The Unintended Consequences of Cervical Screening
Bibliographic record
Abstract
OBJECTIVE: It is well known that receipt of an initial abnormal cervical cytology test can trigger considerable anxiety among women. Less is known about the impact of follow-up by repeat cytology tests. We quantified prevalence, and identified predictors, of distress after repeat cytologic testing in women with a single low-grade test. METHODS: Within the framework of the TOMBOLA randomized controlled trial of alternative managements, 844 women aged 20 to 59 years with a single routine cytology test showing borderline nuclear abnormalities (BNA; broadly equivalent to atypical squamous cells of undetermined significance) were assigned to follow-up by repeat cytology in primary care (the first test was due 6 months after the initial BNA result). Women completed sociodemographic and psychosocial questionnaires at recruitment and the Impact of Event Scale (IES) 6 weeks after their first follow-up cytology test. Factors associated with significant psychologic distress (IES ≥ 9) were identified using logistic regression. RESULTS: The response rate was 74% (n = 621/844). Of all the respondents, 39% scored in the range for significant distress. Distress varied by follow-up cytology result: negative, 36%; BNA or mild dyskaryosis, 42%; other (including high grade and inadequate), 55%. After adjusting for the cytology result, risk of distress was significantly raised in women who had significant anxiety at recruitment, reported experiencing pain after the follow-up cytology, had children, or were dissatisfied with support they had received after their initial BNA test. CONCLUSIONS: Substantial proportions of women experience surveillance-related psychologic distress after a follow-up cytology test, even when the result is negative. This is an important, albeit unintended, consequence of cervical screening. Strategies to alleviate this distress merit attention.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".