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Record W2892216235 · doi:10.1016/j.radcr.2018.08.022

Incidentally found hyperreactio luteinalis in pregnancy

2018· article· en· W2892216235 on OpenAlexaff
Humara Edell, Omid Shearkhani, Mohsen Rahmani, Rose Kung

Bibliographic record

VenueRadiology Case Reports · 2018
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsMedicinePregnancyHyperandrogenismNatural historyAbdominal painObstetricsGynecologyPresentation (obstetrics)Human chorionic gonadotropinSurgeryInternal medicinePolycystic ovary

Abstract

fetched live from OpenAlex

Hyperreactio luteinalis (HL) is a rare pregnancy-related condition in which the ovaries become massively enlarged bilaterally, occupied by multiple benign theca lutein cysts, secondary to increased ovarian stimulation by beta-human chorionic gonadotropin (B-hCG). HL should resolve spontaneously postpartum, however, their occurrence has led some physicians unfamiliar with the natural history of the condition to perform unnecessary ovarian cystectomies or oophorectomies. A healthy 32-year-old woman was incidentally found to have new onset multicystic ovaries on ultrasound at 31 + 3 weeks gestational age, which continued to enlarge, with a maximum volume of ∼448.0 cm3 and ∼323.5 cm3 in right and left ovaries, respectively. She also developed signs and symptoms of hyperandrogenism, and later abdominal pain which ultimately expedited delivery. This paper demonstrates that familiarity with HL as a clinical entity, its typical presentation and natural history, and targeting conservative management is paramount in minimizing iatrogenic harm by obstetricians given the increased use of ultrasound in pregnancy. Patients presenting after the first trimester with bilateral multicystic ovaries with a "spoke wheel" appearance on ultrasound, hyperandrogenism, abnormally elevated B-hCG, or symptoms consistent with elevated B-hCG should prompt a possible diagnosis.

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)0.000
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 score0.154
Threshold uncertainty score0.488

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.025
GPT teacher head0.325
Teacher spread0.299 · 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

Citations12
Published2018
Admission routes1
Has abstractyes

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