MétaCan
Menu
← Retour à la cohorte
Enregistrement W2910718731 · doi:10.1182/blood-2018-99-111911

Medically Ill Patients with Moderate Renal Insufficiency Have More Thrombotic and Bleeding Events Than Those with Normal Renal Function: Insights from the Magellan and Mariner Trials of Extended Thrombprophylaxis

2018· article· en· W2910718731 sur OpenAlexaff
Jeffrey I. Weitz, Gary E. Raskob, Alex C. Spyropoulos, Alexander T. Cohen, Theodore E. Spiro, Yoriko De Sanctis, Jianfeng Xu, Eunyoung Suh, Wentao Lu, Concetta Lipardi, Elliot S. Barnathan

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueVenous Thromboembolism Diagnosis and Management
Établissements canadiensMcMaster UniversityThrombosis and Atherosclerosis Research Institute
Organismes subventionnairesnon disponible
Mots-clésMedicineRivaroxabanRenal functionPlaceboKidney diseaseRandomizationSurgeryInternal medicineClinical trialWarfarin

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Hospitalized medically ill patients are at risk for venous thromboembolism (VTE) for at least 45 days after discharge. This observation prompted the MAGELLAN and MARINER trials, which evaluated the efficacy and safety of rivaroxaban for extended thromboprophylaxis. In MAGELLAN, rivaroxaban (10 mg once daily) started in hospital and continued for 35 days was compared with a 10±4 day course of enoxaparin (40 mg once daily) followed by placebo. In MARINER, a 45-day course of rivaroxaban (10 mg once daily for those with creatinine clearance [CrCl] ≥50ml/min and 7.5 mg once daily for those with CrCl 30-<50ml/min) started at discharge was compared with placebo. The goals of this analysis were: (i) to compare rates of VTE (total or symptomatic) and VTE related death and major or clinically relevant bleeding in patients with moderate renal insufficiency (CrCl 30-<50ml/min) and those with normal renal function (CrCL ≥50ml/min), and (ii) to determine if revised criteria for selecting patients for extended thromboprophylaxis are associated with reduced bleeding, particularly in those with moderate renal insufficiency. Methods: We evaluated key efficacy and safety outcomes in patients with moderate renal insufficiency and those with normal renal function from days 1 to 35 in the MAGELLAN study and in a MARINER-like subpopulation of MAGELLAN using the criteria defined a priori for patient exclusion used in the MARINER study. These criteria were: 1) active gastroduodenal ulcer within 3 months of randomization or currently symptomatic, 2) any bleeding within 3 months prior to randomization or during index hospitalization prior to randomization, 3) active cancer at randomization, 4) medical history of severe bronchiectasis or pulmonary cavitation, or 5) dual antiplatelet therapy at baseline. These criteria excluded approximately 20% of subjects in MAGELLAN at high risk of bleeding. Results: The rates of VTE and VTE related death in both the rivaroxaban and enoxaparin/placebo groups were approximately twofold higher in subjects with renal impairment than in those with normal renal function, but the relative risk reduction with rivaroxaban treatment (10mg) compared with enoxaparin/placebo was similar in both renal function subgroups. Rates of major and clinically relevant bleeding in the rivaroxaban group were approximately 50% higher in patients with renal impairment compared with those with normal renal function. In the MARINER like subpopulation, the relative risk reductions for efficacy outcomes were maintained in both renal subgroups, whereas the increase in major bleeding with rivaroxaban was reduced by approximately 50%. Conclusions: Medically-ill patients with renal impairment given extended thromboprophylaxis are at increased risk for both VTE and major bleeding. Use of the MARINER criteria to exclude patients at increased risk of bleeding appears to reduce the major bleeding risk without compromising the efficacy of 10mg daily of rivaroxaban. Figure Figure. Disclosures Weitz: Novartis: Honoraria; Servier: Honoraria; Janssen: Honoraria; Ionis: Consultancy, Honoraria; Daiichi-Sankyo: Honoraria; Bristol-Myers Squibb: Honoraria; Boehringer Ingelheim: Honoraria, Research Funding; Bayer: Honoraria. Raskob:Janssen: Consultancy; Bayer: Consultancy; BMS: Consultancy; Daiichi Sankyo: Consultancy; Boehringer Ingelheim: Consultancy; Eli Lilly: Consultancy; Pfizer: Consultancy, Honoraria; Novartis: Consultancy. Spyropoulos:Bayer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Colorado Prevention Center - ATLAS: Consultancy; Portola: Membership on an entity's Board of Directors or advisory committees; Boehringer Ingelheim: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Cohen:Aspen: Consultancy, Speakers Bureau; Bayer: Consultancy, Speakers Bureau; Boehringer Ingelheim: Consultancy, Speakers Bureau; BMS: Consultancy, Speakers Bureau; Daiichi Sankyo: Consultancy, Speakers Bureau; GSK: Consultancy, Speakers Bureau; Janssen: Speakers Bureau; Medscape: Consultancy, Speakers Bureau; Pfizer: Consultancy, Speakers Bureau; Portola: Consultancy, Speakers Bureau; AbbVie: Consultancy; ACI Clinical: Consultancy; Boston Scientific: Consultancy; CLS Behring: Consultancy; GLG: Consultancy; Guidepoint Global: Consultancy; Leo Pharma: Consultancy; McKinsey: Consultancy; Sanofi: Consultancy; Navigant: Consultancy; ONO: Consultancy; Takeda: Consultancy; Temasek Capital: Consultancy; TRN: Consultancy. Spiro:Bayer: Employment, Equity Ownership. De Sanctis:Bayer: Employment, Equity Ownership. Xu:Janssen Research and Development LLC: Employment, Equity Ownership. Suh:Janssen Research and Development LLC: Employment, Equity Ownership. Lu:Janssen Research and Development LLC: Employment. Lipardi:Janssen Research and Development LLC: Employment, Equity Ownership. Barnathan:Janssen Research and Development LLC: Employment, Equity Ownership.

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)0,003
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,017

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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.

Tête enseignante Opus0,016
Tête enseignante GPT0,245
Écart entre enseignants0,229 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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
Publié2018
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBlood→Même sujetVenous Thromboembolism Diagnosis and Management→Travaux en français237 207→