Progress and Challenges in Canada’s Path Toward the Elimination of Cervical Cancer
Bibliographic record
Abstract
Cervical cancer is almost entirely preventable and treatable when detected early, making its elimination within reach for Canada and the world. However, cervical cancer is now the fastest-increasing cancer (+3.7% per year since 2015) in Canada as of 2023, marking the first significant increase in cervical cancer incidence since 1984. The human papillomavirus (HPV) vaccine and cervical screening are key preventive measures, with targets set by the WHO and the Canadian Partnership Against Cancer (CPAC) to eliminate cervical cancer in Canada by 2030 and 2040, respectively. These targets include increasing HPV vaccination rates, implementing primary HPV screening, and improving follow-up for abnormal HPV+ results. However, Canada's progress has been impeded by significant challenges. As of the most recent data, HPV vaccine coverage rates in Canada range from 47% to 81%, with an estimated national HPV vaccination completion rate of 64% in Canada, far below the target of 90% by 2025 set by the CPAC. With the exception of British Columbia and Prince Edward Island, the adoption of HPV DNA testing as the primary screening method has been slow across the Canadian provinces and territories despite its superior sensitivity compared with traditional cytology. This article reviews the current state of HPV vaccination and screening in Canada, emphasizing the need for coordinated efforts, transparency, and resource sharing to overcome barriers. Key recommendations include the dissemination of accessible educational materials, partnerships, and collaboration, including nationwide task forces and roundtables, and the implementation of standardized guidelines for HPV screening. Achieving cervical cancer elimination requires a united approach involving federal, provincial, and territorial health authorities, researchers, clinicians, NGOs, community groups, and patients' voices working together to ensure consistent, effective, timely, and meaningful cervical cancer prevention strategies are used across the country.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".