A prospective study of risk factors for first trimester miscarriage in Asian women with threatened miscarriage
Bibliographic record
Abstract
INTRODUCTION: The present study aimed to assess the demographic, socioeconomic, medical and lifestyle factors associated with the progression of a threatened miscarriage to a complete miscarriage in the first trimester. METHODS: A prospective cohort study was conducted on 157 women who presented with vaginal bleeding in the fifth to tenth week of gestation. Cox regression analysis was used to determine the risk factors for progression to a complete miscarriage within 16 weeks of gestation. RESULTS: Of the 139 women included for data analysis, 36 (25.9%) had a miscarriage, mostly within two weeks of presentation. The results of our study showed that women aged ≥ 34 years were more likely to miscarry (hazard ratio [HR] = 1.95). Compared to women whose partner was 20-30 years of age, women whose partner was ≥ 41 years of age also had a higher likelihood of experiencing a miscarriage (HR = 8.33). However, the presence of nausea (HR = 0.33) and a high stress score (i.e. ≥ 17) on the Perceived Stress Scale (HR = 0.49) were associated with a reduced likelihood of miscarriage. CONCLUSION: Older pregnant women experiencing a threatened miscarriage should be counselled about their higher risk of miscarriage, especially if they have an older partner.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| 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 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".