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Record W2159562522 · doi:10.1210/jc.2010-0361

The Graded Relationship between Glucose Tolerance Status in Pregnancy and Postpartum Levels of Low-Density-Lipoprotein Cholesterol and Apolipoprotein B in Young Women: Implications for Future Cardiovascular Risk

2010· article· en· W2159562522 on OpenAlexafffund
Ravi Retnakaran, Ying Qi, Philip W. Connelly, Mathew Sermer, Anthony J. Hanley, Bernard Zinman

Bibliographic record

VenueThe Journal of Clinical Endocrinology & Metabolism · 2010
Typearticle
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsSt. Michael's HospitalMount Sinai HospitalDiabetes CanadaUniversity of Toronto
FundersBanting and Best Diabetes Centre, University of TorontoCanadian Institutes of Health ResearchUniversity of TorontoCanadian Diabetes AssociationHeart and Stroke Foundation of Canada
KeywordsApolipoprotein BInternal medicineGestational diabetesEndocrinologyMedicinePregnancyImpaired glucose toleranceCholesterolDiabetes mellitusGestationTriglycerideApolipoprotein A1Glucose tolerance testLipoproteinHigh-density lipoproteinType 2 diabetesInsulin resistanceBiology

Abstract

fetched live from OpenAlex

CONTEXT AND OBJECTIVE: Both gestational diabetes mellitus (GDM) and gestational impaired glucose tolerance (GIGT) identify women at risk of future cardiovascular disease, although the mediators of this risk are unknown. Because lipid factors can contribute to cardiovascular risk, we sought to characterize the relationship between gestational glucose tolerance status and lipid profile in pregnancy and the postpartum. DESIGN, SETTING, AND PARTICIPANTS: Fasting lipids were measured in 482 women in pregnancy and at 3 months postpartum. Antepartum glucose challenge test (GCT) and oral glucose tolerance test (OGTT) defined four gestational glucose tolerance groups: GDM (n = 136), GIGT (n = 89), abnormal GCT with normal glucose tolerance (NGT) on OGTT (abnormal GCT NGT) (n = 170), and normal GCT with NGT on OGTT (normal GCT NGT) (n = 87). RESULTS: In pregnancy, there were no significant differences between the groups in total and low-density lipoprotein (LDL) cholesterol, triglycerides, total cholesterol to high-density lipoprotein (HDL) cholesterol ratio, apolipoprotein B (apoB), apolipoprotein A1 (apoA1), and apoB to apoA1 ratio. At 3 months postpartum, however, each of the following lipid parameters progressively increased from normal GCT NGT to abnormal GCT NGT to GIGT to GDM: total cholesterol (P = 0.0047), LDL (P = 0.0002), triglycerides (P = 0.0002), total cholesterol to HDL ratio (P < 0.0001), apoB (P = 0.0003), and apoB to apoA1 ratio (P = 0.0014). Furthermore, on multiple linear regression analyses, GDM emerged as an independent predictor of postpartum total cholesterol (t = 3.09, P = 0.0021), LDL (t = 3.81, P = 0.0002), triglycerides (t = 3.38, P = 0.0008), total cholesterol to HDL ratio (t = 3.76,P = 0.0002), apoB (t = 4.12, P < 0.0001), and apoB to apoA1 ratio (t = 3.07, P = 0.0023). GIGT was an independent predictor of postpartum total cholesterol to HDL ratio (t = 2.27, P = 0.0239), apoB (t = 2.04, P = 0.0416), and apoB to apoA1 ratio (t = 1.97, P = 0.049). CONCLUSIONS: Compared with their peers, women with GDM and GIGT have a more atherogenic lipid profile by 3 months postpartum, characterized by increased LDL and apoB.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score0.572

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
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 head0.042
GPT teacher head0.353
Teacher spread0.311 · 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 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

Citations100
Published2010
Admission routes2
Has abstractyes

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