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Record W4409075343 · doi:10.5348/100199z08jl2025cr

Twin tubal and interstitial ectopic pregnancies managed by multidose methotrexate therapy

2025· article· en· W4409075343 on OpenAlexaff
Jessica Shu Nan Li, Romina Levy, Jeffrey Man Hay Wong

Bibliographic record

VenueJournal of Case Reports and Images in Obstetrics and Gynecology · 2025
Typearticle
Languageen
FieldMedicine
TopicEctopic Pregnancy Diagnosis and Management
Canadian institutionsUniversity of British ColumbiaUniversity of Toronto
Fundersnot available
KeywordsMethotrexateEctopic pregnancyMedicineObstetricsGynecologyPregnancySurgeryBiology

Abstract

fetched live from OpenAlex

Introduction: Twin ectopic pregnancy is a rare diagnosis with no clear consensus guidelines for management. We present a case of a stable patient with a spontaneous twin interstitial and tubal ectopic pregnancy treated with systemic multidose methotrexate. Case Report: A 31-year-old nulliparous patient was diagnosed with a twin interstitial and tubal ectopic pregnancy after presenting at 6+1 weeks gestational age with a β-hCG of 2303 mIU/mL, vaginal spotting, and mild pain. Given the case characteristics and hemodynamic stability, she was managed with systemic multidose methotrexate and leucovorin rescue. She remained clinically stable and her β-hCG became undetectable on day 42 after treatment initiation. Conclusion: Multidose methotrexate therapy is a suitable treatment option for carefully selected patients with twin ectopic pregnancies who are hemodynamically stable.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.012
GPT teacher head0.291
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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