Pregnancy Outcome in Inflammatory Arthropathies — Are Population Database Studies the Right Tool?
Bibliographic record
Abstract
Rheumatoid arthritis (RA), psoriatic arthritis (PsA), and ankylosing spondylitis (AS) belong to the inflammatory arthropathies (IA) group. These diseases differ from one another in their underlying mechanisms, clinical phenotype, extraarticular manifestations, and in the ways they are treated. Accordingly, they are classified into different groups, such as RA versus spondyloarthropathies (SpA) including PsA and AS1,2. However, despite these differences, IA share a similar period of onset, during the third to the sixth decades of life3,4,5. Accordingly, many female patients with IA are in their childbearing years and the interplay between the inflammatory arthritic disease and pregnancy is a matter of concern. To date, most of the information in this field derives from studies conducted in patients with RA, and unfortunately the gestational data regarding those who have other types of IA are scarce6,7,8. In the current issue of The Journal , Keeling, et al 9 addressed a very important topic of pregnancy course and outcome among patients with IA by comparing patients with RA, SpA, and healthy controls (HC) using population-based administrative data from Alberta, Canada. The study results showed that patients with RA were at higher risk than patients with SpA and HC of experiencing hypertensive disorder during pregnancy, preterm deliveries, and cesarean deliveries. They were also more likely to give birth to small for gestational age (SGA) babies, and to deliver babies with lower birth weight compared to patients with SpA and to HC. Further multivariate analyses confirmed the association with hypertensive disorder and SGA. These findings are in line with several previous studies in patients with RA that showed similar pregnancy outcomes6,7,8. The main contribution of this study is the gestational information about pregnancy outcomes … Address correspondence to Dr. A. Polachek, Department of Rheumatology, Sourasky Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, 6 Wizeman St., Tel Aviv 64239, Israel. E-mail: arikpolachek{at}yahoo.com
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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 | 0.050 | 0.176 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.006 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| 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".