Establishing a Human Chorionic Gonadotropin Cutoff to Guide Methotrexate Treatment of Ectopic Pregnancy: A Systematic Review
Bibliographic record
Abstract
Methotrexate is an established alternative to surgery for treating ectopic pregnancy. While lower levels of human chorionic gonadotropin (hCG) correlate with a decreased risk of treatment failure, there is as yet no agreement on an absolute hCG level that would be a relative contraindication to methotrexate therapy. The authors undertook a systematic MEDLINE search and encountered 5 observational studies, totaling 503 women, that purportedly documented increasing failure rates in conjunction with increasing hCG levels. All of these studies followed a single-dose methotrexate protocol. Failure rates increased with higher hCG levels, and a substantial, statistically significant increase in failures was evident when comparing patients whose initial hCG levels exceeded 5000 mIU/mL with those having lower baseline levels. The odds ratio (OR) was 5.45, with a 95% confidence interval (CI) of 3.04–9.78. Women whose initial serum hCG level ranged from 5000 to 4002 mIU/mL had a significantly higher failure rate than those whose initial serum concentrations were 2000–4999 mIU/mL (OR, 3.76; 95% CI, 1.16–12.33). Another way to express this is that, for every 10 treatments there will be 1 more failure if the serum hCG is 5000–4002 mIU/mL than if it is 2000–4999 mIU/mL. The difference in rates approximates 10%. There is little difference in failure rates between groups with cutoff values greater than 5000 mIU/mL because overall failure rates are increased for both groups. These findings dictate a cautious approach when planning single-dose methotrexate treatment for ectopic pregnancy when the initial serum hCG level exceeds 5000 mIU/mL. It is not clear whether the use of a 2-dose or multidose protocol would yield different results.
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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 | 0.002 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".