ArticleKidney international2021
Rationale and design of the Kidney Precision Medicine Project.
Article in Kidney international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04334707 (Kidney Precision Medicine Project), which is not on this map. Cited by 104 papers, 3 of them syntheses that pooled 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.
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.
Kidney Precision Medicine Project
Who cites it
104 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Mass spectrometry-based human spatial omics: fundamentals, innovations, and applications.Journal of biomedical science · 2026Pooled it
- Urinary Proteomics Identifies Cathepsin D as a Biomarker of Rapid eGFR Decline in Type 1 Diabetes.Diabetes care · 2022Pooled it
- Genetics in chronic kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference.Kidney international · 2022Guideline
- Mitochondria-related pathogenic genes in acute and chronic kidney disease: a Mendelian randomization study.Renal failure · 2026Article
- Kidney research at an inflection point: why the next decade must be different.Nature reviews. Nephrology · 2026Article
- Next-generation kidney tissue analysis - spatial omics and digital pathology.Nature reviews. Nephrology · 2026Review
- Acute tubular injury versus acute interstitial nephritis in the kidney precision medicine project.JCI insight · 2026Observational
- Not all reference samples are equal in single-cell transcriptomics of human kidney tissue.JCI insight · 2026Article
- PathwayBench: a multi-criterion benchmark of pseudobulk pathway activity scoring methods reveals rank-window competition as a mechanism of biological signal loss in single-cell RNA-seq.Research square · 2026Article
- Multi-task spatial distillation reveals cell-type-resolved programmed cell death landscapes in the human kidney.Briefings in bioinformatics · 2026Article
- Renal Involvement in Pediatric Small-Vessel Vasculitis: A Comprehensive Review of Clinical Impact, Diagnosis, and Management.Medical sciences (Basel, Switzerland) · 2026Review
- Toward Physiologically Relevant Organoid Models of Polycystic Kidney Disease through Microenvironment Reconstruction.Journal of the American Society of Nephrology : JASN · 2026Review
- Deciphering the Impact of RAC1-SPTAN1 in ARPKD Cystogenesis Using Multifaceted Models.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Shared multicellular injury programs of acute and chronic kidney disease enable mechanistic patient stratification.medRxiv : the preprint server for health sciences · 2026Article
- The global epidemiology of acute kidney injury: challenges and opportunities.Nature reviews. Nephrology · 2026Review
- StainStyleSampler: clustering-based sampling of whole slide image appearances.Diagnostic pathology · 2026Article
- Review
- Case Series of Histopathological Findings in Chronic Kidney Disease: Insights From the Kidney Precision Medicine Project.Kidney medicine · 2026Article
- Integrated Transcriptomic Analysis Identifies TAP1 as a Key Regulator of PANoptosis in Diabetic Kidney Disease Tubular Injury.Inflammation · 2026Article
- SEA CDM: Study-Experiment-Assay Common Data Model and Databases for Cross-Domain Data Integration and Analysis.Scientific data · 2026Article
44 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
51 authors.
Funding
Abstract
Chronic kidney disease (CKD) and acute kidney injury (AKI) are common, heterogeneous, and morbid diseases. Mechanistic characterization of CKD and AKI in patients may facilitate a precision-medicine approach to prevention, diagnosis, and treatment. The Kidney Precision Medicine Project aims to ethically and safely obtain kidney biopsies from participants with CKD or AKI, create a reference kidney atlas, and characterize disease subgroups to stratify patients based on molecular features of disease, clinical characteristics, and associated outcomes. An additional aim is to identify critical cells, pathways, and targets for novel therapies and preventive strategies. This project is a multicenter prospective cohort study of adults with CKD or AKI who undergo a protocol kidney biopsy for research purposes. This investigation focuses on kidney diseases that are most prevalent and therefore substantially burden the public health, including CKD attributed to diabetes or hypertension and AKI attributed to ischemic and toxic injuries. Reference kidney tissues (for example, living-donor kidney biopsies) will also be evaluated. Traditional and digital pathology will be combined with transcriptomic, proteomic, and metabolomic analysis of the kidney tissue as well as deep clinical phenotyping for supervised and unsupervised subgroup analysis and systems biology analysis. Participants will be followed prospectively for 10 years to ascertain clinical outcomes. Cell types, locations, and functions will be characterized in health and disease in an open, searchable, online kidney tissue atlas. All data from the Kidney Precision Medicine Project will be made readily available for broad use by scientists, clinicians, and patients.
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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.