SARS-CoV-2 Vaccination and Disorders of Menstruation: A Population-Based Cohort Study
Bibliographic record
Abstract
This population-based study evaluated the association between SARS-CoV-2 vaccination and disorders of menstruation among all women in Ontario aged 18-44 years. Study exposure was receipt of a first dose of any SARS-CoV-2 vaccine from December 2021 to December 2022, handled in a time-varying manner. The outcome was an incident diagnosis of a disorder of menstruation, defined as 2 medical encounters billed as International Classification of Diseases, Ninth Revision diagnosis code 626 up to December 2023. Included were 2 114 589 women, of whom 44.7% were vaccinated against SARS-CoV-2. Disorders of menstruation occurred at a rate of 15.9 per 1000 person-years among vaccinated women, in contrast to a rate of 26.4 per 1000 person-years among unvaccinated women (adjusted rate ratio 0.60; 95% CI 0.59-0.60), supporting a lack of association between SARS-CoV-2 vaccination and an increased risk of disorders of menstruation.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".