Medical Treatment of Spontaneous Abortion in the First Trimester
Bibliographic record
Abstract
Background: The objective was to evaluate the efficacy of medical treatment with misoprostol in spontaneous abortion in the first trimester. The other objectives were to determine the incidence of side effects and complications and identify causes that may motivate medical treatment failure, and to establish the degree of acceptance and patient satisfaction. A cost-effectiveness study was performed. Methods: It was longitudinal, observational, prospective, descriptive and analytic research. We evaluated 680 patients diagnosed with spontaneous abortion of the first trimester, in the period between June 2009 and December 2011 at the Hospital Clinico San Carlos. It was developed a protocol for the administration of medical treatment with misoprostol for those patients who accepted, compared with classic surgery. Results: The success of medical treatment was 81.85%, it was effective in 89.21% of accomplished incomplete abortion, in the 79.52% of deferred abortion and in the 78.46% of anembryonic gestation. There were minor side effects in the 33.59% of patients, declaring satisfaction in 84.99% of patients. With regard to cost study, there was a patient savings €960.54. Conclusions: The success of medical treatment in our study was high, with effective approximately eight out of 10 patients. Misoprostol is highly accepted by patients, declaring most satisfied. The incidence of minor side effects is low, and were well tolerated, so their presence does not seem to restrict the application of such treatment. Its use helps to reduce healthcare costs. J Clin Gynecol Obstet. 2015;4(3):265-270 doi: http://dx.doi.org/10.14740/jcgo335w
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.026 |
| 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 | 0.000 |
| 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 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".