EP40.28: Experience in the diagnosis, treatment and outcome of cervical and interstitial ectopic pregnancies
Bibliographic record
Abstract
To describe the relevant findings in the diagnosis of cervical ectopic pregnancy CEP and interstitial ectopic pregnancy IEP in order to focus their management. This observational study included patients diagnosed with ectopic pregnancy between January 2019 and February 2022 at the Fundacion Santa Fe de Bogotá University Hospital. Paraclinical and ultrasonographic variables were evaluated. A descriptive analysis of the patients. To be selected, cases of PSC and IEP had to meet the ultrasonographic criteria of the Society of Obstetricians and Gynecologists of Canada, SCOGC, and cases of IEP had to meet the Timor-Tritsch criteria. The management established for each case and the prognostic factors for the success of pharmacological and/or surgical treatment were then discussed. Of 502 medical attendances for bleeding and pain in the first trimester of pregnancy, 102 were diagnosed as ectopic pregnancies, of which 3 cases of CEP and 2 cases of IEP were selected. Of the 2 IEP cases: BhCG level of 4670 and 2016 mIU/mL, both had a vascularised gestational sac (GS) without embryo, gestational age less than 6 weeks and were treated with multiple doses of Methotrexate (MTX) 1mg/kg, neither required surgical treatment. Of the 3 cases CEP BhCG level of 37174, 4770, 865 mIU/mL, all 3 had a vascularised gestational sac (GS), gestational age less than 9 weeks, no embryo and were treated with multiple doses of Methotrexate (MTX) 1mg/kg, two required surgical treatment and one was additionally treated with intrasaccular methotrexate. Multi-dose and intrasaccular MTX management of CEP and IEP reduced the need for QM. Determining factors for treatment success were BHGC levels at diagnosis, presence or absence of embryo, and gestational age.
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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 | 0.006 |
| 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 | 0.001 |
| 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".