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Record W2062401406 · doi:10.4137/cmrh.s13110

A Rare Case of Chronic Ectopic Pregnancy Presenting as Large Hematosalpinx

2014· article· en· W2062401406 on OpenAlexaff
Madhavi Nacharaju, Venkata Sujatha Vellanki, Sarath Babu Gillellamudi, Vamsi Krishna Kotha, Abhinaya Alluri

Bibliographic record

VenueClinical Medicine Insights Reproductive Health · 2014
Typearticle
Languageen
FieldMedicine
TopicEctopic Pregnancy Diagnosis and Management
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsEctopic pregnancyMedicineSalpingectomyAdnexal massAmenorrheaPregnancyObstetricsMagnetic resonance imagingHemoperitoneumHuman chorionic gonadotropinAbdomenGynecologySurgeryRadiologyInternal medicine

Abstract

fetched live from OpenAlex

Ectopic pregnancy is defined as implantation and subsequent development of an embryo outside the uterine lining. It has wide range of presentation from acute hemoperitoneum to chronic ectopic pregnancy. This is an unusual case of chronic ectopic pregnancy with large hematosalpinx without classical symptoms. A 22-year-old South Indian woman reported to the outpatient clinic with irregular spotting for a duration of 2 months which was not associated with pain. There was no preceding amenorrhea and previous menstrual cycles were regular. Clinically, the patient was hemodynamically stable but severely anemic. The abdomen was soft on palpation, cervical movements were not tender, and human chorionic gonadotropin was absent in the urine. Ultrasound revealed a complex adnexal mass. Magnetic resonance imaging (MRI) revealed a large hematosalpinx. Laparoscopic left salpingectomy was conducted and histopathology confirmed ectopic pregnancy. Ectopic pregnancy presents diagnostic dilemmas in the absence of classical symptoms. MRI and laparoscopy are important tools in such a diagnostic dilemma.

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)0.003
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.071
GPT teacher head0.428
Teacher spread0.357 · 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

Citations16
Published2014
Admission routes1
Has abstractyes

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