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Record W1985465222 · doi:10.1177/000456320103800506

Serum Apolipoprotein H and its Relationship to Blood Pressure, Serum Lipids, Fasting Plasma Glucose and Insulin in Normal Individuals

2001· article· en· W1985465222 on OpenAlexaff
Martin Crook, S I Ch'ng, P Lumb, Fiona Reid

Bibliographic record

VenueAnnals of Clinical Biochemistry International Journal of Laboratory Medicine · 2001
Typearticle
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsInternal medicineEndocrinologyApolipoprotein BBody mass indexDiabetes mellitusInsulinCholesterolMedicineBlood lipidsBlood pressureChemistry

Abstract

fetched live from OpenAlex

Apolipoprotein H (apo H), also known as beta2-glycoprotein 1, has recently become of interest in the field of haemostasis. As apo H is elevated in diabetes mellitus and dyslipidaemia, we wished to test the hypothesis that serum apo H concentration was related to fasting plasma glucose and insulin as well as blood pressure, body mass index, hip/waist ratio and serum lipids in normal individuals. Eighty-one healthy young individuals (46 females and 35 males) were studied. Their age was 20.7 +/- 0.75 years. Serum apo H significantly correlated with fasting plasma glucose (r = 0.24, P = 0.03) and serum LDL cholesterol (r = 0.30, P = 0.006). In the females serum apo H significantly correlated with serum cholesterol concentration (r = 0.30, P = 0.04) and in males with serum HDL cholesterol concentration (r = 0.35, P = 0.04). In multifactorial regression analysis for serum apo H and the other variables for the 81 subjects, only gender and fasting plasma glucose remained statistically significant in the model. Serum apo H concentrations would be expected to increase by 21.7 mg/L for each single mmol/L increase in fasting plasma glucose (95% CI 2.3-41 2), P = 0.029, and to increase by 17.0 mg/L if the gender is male (95% Cl 0.7-332), P= 0.041.

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)0.004
metaresearch head score (Gemma)0.014
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 score0.187
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.014
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 head0.062
GPT teacher head0.378
Teacher spread0.315 · 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

Citations10
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of Clinical Biochemistry International Journal of Laboratory MedicineSame topicDiabetes, Cardiovascular Risks, and LipoproteinsFrench-language works237,207