Evolution and future of cervical cancer screening: from cytology to primary HPV testing and the impact of vaccination
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: Cervical cancer remains a significant global health challenge despite decades of progress in screening and prevention. Global cervical cancer screening practices vary substantially, with many countries still relying on cytology-based methods, despite evidence supporting the superior performance of human papillomavirus (HPV)-based screening. AREAS COVERED: This review explores the historical evolution as well as current landscape and policies of cervical cancer screening, with a focus on Western countries. We discuss the gradual transition from cytology to HPV DNA testing as the primary screening method, while recognizing the continuing role of cytology as a triage method. We also argue that HPV vaccination will have a transformative impact on screening practices, necessitating the need for adapting screening strategies to a post-vaccination world. EXPERT OPINION: The role of cytology in cervical cancer screening will become increasingly limited due to its diminished effectiveness post-HPV vaccination, as many abnormal cytology results will likely be false positives. This could lead to unnecessary procedures, underscoring the need for adjustments in screening strategies and HPV testing to align with the fact that cervical precancerous lesions will become exceedingly rare.
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.
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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it