Trial reportThe lancet. Diabetes & endocrinology2020
Early detection of diabetic kidney disease by urinary proteomics and subsequent intervention with spironolactone to delay progression (PRIORITY): a prospective observational study and embedded randomised placebo-controlled trial.
Trial report in The lancet. Diabetes & endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 149 papers, 8 of them syntheses that pooled it.
What it found
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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.
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.
Proteomic Prediction and Renin Angiotensin Aldosterone System Inhibition Prevention Of Early Diabetic nephRopathy In TYpe 2 Diabetic Patients With Normoalbuminuria
Studying Patterns in Patient Engagement and Participation in Diabetic Kidney Disease Clinical Trials
Who cites it
149 citing papers in PubMed, 8 syntheses or guidelines pooled it, 249 citations in OpenAlex.
- Association and predictive value of the visceral adiposity index in diabetic kidney disease: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Investigating the efficacy of mineralocorticoid receptor antagonists for cardiovascular outcomes in different diseases.ESC heart failure · 2025Pooled it
- Efficacy and incidence of complications of hemodialysis in the treatment of diabetic nephropathy: a systematic review and meta-analysis.Systematic reviews · 2025Pooled it
- The current use of proteomics and metabolomics in glomerulonephritis: a systematic literature review.Journal of nephrology · 2024Pooled it
- Recent Advances in Urinary Peptide and Proteomic Biomarkers in Chronic Kidney Disease: A Systematic Review.International journal of molecular sciences · 2023Pooled it
- Evaluation of Machine Learning Methods Developed for Prediction of Diabetes Complications: A Systematic Review.Journal of diabetes science and technology · 2023Pooled it
- Urinary Proteomics Identifies Cathepsin D as a Biomarker of Rapid eGFR Decline in Type 1 Diabetes.Diabetes care · 2022Pooled it
- [Early detection by urinary proteome analysis : A new concept in patient management of diabetic nephropathy].Der Internist · 2020Pooled it
- Urinary proteomics combined with home blood pressure telemonitoring for health care reform trial-First progress report.Journal of clinical hypertension (Greenwich, Conn.) · 2023Trial
- No evidence of differential impact of sunflower and rapeseed oil on biomarkers of coronary artery disease or chronic kidney disease in healthy adults with overweight and obesity: result from a randomised control trial.European journal of nutrition · 2022Trial
- Metabolic reprogramming in diabetic panvascular disease: Molecular mechanism and therapeutic strategies.iScience · 2026Review
- Urinary collagen type I degradation products as common fibrosis biomarkers in chronic diseases.Molecular medicine (Cambridge, Mass.) · 2026Article
- Peptidomic Profiling Reveals Extracellular Matrix Remodeling Signatures Discriminative of Multiple Myeloma.Proteomics · 2026Article
- Multi-omics-driven precision medicine.iMeta · 2026Review
- The therapeutic approach to cardiovascular-kidney-metabolic syndrome.Nature reviews. Nephrology · 2026Review
- Mogroside V Alleviates Renal Injury in Diabetic Mice via Regulation of theInternational journal of molecular sciences · 2026Article
- Biomarkers in Diabetic Kidney Disease: Early Detection, Prognostic Assessment, and Integration with Multi-Omics Signatures.Life (Basel, Switzerland) · 2026Review
- Urinary Collagen Peptides Predict Mortality.Proteomics · 2026Article
- Prenatal body fluid analysis in the evaluation of CAKUT.Pediatric nephrology (Berlin, Germany) · 2026Article
- A Five-Plasma Protein-Based Algorithm for Predicting Incident CKD in Type 2 Diabetes.Journal of the American Society of Nephrology : JASN · 2026Article
89 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
37 authors at 20 institutions in 11 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMicroalbuminuria is an early sign of kidney disease in people with diabetes and indicates increased risk of cardiovascular disease. We tested whether a urinary proteomic risk classifier (CKD273) score was associated with development of microalbuminuria and whether progression to microalbuminuria could be prevented with the mineralocorticoid receptor antagonist spironolactone.
methodsIn this multicentre, prospective, observational study with embedded randomised controlled trial (PRIORITY), we recruited people with type 2 diabetes, normal urinary albumin excretion, and preserved renal function from 15 specialist centres in ten European countries. All participants (observational cohort) were tested with the CKD273 classifier and classified as high risk (CKD273 classifier score >0·154) or low risk (≤0·154). Participants who were classified as high risk were entered into a randomised controlled trial and randomly assigned (1:1), by use of an interactive web-response system, to receive spironolactone 25 mg once daily or matched placebo (trial cohort). The primary endpoint was development of confirmed microalbuminuria in all individuals with available data (observational cohort). Secondary endpoints included reduction in incidence of microalbuminuria with spironolactone (trial cohort, intention-to-treat population) and association between CKD273 risk score and measures of impaired renal function based on estimated glomerular filtration rate (eGFR; observational cohort). Adverse events (particularly gynaecomastia and hyperkalaemia) and serious adverse events were recorded for the intention-to-treat population (trial cohort). This study is registered with the EU Clinical Trials Register (EudraCT 20120-004523-4) and ClinicalTrials.gov (NCT02040441) and is completed.
findingsBetween March 25, 2014, and Sept 30, 2018, we enrolled and followed-up 1775 participants (observational cohort), 1559 (88%) of 1775 participants had a low-risk urinary proteomic pattern and 216 (12%) had a high-risk pattern, of whom 209 were included in the trial cohort and assigned to spironolactone (n=102) or placebo (n=107). The overall median follow-up time was 2·51 years (IQR 2·0-3·0). Progression to microalbuminuria was seen in 61 (28%) of 216 high-risk participants and 139 (9%) of 1559 low-risk participants (hazard ratio [HR] 2·48, 95% CI 1·80-3·42; p<0·0001, after adjustment for baseline variables of age, sex, HbA
interpretationIn people with type 2 diabetes and normoalbuminuria, a high-risk score from the urinary proteomic classifier CKD273 was associated with an increased risk of progression to microalbuminuria over a median of 2·5 years, independent of clinical characteristics. However, spironolactone did not prevent progression to microalbuminuria in high-risk patients.
fundingEuropean Union Seventh Framework Programme.
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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.