Pregnancy outcome following rubella vaccination: A prospective controlled study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The rubella virus is a potent human teratogen. Because the rubella vaccine is prepared with live virus, a high level of anxiety surrounds exposure in pregnancy. There is relatively scarce data on fetal risk following vaccination in pregnancy, and all of the available data were collected retrospectively. Our objective was to examine whether periconceptional exposure to rubella vaccine can cause the congenital rubella syndrome, and to compare the rate of major malformations and developmental milestones among offspring of women who received rubella vaccine 3 months pre- or post-conception to an unexposed comparison group. We collected prospectively and followed up 94 women who received rubella vaccination 3 months pre- or post-conception and a comparison group that consisted of 94 women who were counseled during pregnancy in a similar manner but were not exposed to known teratogens. The controls were matched for age, smoking, alcohol, and drug use. Not any of the women exposed to the vaccine gave birth to a child with congenital rubella syndrome. Rates of major malformations were similar in both groups as were birth weights and developmental milestones. In contrast, the rate of therapeutic abortions was higher in the exposed group (7.4% vs. 0%) (P < 0.05), due to fears of teratogenicity. We conclude that rubella vaccination in pregnancy does not appear to affect pregnancy outcome in general or cause congenital rubella syndrome in particular.
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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 | 0.001 | 0.001 |
| 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 it