Missed connections: Unintended consequences of updated cervical cancer screening guidelines on screening rates for sexually transmitted infections.
Bibliographic record
Abstract
OBJECTIVE: To examine the effects of the updated 2012 cervical cancer screening guidelines on the rates of sexually transmitted infection (STI) screening in primary care. DESIGN: Retrospective chart review. SETTING: Five academic family practice units at St Michael's Hospital in Toronto, Ont. PARTICIPANTS: Female patients, aged 19 to 25, who had at least 1 visit with a physician at 1 of the 5 academic family practice units during a 12-month period before (May 1, 2011, to April 30, 2012) or after (November 1, 2012, to October 31, 2013) the release of the updated guidelines. MAIN OUTCOME MEASURES: Number of women who received Papanicolaou tests or underwent STI screening; rates of STI screening performed during a Pap test or a periodic health examination; screening rates for HIV, syphilis, and hepatitis C; and the methods used for STI screening before and after the release of the updated guidelines. Results Before the release of the 2012 guidelines, 42 of 100 women had Pap tests and 40 of 100 women underwent STI screening. After the release of the guidelines, 17 of 100 women had Pap tests and 20 of 100 women received STI screening. Female patients were less likely to undergo STI screening under the 2012 guidelines compared with the 2005 guidelines (odds ratio 0.38, 95% CI 0.19 to 0.74; P = .003). CONCLUSION: Implementation of the 2012 cervical cancer screening guidelines was associated with lower rates of STI screening in the primary care setting. Primary care physicians should screen at-risk women for STIs at any clinically appropriate encounter and consider using noninvasive self-sampling methods.
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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 | 0.009 | 0.119 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".