Notice bibliographique
Résumé
In this issue of the journal, Dr Claeys and co-workers from Belgium report real-world data in a multicentre study, evaluating the treatment persistence of oral antiplatelet (OAP) therapy during a 1-year follow-up in patients after an acute coronary syndrome (ACS). The proportion of patients still using OAPs after 90, 180, 270, and 360 days was 92, 89, 83, and 73%, respectively. OAP persistence was higher for patients treated with prasugrel or ticagrelor. At 360 days, 79% of patients with an ST-segment elevation myocardial infarction (STEMI) and 66% of patients with a non-STEMI were still adhering to the prescribed course of treatment. The results are important since several previous studies have shown that treatment adherence to guidelines and patient compliance are extremely important issues for the prognosis of patients within cardiology.1–3 In another study with a focus on adherence to international guidelines, Dr Giugliano and co-workers report a retrospective chart review designed to evaluate physician adherence to the prescribing information for fondaparinux regarding adjunctive anticoagulant use during percutaneous coronary intervention (PCI) in patients with an ACS. The study originates from 27 sites across six countries (Canada, France, Germany, Greece, Poland, and Sweden). Over 98% of patients had been treated with fondaparinux at the recommended 2.5 mg dose, and the authors conclude that physician adherence to the prescribing information for adjunctive anticoagulation during PCI in patients with an ACS receiving fondaparinux was high. The results were consistent in each of the six countries and across patient subgroups. Dr Lettino and Dr Jukema report data from an European registry study.4–6 The authors aimed to provide a descriptive overview of unadjusted analyses of patient characteristics, ACS management, and outcomes up to 1 year after hospital admission for an ACS/index ACS event, in patients with diabetes mellitus in contemporary registries in Europe. A total of 10 registries provided data in a systematic manner on ACS patients with (total n = 28 899) and without diabetes mellitus (total n = 97 505). All-cause mortality in the registries ranged from 1.4% to 9.4% in hospital; 2.8% to 7.9% at 30 days post-discharge; 5.1% to 10.7% at 180 days post-discharge; and 3.3% to 10.5% at 1 year post-discharge. Major bleeding events were reported in up to 3.8% of patients while in hospital (eight registries); up to 1.3% at 30 days (data from two registries only), and 2.0% at 1 year (one registry only). Registries differed substantially in terms of study setting, site, patient selection, definition, and schedule of endpoints, and use of various P2Y12 inhibitors. Pooled risk ratios comparing cohorts with diabetes mellitus vs. no diabetes mellitus were significantly higher in hospital with diabetes mellitus for all-cause death [1.66; 95% confidence interval (CI) 1.42–1.94], for cardiovascular death (2.33; 95% CI 1.78–3.03), and for major bleeding (1.35; 95% CI 1.21–1.52). These registry data from real-life clinical practice confirm a high risk for recurrent events among diabetes mellitus patients with ACS, with great variation across the different registries. In a multicentre review paper, Dr Siller-Matula and co-workers discuss the role of diagnostic tools such as platelet function and pharmacogenomic testing to personalize antiplatelet therapy. The authors conclude that although the biological underpinnings and observational data supporting personalization are robust, more evidence is needed to recommend personalization as standard of care. This important issue has previously been discussed in the journal.7,8 Finally we publish a Consensus document from the European Heart Rhythm Association (EHRA) and ESC Council on Hypertension, endorsed by the Heart Rhythm Society (HRS), Asia-Pacific Heart Rhythm Society (APHRS), and Sociedad Latinoamericana de Estimulación Cardíaca y Electrofisiología (SOLEACE). Hypertension is a common cardiovascular risk factor leading to heart failure, coronary artery disease, stroke, peripheral artery disease, and chronic renal failure. Hypertensive heart disease can manifest as many types of cardiac arrhythmias, the most common being atrial fibrillation. The authors review the available evidence and publish a joint consensus document on hypertension and cardiac arrhythmias, providing up to date consensus recommendations for use in clinical practice. This consensus document is commented on in an Editorial by Dr Kjeldsen from Norway, Atrial fibrillation and hypertension have also been discussed previously in the journal.9–13
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».