Success And Safety Of Misoprostol For Treatment Of Early Pregnancy Failure.
Bibliographic record
Abstract
BACKGROUND: Early pregnancy failure is a common complication in pregnancies. It can be managed medically as well as surgically. Lately there has been an emphasis on medical management of early pregnancy failure. Misoprostol, a Prostaglandin E1 analogue has been found to be safe and effective in treatment of early pregnancy failure. METHODS: This was a descriptive cross-sectional study that was conducted at the department of gynaecology and obstetrics, Ayub teaching hospital Abbottabad from Jan 2015 to Dec 2016. A total of 81 pregnant women with early pregnancy failure were enrolled in the study. Misoprostol was administered in a dose of 800 μg PO and repeated every 3 hours for a maximum of three doses if and when required. RESULTS: Misoprostol was effective in 60 (74.07%) patients and it resulted in complete expulsion of products of conception. The remainder needed surgical evacuation. There was a low incidence of side effects with nausea being the most common (4.94%) followed by PV bleeding (3.70%), abdominal cramps (3.70%) and diarrhoea (2.47%). CONCLUSIONS: Misoprostol is a safe and effective treatment option for the management of early pregnancy failure.
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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 | 0.001 | 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) | 0.002 | 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 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".