Prevalence estimates for lower urinary tract symptom severity among men in Uganda and sub-Saharan Africa based on regional prevalence data
Bibliographic record
Abstract
INTRODUCTION: In the absence of specific regional data, the prevalence of urinary symptoms in the developing world is currently estimated. Regional prevalence data and estimates based on them have relevance for accurate planning/provision of future healthcare. We sought to extrapolate prevalence estimates for lower urinary tract symptom (LUTS) severity and associated sexual dysfunction for Uganda as a whole and sub-Saharan Africa (SSA) using newly available regional data from a community-based cohort of men in Uganda. METHODS: Global Burden of Disease Study (GBDS) population statistics were applied to a regional dataset to provide prevalence estimates for Uganda and SSA; 415 men >55 years from five rural Ugandan communities had completed the International Prostate Symptom Scale (IPSS) and Epstein inventory to grade their LUTS severity and satisfaction with sexual function. RESULTS: Prevalence rates for moderate and severe LUTS were 40.5% and 20%, respectively, in men >55 in the Ugandan regional data; associated scores for all four Epstein sexual satisfaction measures were low. GBDS population figures (2016) for men >55 years are 942 115 (Uganda) and 33.9 million (SSA); hence, scaling up from regional prevalence data suggests 381 557 and 188 423 men >55 years in Uganda, and 13 729 500 and 6 780 000 in SSA have moderate and severe LUTS, respectively, and the majority will have compromise of elements of their sexual function. CONCLUSIONS: Extrapolation from a small regional dataset (for which we have no guarantee of national or SSA representability) provides the first prevalence estimates for LUTS severity based on African data, and suggests a large proportion of men >55 years are troubled with LUTS and associated sexual dysfunction.
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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 | 0.002 | 0.001 |
| 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 | 0.001 |
| 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".