The See Kidney Disease Targeted Screening Program for CKD
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: The effectiveness of targeted screening for identification of CKD is largely unknown. The See Kidney Disease (SeeKD) targeted screening project aimed to determine the prevalence of unrecognized CKD in Canada. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: The SeeKD project was conducted across Canada using a convenience sample approach and events to identify adults with risk factors for CKD (i.e., diabetes, hypertension, vascular disease, family history of kidney problems, etc.). Participants with at least one risk factor received a point-of-care creatinine measurement to identify unrecognized CKD (CKD-Epidemiology Collaboration eGFR <60 ml/min per 1.73 m(2)). Baseline information included clinical characteristics, sociodemographics, and health knowledge. Semistructured telephone interviews were conducted with each Kidney Foundation of Canada branch (regionalized locations) after the screening events to characterize local screening strategies, which were subsequently categorized as individual-targeted (specifically targeting individuals at risk of CKD) and community-targeted (event in a community location in proximity to a high-risk population). We calculated the prevalence of unrecognized CKD overall, and by screening strategy. RESULTS: Between January 2011 and February 2014, 6329 Canadians participated in SeeKD screening events. Participants were predominantly female (65.3%), middle-aged (mean, 58.5 years), and the majority (88.9%) self-reported at least one risk factor for CKD. Of participants with at least one risk factor, 92.3% (n=5194) were screened, of whom 18.8% (95% confidence interval [95% CI], 17.8 to 19.9) had unrecognized CKD; the majority (13.8%) had stage 3a CKD (eGFR=45-60 ml/min per 1.73 m(2)). The prevalence of unrecognized CKD was higher for branches with individual versus community-targeted events (21.9% [95% CI, 20.5 to 23.4] versus 14.7% [95% CI, 13.2 to 16.2]). CONCLUSIONS: Targeted screening identified a high proportion of individuals with risk factors for CKD and a high prevalence of unrecognized CKD. Future research will evaluate the ability of targeted screening to promote self-management behaviors addressing priorities for people with 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 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".