Value of Serum β-hCG in Pathogenesis of Pre-Eclampsia
Bibliographic record
Abstract
Background: Pre-eclampsia is a pregnancy specific disorder responsible for maternal and foetal morbidity and mortality. The aim of the present study was to find out the association of serum level of maternal β-hCG in normal pregnancy and pre-eclampsia and its role in development of pre-eclampsia. Methods: The prospective randomized controlled study was conducted on 50 cases of pre-eclampsia with singleton foetus and 50 normotensive singleton mothers in the third trimester of pregnancy. The paired samples of serum samples were estimated for β-hCG and results were analyzed statistically using SPSS 17. Result: The serum level of maternal β-hCG was markedly raised in preeclampsia (18,087.42 ± 2,014.17 mIU/mL) in comparison to controlled (8,391.06 ± 1,909.64 mIU/mL) and parallel with the severity of pre-eclampsia. Conclusion: The maternal serum level of β-hCG plays one of the important role in pathogenesis of pre-eclampsia and its severity. doi: http://dx.doi.org/10.4021/jcgo57w
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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 | 0.002 | 0.003 |
| 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) | 0.001 | 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".