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Enregistrement W2592609486

Foreword Optimizing the Prevention of Cardiovascular Events

2016· article· en· W2592609486 sur OpenAlexaboutno aff
David Fitchett, Anatoly Langer

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineMedicine
ThématiqueLipoproteins and Cardiovascular Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineAcute coronary syndromeGuidelineIntensive care medicineClinical trialDiseaseCardiovascular eventAdverse effectSecondary preventionCoronary heart diseaseInternal medicineMyocardial infarctionPathology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Patients with cardiovascular disease are fortunate to have available a wide range of proven treatments that have greatly reduced the risk for cardiovascular complications. 1 Clinical trials involving large numbers of subjects have provided confident evidence of benefit. However the application of the findings published from clinical trials does not always reach the bedside. Despite guideline recommendations to use proven treatments, many patients either do not have the therapy prescribed or physicians fail to follow the strategy proven in the clinical trial. 2,3 This special issue of the Canadian Journal of Cardiology provides therapeutic suggestions on the basis of clinical trial evidence for the management of 2 common cardiology scenarios. The first article 4 from the Canadian Heart Research Centre on the management of the patient who has recently been hospitalized for an acute coronary event provides evidence-based step-by-step recommendations for long-term secondary prevention. The second article 5 provides a discussion of strategies for patients with statin-related adverse effects or who are unable to tolerate statin treatment. Hospitalization with an acute coronary syndrome (ACS) provides the opportunity to initiate optimal evidence-based treatment. Treatment goals are to reduce the risk of complications from the acute coronary event, and the chance of recurrent atherosclerotic cardiovascular events. Vascular and cardiac protection are the principles of treatment for these high-risk patients. For patients with an ACS it is often the start of long-term treatment of chronic atherosclerotic disease. Today, to provide optimal treatment to meet these goals during a short duration hospital admission is a challenge. An important role of the coronary care unit has been to provide patient education and review treatment goals. With improved technical care, especially early revascularization, the duration of hospitalization has shortened. Consequently, there is need for aids such as protocol-driven discharge prescriptions to ensure that patients have the opportunity to be considered for all evidence-based treatment that might provide benefit. In the application of clinical trial results to clinical practice the need to follow the protocol used in the study should be recognized. Patient demographic characteristics, drugs and doses used, and duration of treatment should closely follow the proven strategy applied in the clinical trial. Guidelines recommend classes of drugs, yet relatively few individual drugs have been shown to have benefit in robust clinical trials. Consequently, a class effect cannot be assumed. Frequently doses of drugs used in the trials are not achieved. Treatments are often extended to groups of patients for which there is no proven benefit. If optimal benefit of the research findings from a clinical trial is to be achieved, then there is need for close respect of the trial protocol. However it is recognized that special patient groups might not be included in clinical trials. These groups include elderly individuals, and those with chronic kidney or liver disease. In these situations the clinician is often left to make a clinical judgement on the basis of the potential benefits and risks of the treatment. Clinical trials have introduced new treatments at widely different clinical epochs. For example, b-blockers were studied before most of our current ACS treatments, including coronary angioplasty, statins, and angiotensin converting enzyme inhibitors, were available. When there are no recent studies, it remains a challenge to know whether treatment proven in a previouseraremainsbeneficialwhenusedwithcurrenttreatment strategies. Often there are less stringent observational studies to provide clues of contemporary outcomes with the treatment. Several new medications withlikely benefitinpatientswitha history of ACS and chronic cardiovascular disease, have recently become available. The proprotein convertase subtilisin kexin type 9 (PCSK9) inhibitors reduce low-density lipoprotein cholesterol 50% beyond that achieved with statin therapy. Preliminary data suggest the additional low-density lipoproteinlowering achieved with these agents in patients at high risk, is associated with a substantial reduction of cardiovascular adverse outcomes. The sodium glucose co-transporter type 2 (SGLT2) inhibitor empagliflozin was shown to reduce mortality and the incidence of heart failure in patients with diabetes and cardiovascular disease (including patients with a history of myocardial infarction). For patients with heart failure, neprilysin inhibition and If channel inhibition with ivabradine improve outcomes.

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)0,002
score de la tête « metaresearch » (Gemma)0,016
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: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,073
Score d'incertitude au seuil0,244

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,016
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0060,004
Science ouverte0,0020,002
Intégrité de la recherche0,0090,013
Charge utile insuffisante (le modèle a refusé de juger)0,0730,048

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 Opus0,021
Tête enseignante GPT0,266
Écart entre enseignants0,244 · 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

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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