Screening for kidney disease on World Kidney Day in Jalisco, Mexico
Bibliographic record
Abstract
Abstract Background: In 2006, the International Society of Nephrology (ISN) and the International Federation of Kidney Foundations (IFKF) introduced World Kidney Day, to educate the public about the importance of chronic kidney disease (CKD) and its early detection. This prospective study examined the diagnostic yield of screening for CKD in poor neighborhoods in Guadalajara, Mexico, on World Kidney Day. Methods: On World Kidney Day in 2006 and 2007, 2 screen ing stations were set up in Guadalajara, with a 2-week promotion period beforehand in the local media. Individuals who were aware that they had CKD and those <18 years of age were excluded. Data were prospectively collected by the staff of the screening programs using a standard form; all participants provided blood and urine specimens for serum creatinine assays and dipstick urinalysis. Results: We studied 634 participants, of whom approximately 24% had proteinuria, 35% had hematuria and 6.4% had an estimated glomerular filtration rate (eGFR) <60 ml/min per 1.73 m2. Overall, the number needed to screen (NNS) to detect 1 new case of eGFR <60 ml/min per 1.73 m2 was 16 (95% confidence interval [95% CI], 12-22), varying from as low as 5 (95% CI, 4-8) in participants >60 years of age, to as high as 84 (95% CI, 35 to >200) in people aged 18 to 40 years. Conclusions: Proteinuria and eGFR <60 ml/min per 1.73 m2 were frequently detected among participants in community-based screening carried out on World Kidney Day in the state of Jalisco, Mexico, especially in people over 40 years old. Our data indicate that screening on World Kidney Day may be useful for identifying Jalisco residents with CKD, and suggest that trials of targeted screening and intervention are feasible and warranted.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".