Interstitial cystitis/painful bladder syndrome: the influence of modern diagnostic criteria on epidemiology and on Internet search activity by the public.
Bibliographic record
Abstract
Interstitial cystitis/painful bladder syndrome (IC/PBS) is a chronic debilitating condition that is characterised by suprapubic pain and urinary symptoms such as urgency, nocturia and urinary frequency. The prevalence of the condition is increasing due to more inclusive diagnostic criteria. Herein, we review the evolving epidemiology of IC/PBS and investigate health seeking behaviour for the condition through Internet search activity. Study selection was performed in accordance with PRISMA. In addition, global search trends for the terms 'Interstitial Cystitis' and 'Painful Bladder Syndrome' from 2005 to 2015 were also evaluated using the 'Google Trends' search application. The mean search activity per month was recorded and mean activity at annual intervals calculated. Regional search activity by country and city was also measured. Prevalence rates for IC/PBS vary according to diagnostic criteria and range from 2% to 17.3% among the general population. Increased prevalence is associated with female gender and females with one first-degree relative affected. There has been an increase in global mean search activity for IC/PBS on an annual basis since 2005. The greatest increase in search activity was in USA, Canada, United Kingdom, Australia, Ireland and India respectively. The top five cities for search activity for IC/PBS were in the USA. As diagnostic criteria for IC/PBS continues to become more inclusive it is likely that the prevalence will continue to increase. This is particularly true for the USA and Canada as these regions have demonstrated the greatest increase in Internet search activity for IC/ PBS.
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".