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Record W2981828093 · doi:10.1093/eurheartj/ehz748.0089

2154Apolipoprotein B/apolipoprotein A-I ratio is comparable with C-reactive protein in predicting cancer mortality: results from two multi-ethnic US populations

2019· article· en· W2981828093 on OpenAlexaff
Mohsen Mazidi, D.P. Mikhailidis, Niki Katsiki, Allan D. Sniderman, Maciej Banach

Bibliographic record

VenueEuropean Heart Journal · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Lipids, and Metabolism
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineNational Health and Nutrition Examination SurveyHazard ratioQuartileConfidence intervalInternal medicineApolipoprotein BDyslipidemiaBody mass indexCancerProportional hazards modelDiabetes mellitusC-reactive proteinDemographyEndocrinologyPopulationObesityCholesterolEnvironmental health

Abstract

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Abstract Background There is a lack of evidence regarding the link between apolipoproteins and cancer mortality. Purpose By using two nationally representative samples of US adults, we prospectively evaluated the associations between apolipoprotein B (apoB) levels and apoB/apolipoprotein A-I (apoA-I) ratio with cancer mortality. We also examined the role of C-reactive protein (CRP) in these associations. Method Adults aged ≥20 years, enrolled in the Third National Health and Nutrition Examination Survey (NHANES-III, 1988–1994) and continuous NHANES (2005–2010), and followed up to December 31st 2011, were included in the present analysis. Multiple Cox regressionswere applied to evaluate the associations between the variables of interest and cancer mortality. Results Overall, 7,695 participants were included (mean age: 49.2 years; 50.4% men, median follow-up: 19.1 years). In the fully adjusted (for age, gender, race, poverty to income ratio, educational status, body mass index, alcohol and dietary intake, smoking, dyslipidemia, hypertension and diabetes) model, participants in the highest quartile (Q4) of apoB/apoA-I had a significantly greater risk for cancer mortality [hazard ratio (HR): 1.40, 95% confidence interval (CI): 1.25–1.93] compared with those in the first quartile (Q1) (Figure). In the same model, a positive and significant association between apoB levels and fatal cancer was observed for individuals in the Q3 (HR: 1.12, 95% CI: 1.09–1.16) and Q4 (HR: 1.17, 95% CI: 1.09–1.25) compared with those in the Q1. When CRP levels were added in the analysis, the apoB/apoA-I ratio, but not apoB levels, remained significantly related to cancer mortality (Q4= HR: 1.17, 95% CI 1.09–1.25). In contrast, CRP levels were not able to predict cancer death after correction for apoB/apoA-I ratio. Cancer death and quartiles of ApoB/ApoA1 Conclusions In a large representative sample of the US adult population, the apoB/apoA-I ratio and apoB levels significantly predicted cancer mortality, independently of several cardiometabolic risk factors. The predictive value of apoB/apoA-I, but not apoB levels, remained significant after taking into account CRP, whereas CRP was not associated with cancer mortality after adjustment for apoB/apoA-I ratio. If further evidence supports our findings, apoA-I and apoB measurements could be considered in general health-care policies. Acknowledgement/Funding None

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)0.006
metaresearch head score (Gemma)0.006
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 score0.008
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
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 head0.071
GPT teacher head0.342
Teacher spread0.271 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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