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Record W2267689400 · doi:10.1177/1753495x15594082

Severe gestational hypertriglyceridemia: A practical approach for clinicians

2015· review· en· W2267689400 on OpenAlex
Bertha Wong, Teik Chye Ooi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueObstetric Medicine · 2015
Typereview
Languageen
FieldMedicine
TopicLipid metabolism and disorders
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineHypertriglyceridemiaPregnancyPlasmapheresisAcute pancreatitisFetusIntensive care medicinePancreatitisPediatricsObstetricsInternal medicineImmunology

Abstract

fetched live from OpenAlex

Severe gestational hypertriglyceridemia is a potentially life threatening and complex condition to manage, requiring attention to a delicate balance between maternal and fetal needs. During pregnancy, significant alterations to lipid homeostasis occur to ensure transfer of nutrients to the fetus. In women with an underlying genetic predisposition or a secondary exacerbating factor, severe gestational hypertriglyceridemia can arise, leading to devastating complications, including acute pancreatitis. Multidisciplinary care, implementation of a low-fat diet with nutritional support, and institution of a hierarchical therapeutic approach are all crucial to reduce maternal and fetal morbidity. To avoid maternal pancreatitis, close surveillance of triglycerides throughout pregnancy with elective hospitalization for refractory cases is recommended. Careful dietary planning is required to prevent neural and retinal complications from fetal essential fatty acid deficiency. Questions remain about the safety of fibrates and plasmapheresis in pregnancy as well as the optimal timing for induction and delivery of these women.

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.

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)0.002
metaresearch head score (Gemma)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.688
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.216
GPT teacher head0.443
Teacher spread0.227 · 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