Epidemiology and costs associated with genital warts in Canada
Bibliographic record
Abstract
BACKGROUND: Genital warts (condyloma acuminatum) remain one of the most commonly reported sexually transmitted infections (STI) worldwide. Most genital warts are caused by non-oncogenic human papilloma virus. Recurrence is common and many patients receive several rounds of treatment. There are limited data in the literature on the burden of illness and costs associated with genital warts at a population level. METHODS: Episodes of anogenital warts (AGW) were identified from the physician billing database, hospitalisation records and STI clinics from 1998 to 2006. To be included from the physician billing and STI databases, the person had to have a claim that had a diagnosis of condyloma acuminatum (078.11), viral warts (078.1), viral warts unspecified (078.10) or other unspecified warts (078.19), as well as one of the relevant fee codes associated with the treatment of AGW. To be included from the hospital database, the person could be of any age and have a diagnosis of AGW (A63.0), condyloma acuminatum (078.11), viral warts (078.1 or B07), viral warts unspecified (078.10) or other unspecified warts (078.19) in any of the diagnosis fields, as well as one of the relevant procedure codes associated with the treatment of AGW. RESULTS: A total of 39,493 people was diagnosed with AGW and during this period they had a total of 43,586 episodes. The average cost per episode of AGW was $C190 ($C176 for men; $C207 for women). The majority of treatment was with ablative therapy alone (98%). CONCLUSIONS: AGW are associated with a significant burden of illness and costs to the healthcare system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".