Maternal rheumatoid arthritis during pregnancy and neurodevelopmental disorders in offspring: a systematic review
Bibliographic record
Abstract
Objective: To summarize the available literature on in utero exposure to maternal rheumatoid arthritis (RA) and its influence on the risk of neurodevelopmental disorders (NDDs) in offspring. Method: We conducted a systematic literature review and assessed the internal validity of studies with the Newcastle Ottawa Scale tool. Results: Six studies were included. Three reported on autism spectrum disorders; one cohort study indicated a slightly elevated risk, and two case–control studies reported too few cases for risk assessment. Two large cohort studies reported elevated hazard ratios for epilepsy in offspring, in overlapping populations. One study on attention deficit hyperactivity disorder (ADHD) reported higher odds for maternal RA during pregnancy, among children with ADHD. Conclusion:Few studies were found specifically studying maternal RA during pregnancy and NDDs in offspring. The studies pointed towards a moderately higher risk of these outcomes; however, reporting bias appears to be a problem. Additional studies of appropriate design and power are needed.
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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 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".