pediatrics, Seoul National University Bundang Hospital, Seongnam, South Korea.
Seon Hee LimDepartment of Pediatrics, School of Medicine, Pusan National University Children's Hospital, Pusan National University, Busan, South Korea.
Joo Hoon LeeDepartment of Pediatrics, Children's Hospital, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Min Ji ParkDepartment of Pediatrics, School of Medicine, Kyungpook National University, Daegu, South Korea.
Hee Sun BaekDepartment of Pediatrics, School of Medicine, Kyungpook National University, Daegu, South Korea.
Min Hyun ChoDepartment of Pediatrics, School of Medicine, Kyungpook National University, Daegu, South Korea.
Keum Hwa LeeDivision of Pediatric Nephrology, Severance Children's Hospital, Seoul, South Korea.
Jae Il ShinDivision of Pediatric Nephrology, Severance Children's Hospital, Seoul, South Korea.
Kyoung Hee HanDepartment of Pediatrics, Jeju National University College of Medicine, Jeju, South Korea.
Jeong Yeon KimDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Ji Yeon SongDepartment of Pediatrics, School of Medicine, Pusan National University Children's Hospital, Pusan National University, Busan, South Korea.
Eun Mi YangDepartment of Pediatrics, School of Medicine, Chonnam National University Hospital, Gwangju, South Korea.
Seong Heon KimDepartment of Pediatrics, Seoul National University Children's Hospital, Seoul, South Korea.
Yo Han AhnDepartment of Pediatrics, Seoul National University Children's Hospital, Seoul, South Korea.
Hee Gyung KangDepartment of Pediatrics, Seoul National University Children's Hospital, Seoul, South Korea.
Eujin ParkDepartment of Pediatrics, Korea University Guro Hospital, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aimed to externally validate the performance of the kidney replacement therapy (KRT) risk prediction calculator for chronic kidney disease (CKD) in children in an ethnically distinct East Asian population. Methods: We externally validated the KRT risk prediction calculator for CKD in children using data from the KoreaN Cohort Study on Outcomes in Pediatric CKD (KNOW-Ped CKD) cohort. Six parametric survival models from the generalized gamma family were tested, stratified into 2 groups as follows: change in glomerular filtration rate (GFR)-based (group 1) and cross-sectional (group 2). Missing data (≤ 7.9%) were addressed via multiple imputations using chained equations. Outcomes were timed to KRT initiation. The model performance was evaluated based on goodness-of-fit, discrimination ability, calibration, and predictive ability. Results: Overall, 533 children were included in the validation cohort. The median age and baseline estimated GFR (eGFR) were 10.8 years (interquartile range [IQR]: 5.3-14.5) and 57.6 ml/min per 1.73 m Conclusion: These findings underscore the potential utility of the calculator in improving prognostication and clinical decision-making in pediatric CKD.

Indexed as

chronic kidney diseasekidney replacement therapypediatric nephrologypredictionrisk stratification

Identifiers

PMID41907822
PMCPMC13022647

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.