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Record W4417226499 · doi:10.14740/jcgo1538

Spontaneous Adrenal Hemorrhage in Pregnancy

2025· article· en· W4417226499 on OpenAlexvenueno aff
Donald J. Wilson, Isioma Okolo, Amy Wang

Bibliographic record

VenueJournal of Clinical Gynecology and Obstetrics · 2025
Typearticle
Languageen
FieldMedicine
TopicAdrenal and Paraganglionic Tumors
Canadian institutionsnot available
FundersNational Institutes of Health
KeywordsAdrenal insufficiencyAdrenal HemorrhagePregnancyAbdomenAbdominal painGestationMagnetic resonance imagingFlank pain

Abstract

fetched live from OpenAlex

Spontaneous adrenal hemorrhage (SAH) is a rare condition that may lead to life-threatening adrenal insufficiency or adrenal crisis if not addressed appropriately. Abdominal pain during pregnancy has a broad differential diagnosis, which includes SAH. There are very few studies on the precipitating factors, management, and optimal mode of delivery. We present a 32-year-old multiparous woman who presented at 33 weeks of gestation with right-sided flank pain. The initial ultrasound of the abdomen was unremarkable. The diagnosis of SAH was made by magnetic resonance imaging (MRI) of the abdomen, and the patient management included analgesia, serial hemoglobin assessments, and clinical examination which resulted in uncomplicated vaginal delivery. She was followed up with endocrinology at 3 months with plan for repeat MRI of the abdomen. SAH, although rare, is an important consideration when evaluating abdominal and flank pain during pregnancy. It is a challenging diagnostic and therapeutic condition. The management options vary from conservative management to surgical intervention depending on the stability of the patient. A multidisciplinary team (MDT) approach is a very crucial aspect of diagnosis and management of this rare condition.

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)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.568
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.017
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 integrity0.0000.001
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 head0.031
GPT teacher head0.361
Teacher spread0.330 · 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.

Study designObservational
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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