A clinical care pathway for managing pregnancy in patients with inflammatory arthritis
Bibliographic record
Abstract
Inflammatory arthritis (IA) disproportionately affects women and is particularly concerning in those of childbearing age, where unique considerations are required in their management. Existing practice guidelines provide recommendations on managing IA before, during, and after pregnancy. However, there is a lack of Canadian clinical resources to support shared decision-making between clinicians and patients with IA. A comprehensive care plan for women of childbearing age with IA should include preconception counselling, a 40-week pregnancy plan, and postpartum care. Preconception counselling should address contraception to reduce the risk of unplanned pregnancy, as well as the bidirectional impact of disease on pregnancy outcomes. The 40-week pregnancy plan includes monitoring disease activity, assessing medication safety, and planning delivery. The postpartum care plan should emphasize medication management, particularly in the context of breastfeeding and vaccinations for infants exposed to biologic medications in utero. The goal of this clinical care pathway is to provide a resource for managing patients with IA who are contemplating pregnancy, are pregnant, or are in the postpartum period. Key Points • Managing women of childbearing age with inflammatory arthritis (IA) requires a unique set of considerations. • There is a lack of Canadian clinical resources to guide the management of women of childbearing age with IA. • This clinical care pathway is intended as a resource for multidisciplinary teams managing patients with IA who are contemplating pregnancy, are pregnant, or are in the postpartum period. • The proposed care pathway includes preconception counselling, a 40-week pregnancy plan, and postpartum care for women of childbearing age with IA.
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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 | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.062 | 0.013 |
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".