Awareness of chronic kidney disease and its risk factors in the former Soviet Union countries
Bibliographic record
Abstract
<b>Purpose:</b> Assessment of public knowledge of chronic kidney disease (CKD) is an essential step in<b> </b>development of CKD prevention and screening programs. Our aim was to estimate the level of public CKD knowledge and its predictors in the former Soviet Union countries using a validated questionnaire.<br /> <b>Materials and methods: </b>This cross-sectional survey was conducted in 10 countries using an adapted validated online questionnaire. Descriptive statistics were used to describe participants’ characteristics and assess public CKD knowledge level. A multiple linear regression analysis was performed to identify predictors of CKD knowledge.<br /> <b>Results: </b>2,715 participants satisfied the inclusion criteria. Respondents having higher level of education, living in countries belonging to the lower middle-income countries, having a personal history of diabetes and hypertension, and having a family history of kidney disease showed significantly better CKD knowledge.<br /> <b>Conclusions:</b> The level of CKD knowledge among the population of post-Soviet states was found to be low, although some personal characteristics were associated with better CKD knowledge.
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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 | 0.000 |
| 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 | 0.000 |
| 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".