Evidence map›Paper›PMID 41968770›Full record

ArticleRenal failure2026

Relative circadian disruption in urinary excretion associates with renal function in biopsy-proven primary glomerular diseases: a cross-sectional study using the novel CRDI metric.

Jie Wang, Yisha Li, Xieguanxuan Xu, Guangyan Cai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Renal failure, 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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0citing papers in PubMed
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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

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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

4 authors.

Jie WangDepartment of Nephrology, First Medical Center of Chinese, PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Preventionand Treatment of Pan-Vascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine (zyyzdxk-2023310), Beijing, China.
Yisha LiDepartment of Nephrology, First Medical Center of Chinese, PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Preventionand Treatment of Pan-Vascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine (zyyzdxk-2023310), Beijing, China.
Xieguanxuan XuDepartment of Nephrology, First Medical Center of Chinese, PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Preventionand Treatment of Pan-Vascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine (zyyzdxk-2023310), Beijing, China.
Guangyan CaiDepartment of Nephrology, First Medical Center of Chinese, PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Preventionand Treatment of Pan-Vascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine (zyyzdxk-2023310), Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The circadian rhythmicity of urinary solute excretion is a hallmark of intact renal physiology, yet its disruption in chronic kidney disease (CKD) lacks a practical quantitative tool. We developed the novel Circadian Rhythm Disruption Index (CRDI) to objectively quantify this disruption from routine clinical data and investigated its association with estimated glomerular filtration rate (eGFR) in primary glomerular diseases. This cross-sectional study prospectively enrolled 81 inpatients with biopsy-confirmed primary glomerular diseases under standardized hospital protocols. All spontaneous urine samples over 24-hours were collected. The presence of circadian rhythms in urinary excretion was validated by cosinor analysis. CRDI metrics were defined and developed to calculate protein, creatinine, and volume. Multivariable linear regression was used to examine the CRDI-eGFR relationship, adjusting for demographics, pathology, and medications. Clinical utility was assessed using ROC and decision curve analysis. Significant circadian rhythms were confirmed for all biomarkers. The CRDI for creatinine (CRDI_cr) demonstrated the strongest independent inverse association with eGFR after full adjustment (β = -4.45 mL/min/1.73m

Indexed as

Circadian RhythmGlomerulonephritis, IGAAdultBiomarkersBiopsyCreatinineCross-Sectional StudiesFemaleGlomerular Filtration RateHumansMaleMiddle AgedProspective StudiesROC CurveBiomarkersCreatininecircadian rhythmcross-sectional studiesglomerular filtration ratePrimary glomerular diseasesspot urine

Identifiers

PMID41968770
PMCPMC13072699

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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.