Effect of paternal health on pregnancy loss—A review of current evidence
Why this work is in the frame
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Bibliographic record
Abstract
Pregnancy loss has multifactorial causes, and the maternal risk factors are the most investigated. Therefore, this review investigates the current literature regarding the effect of paternal health on pregnancy loss. This review is conducted according to the PRISMA guidelines. The electronic databases PubMed and Medline were the primary sources of information. The online tool covidence.org was used for the screening process. The Newcastle-Ottawa Scale was used for assessment of risk of bias across the non-RCT (Randomized Controlled Trials) included studies. Six cohort studies and one randomised clinical trial were included for assessment in this review. Especially three large retrospective studies reported that circulatory paternal health issue, increasing metabolic syndrome diagnoses and paternal age was significantly associated with a higher risk of pregnancy loss. Lower pregnancy loss was also found in couples with diabetes in the man compared to couples without diabetes. One study suggests a connection between varicocelectomy and improved sperm DNA fragmentation and lower abortion rate. This review confirms that paternal age, somatic health and particularly health regarding cardiovascular and metabolic disease are associated positively with risks of pregnancy loss. However, further research may lead to evidence, which are more conclusive.
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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) | 0.005 | 0.001 |
| 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) | 0.000 | 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