Reports of abnormal cervical cancer screening tests in systemic sclerosis
Bibliographic record
Abstract
OBJECTIVE: To assess the prevalence of abnormal cervical cancer screening (Pap tests) reported by women with SSc onset before the age of 50 yrs. METHODS: Female members of a Canadian multi-centre SSc cohort completed standardized assessments and were questioned regarding a history of an abnormal Pap test. Potential correlates examined included demographics, reproductive history, smoking, diffuse vs limited SSc type, immunosuppressant exposure and SSc duration. RESULTS: In the 320 women with SSc onset before the age of 50 yrs, the life-time prevalence of an abnormal Pap test (according to self-report) was 25.4% (95% CI CI 20.9, 30.4%). By comparison, self-reported prevalence of abnormal Pap tests among general population Canadian females was recently reported at 13.8% (95% CI 11.6, 16.4%). Women with diffuse SSc (n = 142), tended to have a higher prevalence of self-reported cervical dysplasia (31.7%) compared with those with limited disease (20.7%), but the CIs overlapped. A multivariate logistic regression found a significant positive association between self-reported abnormal Pap test and diffuse disease [odds ratio (OR) 1.87; 95% CI 1.01, 3.47]. An independent association of an abnormal Pap test with smoking (OR 2.43; 95% CI 1.23, 4.78) and with younger age at disease onset was also noted. CONCLUSIONS: We noted a high prevalence of abnormal Pap tests self-reported in our sample. Increased risk was seen among those with diffuse SSc, and also among smokers and those with a younger age at disease onset. Thus, it seems prudent to ensure that adequate attention is paid to cervical cancer screening for women with SSc.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".