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Record W4394682365 · doi:10.14740/jcgo949

Spontaneous Adrenal Hemorrhage in Pregnancy

2024· article· en· W4394682365 on OpenAlexvenueno aff
Priyanka Desai, Bidhya Pandey, Henry Nava, Anil KC, Richard Trester

Bibliographic record

VenueJournal of Clinical Gynecology and Obstetrics · 2024
Typearticle
Languageen
FieldMedicine
TopicAdrenal and Paraganglionic Tumors
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAdrenal HemorrhagePregnancyObstetricsGynecologySurgery

Abstract

fetched live from OpenAlex

Spontaneous adrenal hemorrhage (SAH) is a serious medical condition that occurs due to acute damage to the adrenal gland or chronic atrophy of the adrenal gland. Although pregnancy is a known risk factor for adrenal hemorrhage, its etiology and incidence are unknown, causing it to be a rare and poorly understood disorder in obstetric patients. For this reason, the risk of SAH being misdiagnosed is severe and may pose significant life-threatening consequences to the patient if left untreated. This report describes the clinical signs and symptoms, diagnostic testing and management of SAH by following a patient in the third trimester of pregnancy that developed a spontaneous unilateral adrenal hemorrhage. Fortunately, through the early recognition of SAH, the patient was successfully treated with complete resolution of her symptoms and was able to deliver at full term without any obstetric complications. J Clin Gynecol Obstet. 2024;13(1):18-22 doi: https://doi.org/10.14740/jcgo949

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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.508
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
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 head0.041
GPT teacher head0.362
Teacher spread0.322 · 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 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

Citations2
Published2024
Admission routes1
Has abstractyes

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