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ArticleBMC nephrology2025

C-INSIGHT: design and methodology of a nationwide registry for high-risk chronic kidney disease in China - a study protocol.

Guihua Wang, Xueyan Bian, Qun Luo, Junwu Dong, Wenli Chen, Yan Hao, Liang Wang, Guangbiao Xu, Bin Yi, Xiaohui Liao and 18 more

Registry-linked trialAbstract read
In one paragraph

Article in BMC nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06117852 (Chronic Kidney Disease Registry Platform Study), which is not on this map. Not yet cited in PubMed.

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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.

NCT06117852 active not recruitingnot on this map

Chronic Kidney Disease Registry Platform Study

Typeobservational_patient_registrySponsorAstraZenecaRan2023 to 2028Enrolled5,000ConditionsChronic Kidney Diseases
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

28 authors.

Guihua WangAffiliated Zhongda Hospital of Southeast University, Nanjing, Jiangsu, China.
Xueyan BianThe First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Qun LuoNingbo No.2 Hospital, Ningbo, Zhejiang, China.
Junwu DongWuhan Fourth Hospital, Wuhan, Hubei, China.
Wenli ChenThe Central Hospital of Wuhan, Wuhan, Hubei, China.
Yan HaoZigong First People's Hospital, Zigong, Sichuan, China.
Liang WangWuxi People's Hospital, Wuxi, Jiangsu, China.
Guangbiao XuTaizhou Hospital of Zhejiang Province, Taizhou, Zhejiang, China.
Bin YiThe Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Xiaohui LiaoThe Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Chaosheng ChenThe 1st Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Jianying NiuShanghai Fifth People's Hospital, Shanghai, China.
Jin DengThe First Affiliated Hospital of University of South China, Hengyang, Hunan, China.
Lianhua ChenHuai'an First People's Hospital, Huai'an, Jiangsu, China.
Yunfang ZhangHuadu District People's Hospital of Guangzhou, Guangzhou, Guangdong, China.
Tianbiao ZhouThe Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Guisen LiSichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, Sichuan, China.
Dongliang ZhangBeijing Jishuitan Hospital, Beijing, China.
Yi LiDongguan People's Hospital, Dongguan, Guangdong, China.
Huijuan MaoJiangsu Province Hospital, Nanjing, Jiangsu, China.
Jicheng LvPeking University First Hospital, Beijing, China.
Qingfeng PengZhuzhou Central Hospital, Zhuzhou, Hunan, China.
Chenli ZhangThe Second People's Hospital of Yibin, Yibin, Sichuan, China.
Peng XiangAstraZeneca Global R&D (China) Co., Ltd., Shanghai, China.
Junfei ZhangAstraZeneca Global R&D (China) Co., Ltd., Shanghai, China.
Hang LiAstraZeneca Global R&D (China) Co., Ltd., Shanghai, China.
Yan XiaoAstraZeneca Global R&D (China) Co., Ltd., Shanghai, China.
Bicheng LiuAffiliated Zhongda Hospital of Southeast University, Nanjing, Jiangsu, China. liubc64@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) poses a significant global health challenge due to its high prevalence, low awareness, poor prognosis, and substantial medical costs. High-risk factors such as severe proteinuria and hypertension exacerbate CKD progression, leading to adverse kidney outcomes, cardiovascular diseases, hospitalizations, and increased mortality. Despite existing CKD registries in China, comprehensive data on patients at high-risk of CKD progression, such as patient with CKD and high proteinuria (CKD-HP) or hypertension (CKD-HTN) are lacking, highlighting the need for a dedicated registry to amass comprehensive patient data, thereby enhancing disease understanding.

methodsThe China Chronic Kidney Disease Registry Platform Study (C-INSIGHT) is a national-wide, multicenter, prospective, observational study designed to enroll approximately 5,000 patients at high risk of CKD progression, including severe proteinuria (urine albumin-to-creatinine ratios (UACR) ≥ 700 mg/g or urine protein-to-creatinine ratio (UPCR) ≥ 1000 mg/g) or hypertension (systolic blood pressure (SBP) ≥ 130 mmHg), from 37 clinical centers across China between November 2023 and December 2026. Data collected will include demographic and clinical characteristics, CKD etiology and staging, diagnosis and treatment patterns, clinical outcomes, healthcare resource utilization, and lifestyle factors. Patients will be followed up annually until study end, withdrawal, loss to follow-up, or death. The study will utilize both traditional chart reviews and electronic medical records for data collection, with data governance methods employed at selected centers to enhance efficiency and accuracy of patient screening and data collection. The outcomes of this registry include both disease progression and clinical outcomes. The disease progression refers to the progressive deterioration of renal function, including decline in estimated Glomerular Filtration Rate (eGFR) category and rapid progression. The clinical outcomes are renal outcomes, cardiovascular outcomes, cardio-kidney composite outcomes, and all-cause mortality. DISCUSSION: C-INSIGHT is the first nationwide initiative in China dedicated to characterizing CKD patients at high-risk for progression, focusing on the unique disease profiles, risk factors, and clinical outcomes of CKD-HP and CKD-HTN subgroups. This registry study will develop predictive models for CKD progression and clinical outcomes and identify gaps between real-world management and guideline-based care of CKD. Large-scale, detailed data on diagnosis, treatment, and outcomes may support the development of enhanced strategies for early intervention, risk stratification, and long-term management, ultimately improving clinical outcomes. This study aims to fill crucial evidence gaps in China, and the findings may provide a reference for CKD management within China or regions with similar populations. TRIAL REGISTRATION DATE: First submitted: 2023-10-31; First submitted that met QC criteria: 2023-10-31; First posted: 2023-11-07.

trial registrationNCT06117852 ( ClinicalTrials.gov ).

Indexed as

RegistriesRenal Insufficiency, ChronicChinaDisease ProgressionHumansHypertensionMulticenter Studies as TopicObservational Studies as TopicProspective StudiesProteinuriaResearch DesignRisk FactorsCKDClinical outcomeHigh-risk factorTreatment pattern

Identifiers

PMID41152758
PMCPMC12570684

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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.