REVEAL-CKD: PREVALENCE OF UNDIAGNOSED STAGE 3 CHRONIC KIDNEY DISEASE IN PATIENTS WITH DIAGNOSED HYPERTENSION IN CANADA
Bibliographic record
Abstract
Objective: Hypertension is a risk factor for and complication of chronic kidney disease (CKD), a progressive condition affecting 11.1% of the global population. Early recognition and diagnosis of CKD is crucial for effective management to slow disease progression and improve patient outcomes. This REVEAL-CKD study assessed the prevalence of, and factors associated with, undiagnosed stage 3 CKD in patients with hypertension. Design and method: REVEAL-CKD is an observational study using secondary data from electronic medical records (EMR) and claims data. Data were extracted from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN) database, that consists of primary care EMR data from approximately 1,500 general practice clinicians across eight provinces and one territory of Canada. The study cohort included patients aged at least 18 years with two consecutive estimated glomerular filtration rate (eGFR) values 30-59 mL/min/1.73m2 recorded 91-730 days apart between 2015-2021. The date of the second qualifying eGFR was the index date. Included patients were required to have hypertension diagnosis code before index. Patients with no CKD diagnosis code before and up to 6 months after index were considered undiagnosed. This study was granted approval by the CPCSSN data access committee (project number: 2022SRE147). Results: Of the 45,914 patients meeting the study inclusion criteria for stage 3 CKD, median age at index date was 77 years (interquartile range [IQR]: 69-84 years) and 19,597 (42.7%) were male. Of these patients, 32,192 (70.1%) also had an existing diagnosis of hypertension. Among patients meeting the criteria for stage 3 CKD and having a diagnosis of hypertension there were 30,523 patients, (94.8%) who did not have a recorded diagnosis of CKD up to 6 months after index. Of these patients, only one fifth was diagnosed with CKD after 4 years. Conclusions: A large proportion of patients in Canada with hypertension and stage 3 CKD do not have a recorded CKD diagnosis, and there is substantial diagnostic delay despite clinical evidence. This likely results in patients not receiving guideline-directed management to reduce the risk of disease progression and adverse clinical outcomes that could have been avoided by early detection of CKD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".