Characteristics of the Incidence and Prevalence of Chronic Cystitis Among the Male Population in Ukraine
Bibliographic record
Abstract
The work is devoted to the dynamics of morbidity and prevalence of chronic cystitis among the male population of Ukraine for 10 years (2008–2017). The primary documents were the reported forms of official statistics. The special feature of the study was a comparative analysis of two periods of five-years. The approach was justified by the possibility to trace the nature and intensity of changes, and was also of interest in terms of known territorial changes in the country. It was found that among the total number of registered as well as first-time patients with chronic cystitis in Ukraine, a quarter of them were men. Over the years there has been a decrease in the number of cases. At the same time its rate among the latter is lower than among those registered, which is more pronounced in the last five years. This finding may suggest that the situation is likely to change in the near future towards an increase in the number of cases among men. The first three places in the number of men with chronic cystitis are occupied by the Southeastern, Western, Southern regions. The incidence and prevalence rates (per 100,000) among men are half as high as the corresponding rates among the adult population as a whole. The values of the latter have been decreasing over the years, while the incidence rate increased between 2013 and 2017. Each region has its own peculiarities, which are manifested both by the levels of width in the regions which make up their structure and by the nature of their dynamics. The first identified men with CC usually accounted for one quarter of the total number of cases. Each region is distinguished by the number of first-time offenders. The situation in Ukraine is defined by the Southeastern, Southern regions and Kiev, where the rates are higher than the Ukrainian average and aer increasing.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".