Findings and Implications of the REVEAL-CKD Study Investigating the Global Prevalence of Undiagnosed Stage G3 Chronic Kidney Disease
Bibliographic record
Abstract
Chronic kidney disease (CKD) is a progressive condition that can lead to kidney failure and the requirement for renal dialysis or transplantation. Early-stage CKD is often missed because the disorder is initially asymptomatic; hence, many patients with CKD already have symptomatic advanced disease (Stages G4–G5) at the time of diagnosis. This is an important issue because the drugs available for the treatment of CKD are most effective when given during the early stages of the disease (Stages G1–G3). EMJ conducted interviews in July 2022 with two key opinion leaders, Navdeep Tangri from the University of Manitoba, Winnipeg, Canada, and Luca De Nicola from the University of Campania Luigi Vanvitell, Naples, Italy, both of whom have a wealth of experience in the management of patients with CKD. The experts provided important insights into the ongoing REVEAL-CKD study, which was designed to explore the global prevalence of undiagnosed Stage G3 CKD. This article describes the main findings of the REVEAL-CKD study published to date and their implications. Possible approaches to improving the diagnosis of CKD are also discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".