Are Patients with Inflammatory Bowel Disease on Chronic Immunosuppressive Therapy at Increased Risk of Cervical High-grade Dysplasia/Cancer? A Meta-analysis
Bibliographic record
Abstract
BACKGROUND: Immunosuppression is a mainstay of therapy for both induction and maintenance of remission for inflammatory bowel disease (IBD). Women who are chronically immunosuppressed have been shown to be at higher risk of developing cervical high-grade dysplasia and/or carcinoma. There is contradictory data whether immunosuppressed patients with IBD have the same risk profile for cervical cancer as patients with solid organ transplant or HIV infection. OBJECTIVE: To determine whether the risk of cervical high-grade dysplasia and/or cancer is higher in patients with IBD on immunosuppressive therapy compared with the rates in the general population. METHODS: The studies were restricted to full-text retrospective cohort studies and case controls that had a high (6-9) Newcastle-Ottawa Score. RESULTS: All pooled analyses were based on a random-effects model. Five cohort studies and 3 case-control studies of patients with IBD on any immunosuppression with cervical high-grade dysplasia/cancer (n = 995) were included in the meta-analysis. The total IBD population in these studies was 77,116. Patients with IBD had an increased risk of cervical high-grade dysplasia/cancer compared with healthy controls (odds ratio = 1.34, 95% confidence interval: 1.23-1.46). Heterogeneity was detected (I = 34.23, Q = 10.64, df = 7; P = 0.15). The source was found to be the type of study, as well as the odds ratio presented (crude versus adjusted). CONCLUSIONS: There is sufficient evidence to suggest an increased risk of cervical high-grade dysplasia/cancer in patients with IBD on immunosuppressive medications compared with the general population. Given this increased risk, increased screening intervals are indicated.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".