Prevalence ofChronic Kidney Disease and Associated Factors in Senegalese Populations: A Community-Based Study in Saint-Louis.
Bibliographic record
Abstract
BACKGROUND: Chronic kidney disease (CKD) is an emerging worldwide epidemic but littledata concerning African populations are available. OBJECTIVES: We aimed to assess prevalence of CKD in adult populations of Saint-Louis, northern Senegal. PATIENTS AND METHODS: In a population-based survey between January and May 2012, we included 1037 adults ≥ 18 years of age who resided in Saint-Louis. Socio-demographic, clinical, and biologic data were collected during household visits. Serum creatinine was measured by Jaffé method. We estimated glomerular filtration rate (eGFR) using the four-variable Modification of Diet in Renal Disease (MDRD) equation and CKD was defined by eGFR< 60 mL/min/1.73 m(2) and/or albuminuria > 1 g/L. A multivariate logistic regression was performed to identify factors associated with CKD. RESULTS: The mean of participants' age was 47.9 ± 16.9 years (range, 18-87) and sex ratio (male to female) was 0.52. Majority of participants lived in urban areas (55.3%) and had school education (65.6%). Hypertension, diabetes, and obesity were present respectively in 39.1%, 12.7%, and 23.4% of participants. Overall CKD prevalence was 4.9% (95% CI, 3.5-6.2) with eGFR< 30 mL/min/1.73 m(2) in 0.9%. Albuminuria > 1 g/L was found in 3.5% of patients. CKD was significantly more frequent among hypertensive patients in comparison with normotensive ones. Risk factors associated with CKD were hypertension (12% of risk excess) and age (3% of risk excess). CONCLUSIONS: CKD is frequent in adult population living in Northern Senegal. Main associated factors are hypertension and age. Prevention strategies are urgently needed to raise public awareness and promote early CKD detection and treatment in both urban and rural areas.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".