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Record W4377102696 · doi:10.1016/j.radcr.2023.04.028

Distinguishing between cornual, angular and interstitial ectopic pregnancy: A case report and a brief literature review

2023· article· en· W4377102696 on OpenAlexaff
Gurinder Dhanju, Ashraf Goubran, Lukasz Zimolag, Robyn Chartrand, Frankel Matthew, Alli Breddam

Bibliographic record

VenueRadiology Case Reports · 2023
Typearticle
Languageen
FieldMedicine
TopicEctopic Pregnancy Diagnosis and Management
Canadian institutionsUniversity of SaskatchewanSt. Boniface Hospital
Fundersnot available
KeywordsEctopic pregnancyMedicineObstetricsGynecologyPregnancy

Abstract

fetched live from OpenAlex

For all clinical purposes, cornual, angular, and interstitial pregnancies are considered ectopic pregnancies that can have grave consequences for the patient. In this article, we describe and distinguish 3 types of ectopic pregnancies in the cornual region of the uterus. The authors advocate using the "cornual pregnancy" term only for ectopic pregnancies in malformed uteruses. We describe an ectopic pregnancy in a 25-year-old G2P1 patient in the cornual region of the uterus that was missed twice sonographically in the second trimester and had almost fatal consequences in the patient. Radiologists and sonographers should be aware of the sonographic diagnosis of angular, cornual and interstitial pregnancies. Whenever possible, first-trimester transvaginal ultrasound scanning is crucial for diagnosing these 3 types of ectopic pregnancies in the cornual region. In the second and third trimesters, ultrasound tends to become equivocal; hence alternate imaging, such as MRI, might add additional value to the management of the patient. A case report assessment and a comprehensive literature review comprising 61 case reports of ectopic pregnancy in the second and third trimesters are diligently undertaken in the Medline, Embase and Web of Science databases. The major strength of our study is that it is one of the few studies that describe a literature review of ectopic pregnancy in the cornual region exclusively in the second and third trimesters.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.134
Threshold uncertainty score0.716

Codex and Gemma teacher scores by category

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

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 head0.022
GPT teacher head0.309
Teacher spread0.287 · 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 teacher head, 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

Citations14
Published2023
Admission routes1
Has abstractyes

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