New Cervical Cancer Screening Guidelines on Both Sides of the Atlantic
Bibliographic record
Abstract
Large population-based trials showed that the human papillomavirus (HPV) DNA test can be even more effective than Pap tests in preventing cervical cancer. Nevertheless, there are still many questions on how to implement HPV testing in screening, and particularly how to manage its lower specificity. In this paper, we compare the recommendations concerning the cervical cancer screening tools proposed by the most influential agencies and scientific societies in the last 3 years. We included six documents that evaluated the use of HPV DNA tests and formulated recommendations: the U.S. Preventive Services Task Force (USPSTF) systematic review and recommendations, the multi-societal USA, Canadian Task Force on Preventive Health Care (CTFPHC), the Dutch Health Council recommendations, and the Italian Health Technology Assessment report. The USPSTF review and the Canadian document concluded that there is no sufficient evidence to recommend HPV as a primary screening test, while the others conclude that HPV tests can be used as the primary screening test in patients starting from 30 years of age. The interval after a negative HPV test is 5 years for all the documents except the Dutch (5-10 year interval). The only relevant difference between recommendations is the role of cytology: co-testing in the USA, triage in Europe. The new European and USA guidelines on cervical cancer screening represent a further step towards protocol harmonisation, even if there are still some differences. This harmonisation was achieved through an evidence-based approach to the introduction of HPV as a primary test and through a general reduction of the intensity of screening protocols.
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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 | 0.031 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".