Cervical Ectopic Pregnancy: Persistence Despite a Serologically Negative β-hCG. A Case Report.
Bibliographic record
Abstract
BACKGROUND: Cervical pregnancy is a rare type of ectopic pregnancy that can be associated with significant hemorrhage and loss of fertility. Given its rarity, most effective treatment protocols are not well established. CASE: A 33-year-old primigravid woman at 11 weeks' gestation presented to our institution with a cervical ectopic pregnancy with an initial β-hCG of 114,080 IU/L. She received 2 doses of systemic multidose methotrexate (1 mg/kg) with oral leucovorin on alternating days. Fetal intracardiac potassium chloride injection was also performed. Despite an appropriate decline to undetectable levels of serum β-hCG, as well as resumption of menses, there was persistent sonographic demonstration of the cervical ectopic pregnancy. Surgery was ultimately required to remove the ectopic products of conception. CONCLUSION: Despite seemingly successful medical treatment of the cervical ectopic pregnancy with resultant undetectable serum β-hCG levels, surgery was necessary for complete resolution of the cervical pregnancy. This report supports the need to integrate both serum β-hCG levels and ultrasound to ensure complete resolution of these rare pregnancies.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".