Platelet Indices and Blood Groups in Early Recurrent Miscarriage: A Study in Pregnant Women
Bibliographic record
Abstract
Background: Recurrent miscarriage estimated prevalence with 1% to 3% of pregnancies and the probable causes of recurrent miscarriage are multiple, ranging from genetic, environmental, infectious, metabolic, and endocrine to anatomic causes. However, there is no study in the literature to date about the platelet indices in recurrent miscarriage. Methods: This observational, retrospective study was investigated a total of 51 recurrent miscarriage patient and 64 healthy controls. Results: MPV values were none significantly higher in controls than ERM (8.2 vs 8.1, P 0.75). Also there were no significantly differences between the groups related to WBC, PDW, platecrit, platelet and glucose levels. There was no significant correlation between the number of miscarriage and MPV, PDW and platectrit (P 0.25, 0.3 and 0.7, respectively). Conclusions: In conclusion, this is the first study which compares the platelet indices in the recurrent pregnancy loss. Platelet indices such as MPV, PDW and platecrit didn’t risk factor for recurrent miscarriage in pregnant women. There is no significant difference for ABO blood group in recurrent miscarriage and control. doi: http://dx.doi.org/10.4021/jcgo90e
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".