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Enregistrement W2107026184 · doi:10.1177/0003319713505897

Nicotinic Acid

2013· editorial· en· W2107026184 sur OpenAlexaboutno aff
Thomas F. Whayne

Notice bibliographique

RevueAngiology · 2013
Typeeditorial
Langueen
DomaineMedicine
ThématiqueLipoproteins and Cardiovascular Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineNiacinStatinNicotinic agonistInternal medicineMedical prescriptionCholesterolEndocrinologyCardiologyPharmacology

Résumé

récupéré en direct d'OpenAlex

Nicotinic acid is back in the spotlight of controversy, and it therefore appears appropriate to consider its benefits and possible problems. Jackevicius et al have just published their concerns that per capita use of nicotinic acid in the United States far exceeds that in Canada, almost 6-fold by their calculation, with Niaspan as the main prescription product in both the countries. Apparently, their economic comparison and implied excess use in the United States were stimulated by 2 recent studies considered to cause uncertainty regarding nicotinic acid, the Atherothrombosis Intervention in Metabolic Syndrome with low HDL/ High Triglycerides: Impact on Global Health Outcomes (AIMHIGH) trial and the Heart Protection Study 2-Treatment of HDL to Reduce the Incidence of Vascular Events (HPS2THRIVE) study. The AIM-HIGH trial reported that in patients with atherosclerotic cardiovascular (CV) disease already treated for a low-density lipoprotein cholesterol (LDL-C) level of 71 mg/dL (1.84 mmol/L), no incremental benefit occurred with the addition of nicotinic acid to statin therapy over 36 months, although significant improvements resulted in high-density lipoprotein cholesterol (HDL-C) and triglycerides. In HPS2THRIVE, nicotinic acid, combined with the antiflushing agent laropiprant, did not decrease CV risk further in the presence of statin therapy, and there was a question of increased risk of nonfatal but serious side effects. In the case of HPS2-THRIVE, the starting overall LDL-C was 1.64 mmol/L (63 mg/dL). Both of these studies involved patients on a statin with proven CV disease and essentially at the target for the high-CV risk patient of LDL-C <70 mg/dL. Showing significant benefit in this situation appears problematic, and possibly, the deck was stacked against nicotinic acid for showing more benefit due to the guideline LDL-C levels being already achieved on a statin. Nevertheless, such results must be put in context, analyzed, and debated. A National Lipid Association statement supports continued use of nicotinic acid as a statin adjunct, especially in patients with low HDL-C and high triglycerides, and points out that in the case of laropiprant in HPS2-THRIVE, the laropiprant may be a problematic factor. It is also appropriate to review that nicotinic acid has supportive evidence-based medicine, despite the current concerns. As can be summarized, there is ample evidence from multiple varied-approach studies of the benefit of a targeted reduction in LDL-C for CV disease prevention. Nicotinic acid can contribute to this LDL-C reduction in many situations. The Coronary Drug Project (CDP) was conducted between 1966 and 1975 and assessed the long-term efficacy and safety of 5 medications in men aged 30 to 64 years, with electrocardiogram-documented previous myocardial infarction (MI). At the end of the trial, nicotinic acid showed a modest benefit in decreasing definite nonfatal recurrent MI, but total mortality was not decreased. Nicotinic acid was discontinued at the end of the CDP. However, with a mean follow-up of 15 years, almost 9 years after the end of the CDP trial (the patients were not taking nicotinic acid during these 9 years after the CDP), the mortality in the nicotinic acid group was 11% lower than in the placebo group (52.0% vs 58.2%; P 1⁄4 .0004). In the Cholesterol Lowering Atherosclerosis Study using colestipol plus nicotinic acid, it was demonstrated by quantitative coronary angiography that coronary artery plaque regression is achievable with statistical significance. In a meta-analysis involving 11 clinical trials of nicotinic acid, including 9959 patients with nicotinic acid either used alone or combined with other lipid-lowering therapy, Lavigne and Karas calculated the odds ratio (OR) for CV disease events. Nicotinic acid use was associated with a significant decrease in combined end points of any CV disease event (OR: 0.66; 95% confidence interval [CI]: 0.49-0.89; P 1⁄4 .007) and major coronary heart disease (CHD) events (OR: 0.75; 95% CI: 0.59-0.96; P 1⁄4 .02). Nicotinic acid did not significantly alter the incidence of stroke, and the difference in HDL-C between treatment arms did not have a significant association with the extent of nicotinic acid effect on outcomes. In a combined analysis of 4 major studies that evaluated the effect of nicotinic acid on glucose levels, on coronary artery stenosis progression utilizing quantitative coronary angiography, and on various clinical events in a combined total of 407 patients, Phan et al found that nicotinic acid over 3 years was associated with increased blood glucose levels and an increased risk of an impaired fasting glucose but not actual diabetes mellitus.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,037
Score d'incertitude au seuil0,125

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0370,024

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,009
Tête enseignante GPT0,276
Écart entre enseignants0,266 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2013
Routes d'admission1
Résumé présentoui

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