Evidence map›Paper›PMID 32842999›Full record

Observational studyBMC nephrology2020

Biobanking for glomerular diseases: a study design and protocol for KOrea Renal biobank NEtwoRk System TOward NExt-generation analysis (KORNERSTONE).

Eunjeong Kang, Yaerim Kim, Yong Chul Kim, Eunyoung Kim, Nankyoung Lee, Yeonghui Kim, Soojin Lee, Seungyeup Han, Misun Choe, Jin Ho Hwang and 17 more

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03929887 (Multicenter Prospective Cohort of Kidney Biopsy for Glomerular Disease Research), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

NCT03929887 recruitingnot on this map

Multicenter Prospective Cohort of Kidney Biopsy for Glomerular Disease Research

Typeobservational_patient_registrySponsorSeoul National University HospitalRan2019 to 2028Enrolled3,000ConditionsGlomerular Disease, Minimal Change Disease, IgA Nephropathy, Membranous NephropathyArmsKidney Biopsy
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Systemic Proteome Profiling to Differentiate Primary Glomerular Diseases.Journal of the American Society of Nephrology : JASN · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Artificial intelligence in glomerular diseases.Pediatric nephrology (Berlin, Germany) · 2022
    Review
  8. Article
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

27 authors.

Eunjeong KangDepartment of Internal Medicine, Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine, Seoul, South Korea.
Yaerim KimDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, South Korea.
Yong Chul KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Eunyoung KimSeoul National University Hospital Clinical Trial Centre, Seoul, South Korea.
Nankyoung LeeSeoul National University Hospital Human Biobank, Seoul, South Korea.
Yeonghui KimDivision of Nephrology, Department of Internal Medicine, Keimyung University Dongsan Hospital, Daegu, South Korea.
Soojin LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Seungyeup HanDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, South Korea.
Misun ChoeDepartment of Pathology, Keimyung University School of Medicine, Daegu, South Korea.
Jin Ho HwangDepartment of Internal Medicine, Chung-Ang University Hospital, Seoul, South Korea.
Sunhwa LeeDivision of Nephrology, Department of Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Gangwon-do, South Korea.
Ji In ParkDivision of Nephrology, Department of Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Gangwon-do, South Korea.
Jung Tak ParkDepartment of Internal Medicine, College of Medicine, Institute of Kidney Disease Research, Yonsei University, Seoul, South Korea.
Beom Jin LimDepartment of Pathology, Yonsei University College of Medicine, Seoul, South Korea.
Jung Pyo LeeDepartment of Internal Medicine Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, South Korea.
Jung Nam AnDepartment of Internal Medicine, Hallym University Sacred Heart Hospital, Anyang, South Korea.
Dong-Ryeol RyuDepartment of Internal Medicine, Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine, Seoul, South Korea.
Jung-Hyun KimDepartment of Home Economics Education, Major of Food and Nutrition, Pai Chai University, Daejeon, South Korea.
Hee Gyung KangDepartment of Paediatrics, Seoul National University Children's Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Hyun Soon LeeDepartment of Pathology, Hankook Renal Pathology Lab, Seoul, South Korea.
Kyung Chul MoonDepartment of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Kwon Wook JooDepartment of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Kook-Hwan OhDepartment of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Seung Seok HanDepartment of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Hajeong LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Dong Ki KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea. dkkim73@gmail.com.ORCID 0000-0002-5195-7852
KORNERSTONE Study Group

Funding

Korea Centers for Disease Control and Prevention #4845-303
6 · The paper itself

Abstract

backgroundsGlomerular diseases, a set of debilitating and complex disease entities, are related to mortality and morbidity. To gain insight into pathophysiology and novel treatment targets of glomerular disease, various types of biospecimens linked to deep clinical phenotyping including clinical information, digital pathology, and well-defined outcomes are required. We provide the rationale and design of the KOrea Renal biobank NEtwoRk System TOward Next-generation analysis (KORNERSTONE).

methodsThe KORNERSTONE, which has been initiated by Korea Centres for Disease Control and Prevention, is designed as a multi-centre, prospective cohort study and biobank for glomerular diseases. Clinical data, questionnaires will be collected at the time of kidney biopsy and subsequently every 1 year after kidney biopsy. All of the clinical data will be extracted from the electrical health record and automatically uploaded to the web-based database. High-quality digital pathologies are obtained and connected in the database. Various types of biospecimens are collected at baseline and during follow-up: serum, urine, buffy coat, stool, glomerular complementary DNA (cDNA), tubulointerstitial cDNA. All data and biospecimens are processed and stored in a standardised manner. The primary outcomes are mortality and end-stage renal disease. The secondary outcomes will be deterioration renal function, remission of proteinuria, cardiovascular events and quality of life. DISCUSSION: Ethical approval has been obtained from the institutional review board of each participating centre and ethics oversight committee. The KORNERSTONE is designed to deliver pioneer insights into glomerular diseases. The study design allows comprehensive, integrated and high-quality data collection on baseline laboratory findings, clinical outcomes including administrative data and digital pathologic images. This may provide various biospecimens and information to many researchers, establish the rationale for future more individualised treatment strategies for glomerular diseases.

trial registrationNCT03929887 .

Indexed as

Biological Specimen BanksDatabases, FactualGlomerulonephritisHumansKidneyKidney Failure, ChronicPatient Outcome AssessmentRenal Replacement TherapyRepublic of KoreaGlomerulonephritisNephrologyPathology

Identifiers

PMID32842999
PMCPMC7448429

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Registered trials

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.