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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 OpenAlexaff
Allan D. Sniderman, I. Junger, Ingar Holme, Are H. Aastveit, Göran Walldius

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.058
metaresearch head score (Gemma)0.221
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.058
Threshold uncertainty score0.308

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0580.221
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations104
Published2006
Admission routes1
Has abstractyes

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