MétaCan
Menu
Back to cohort
Record W2891970087 · doi:10.1161/circ.133.suppl_1.mp38

Abstract MP38: Plasma Lipophilic Index and Risk of Coronary Heart Disease in Postmenopausal Women

2016· article· en· W2891970087 on OpenAlexaff
Qing Liu, Alice H. Lichtenstein, Nirupa R. Matthan, Simin Liu, Matthew Allison, Barbara V. Howard, Lisa Martin, Carolina Valdiviezo, JoAnn E. Manson, Charles B. Eaton

Bibliographic record

VenueCirculation · 2016
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Risk Factors
Canadian institutionsMount Allison University
Fundersnot available
KeywordsMedicineInternal medicineQuartileDocosahexaenoic acidLinoleic acidDyslipidemiaEndocrinologyMyocardial infarctionConfoundingLogistic regressionPolyunsaturated fatty acidGastroenterologyFatty acidObesityBiochemistryConfidence intervalChemistry

Abstract

fetched live from OpenAlex

Introduction: Fatty acids (FAs) are essential components of cell membranes and play an integral role in membrane fluidity. The lipophilic index (LI, defined as the sum of the products between FA percentage and melting points (°C) of each FA, divided by the total percentage of FAs) is a novel index that captures the overall FA profile and reflects lipoprotein fluidity. Limited studies have evaluated the relationship between plasma LI and CHD risk, and none has assessed this association among postmenopausal women. Hypothesis: Higher plasma LI is associated with increased CHD risk among postmenopausal women. Methods: In a nested case-control study in Women’s Health Initiative Observational Study, we measured levels of plasma phospholipid FAs, expressed as molar percentage (mol%), in 1214 matched CHD cases (including myocardial infarction and coronary death) and controls. Multivariate conditional logistic regression was used to calculate ORs for CHD risk between each quartiles (based on controls) of LI after adjusting for confounders. Results: The mean age of the women was 67.8±6.8 years, average BMI was 27.6±6.0, 89.5% were White, 6.6% were current smokers, 41.2% were hypertensive, and 15.2% had dyslipidemia. The median plasma LI among cases and controls were 22.5 and 22.1, respectively. Palmitic acid (16:0) and stearic acid (18:0), oleic acid (18:1), linoleic acid (18:2), and docosahexaenoic acid (22:6) were the most common saturated, monounsaturated, n-6 and n-3 polyunsaturated FAs, respectively. The association between quartiles of LI and CHD risk are shown in Table below. After multivariate adjustment in the parsimonious model, plasma LI was significantly associated with an increased risk of CHD: OR=1.61 (95% CI 1.25-2.07, P for trend<0.01) comparing extreme quartiles. This association was attenuated to 1.57 (1.22 - 2.03, P for trend<0.01) in the fully adjusted model. Conclusion: Our study indicated that higher plasma LI, which represents lower FA fluidity, was associated with higher risk of CHD among postmenopausal 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.

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)0.000
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 score0.019
Threshold uncertainty score0.231

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.010
GPT teacher head0.248
Teacher spread0.238 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueCirculationSame topicCardiovascular Health and Risk FactorsFrench-language works237,207