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Errors that result from using the TC/HDL C ratio rather than the apoB/apoA‐I ratio to identify the lipoprotein‐related risk of vascular disease

2006· article· en· W2001014486 on OpenAlex
Allan D. Sniderman, I. Junger, Ingar Holme, Are H. Aastveit, Göran Walldius

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

VenueJournal of Internal Medicine · 2006
Typearticle
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsMcGill University
Fundersnot available
KeywordsApolipoprotein BOdds ratioMedicineInternal medicineCholesterolEndocrinologyLipoproteinPopulationRate ratioHigh-density lipoproteinRisk factorConfidence interval

Abstract

fetched live from OpenAlex

The objective of this analysis was to demonstrate the frequency and extent of error that results from using the TC/HDL C ratio rather than the apoB/apoA-I ratio to estimate the lipoprotein-related risk of vascular disease within 94,667 men and 75,675 women in the Apoprotein-related Mortality Risk (AMORIS) cohort. The odds ratio (OR) for the risk of fatal myocardial infarction was determined for 1 SD change in the apoB/apoA-I ratio and all the conventional cholesterol ratios--TC/HDL C ratio, LDL C/HDL C ratio, non-HDL C/HDL C ratio. In both men and women, the apoB/apoA-I ratio was significantly greater than any of the cholesterol ratios, which, in fact, differed little. Therefore, the apoB/apoA-I ratio was taken as the most accurate index of the lipoprotein-related risk of vascular disease. Using Receiver Operating Characteristic analysis, it was demonstrated that the diagnostic accuracy of the apoB/apoA-I ratio was significantly greater than any cholesterol ratio in those with an LDL cholesterol <3.6 mmol L(-1) compared to those with an LDL cholesterol >3.6 mmol L(-1). Indeed, the difference between the apoB/apoA-I OR compared with the TC/HDL C OR progressively widened as risk increased. This suggests that the advantage of the apoB/apoA-I ratio is greatest in the population at highest risk. The distribution of subjects by quintiles showed in both genders that whilst agreement was greatest at the extremes, even at these points there was substantial discordance between the TC/HDL C and the apoB/apoA-I ratios. Within the middle of the distribution, less than 50% of the values were concordant. Finally, when comparing the ORs, the TC/HDL C ratio underestimated risk in 69.4% of male subjects and overestimated risk in 26.1% of male subjects, whereas in the female subjects, the TC/HDL C ratio underestimated risk in 84.9% of the subjects and overestimated risk in 12.0%. Thus, using the conventional cholesterol ratios rather than the apoB/apoA-I ratio results in frequent and substantial error in the estimation of the lipoprotein-related risk of vascular disease.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.695
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.021
GPT teacher head0.284
Teacher spread0.263 · 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