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Enregistrement W3003996945 · doi:10.1055/s-0039-3402809

Oral Anticoagulant Treatment in Patients with Atrial Fibrillation and Cancer

2020· letter· en· W3003996945 sur OpenAlexaff
Kevin Kris Warnakula Olesen, Matthew Wheeler, John W. Eikelboom

Notice bibliographique

RevueThrombosis and Haemostasis · 2020
Typeletter
Langueen
DomaineMedicine
ThématiqueAtrial Fibrillation Management and Outcomes
Établissements canadiensHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
Organismes subventionnairesDaiichi-SankyoServierSanofiPfizerEli Lilly and Company
Mots-clésMedicineAtrial fibrillationOral anticoagulantInternal medicineCancerCardiologyAnticoagulantAnticoagulant therapyThrombosisWarfarin

Résumé

récupéré en direct d'OpenAlex

Efficacy and Safety of Nonvitamin K Oral Anticoagulants in Patients with Atrial Fibrillation and Cancer: A Study-Level Meta-Analysis Oral anticoagulant therapy is recommended for the majority of patients with atrial fibrillation (AF) to reduce their risk of stroke.[ 1 ] [ 2 ] Nonvitamin K antagonists (NOACs) are generally preferred over vitamin K antagonists (VKAs) in AF patients because they have been shown in randomized trials and observational cohorts to be at least as effective for stroke prevention while reducing the risk of life-threatening bleeding.[ 3 ] [ 4 ] [ 5 ] NOACs are also more convenient to use because they do not require routine coagulation monitoring and have a lower potential for food and drug interactions. Patients with cancer are at increased risk of both thromboembolism and bleeding.[ 6 ] Cancer patients with venous thromboembolism (VTE) have long been preferentially treated with low-molecular-weight heparin (LMWH) because it is more effective than warfarin to prevent recurrent VTE in these patients.[ 7 ] More recently, NOACs have begun replacing LMWH for this indication based on the results of randomized trials (Hokusai-VTE-Cancer, SELECT-D, and ADAM-VTE) demonstrating similar efficacy and safety, and superior convenience.[ 8 ] [ 9 ] [ 10 ] Patients with cancer who have AF may be at higher risk of stroke and bleeding than AF patients who do not have cancer,[ 11 ] [ 12 ] but the role of NOACs in AF patients with cancer remains uncertain. Very few patients with cancer were included in trials comparing a NOAC with warfarin in AF,[ 3 ] and until recently treatment guidelines did not provide recommendations about the use of NOACs in this population.[ 13 ] In this issue of Thrombosis and Haemostasis, Cavallari and colleagues[ 14 ] report the results of a systematic review and meta-analysis of randomized ( n = 3) and observational ( n = 3) studies comparing the efficacy and safety of NOACs (rivaroxaban, edoxaban, or apixaban) with warfarin in the subgroup of AF of patients with cancer. The three randomized trials[ 15 ] [ 16 ] [ 17 ] included a combined total of 2,661 patients with AF and a history of cancer (mean age 75 years, males 69%, active cancer 37%) who were followed for a mean 2.2 years. The pooled analyses of these trials showed no significant differences between NOACs and warfarin for stroke or systemic embolism (2.8 vs. 4.0%, p = 0.11), VTE (0.8 vs. 0.9%, p = 0.86), mortality (16.1 vs. 15.6%, p = 0.93), or major bleeding (7.8 vs. 9.5%, p = 0.13), although NOACs were associated with significantly lower rates of intracranial hemorrhage (0.1 vs. 1.6%, p = 0.01). The three observational studies[ 18 ] [ 19 ] [ 20 ] included 21,112 patients with AF and a history of cancer (mean age 74 years, males 60%, proportion with active cancer not reported) who were followed for a mean of 1.6 years. The pooled analyses of these studies showed that NOACs compared with warfarin were associated with significantly lower rates of stroke or systemic embolism (2.3 vs. 10.3%, p < 0.0001), VTE (2.9 vs. 4.0%, p = 0.00001), and mortality (10.6 vs. 23.9%, p < 0.0001), but there were no significant differences in major bleeding (2.4 vs. 3.6%, p = 0.18) or intracranial hemorrhage (0.3 vs. 0.6%, p = 0.01). Pooling of data from the three randomized trials with data from the one observational study that reported outcomes separately in AF patients with and without cancer demonstrated that the rates of stroke or systemic embolism rates were similar (3.6 vs. 3.9%, p = 0.50), but cancer compared with noncancer patients had significantly higher rates of VTE (1.4 vs. 0.74%, p < 0.001), mortality (17.7 vs. 8.5%, p < 0.001), and major bleeding (9.0 vs. 5.1%, p < 0.001). The latter findings contrast with those of Deng and colleagues who restricted their analyses to data from randomized trials and found no difference in rates of stroke, major bleeding and death between AF patients with or without cancer.[ 21 ] The report by Cavallari and colleagues is one of the most comprehensive to date examining the effects of NOACs compared with warfarin in AF patients with cancer,[ 14 ] but we believe that the results should be cautiously interpreted. First, very large benefits of NOACs compared with warfarin were found in observational studies, but these are prone to confounding. It is unclear whether Cavallari and colleagues adjusted these analyses for potential confounders, but the 8% absolute reduction in stroke/systemic embolism and 13.3% absolute reduction in mortality with NOACs compared with VKAs are implausibly large. Second, although randomized trials generally provide higher quality evidence than observational studies, the three randomized trials involved only modest numbers of patients and events, resulting in wide confidence intervals. Third, the randomized trials excluded patients with reduced life expectancy, thereby presumably excluding patients with more advanced cancers. Restricting inclusion to patients with early-stage cancer, many of whom did not have active cancer at the time of enrolment, limits the applicably of the results. Despite our reservations about the data from observational studies, the totality of the evidence suggests that NOACs are a reasonable option in the majority of patients with cancer who require anticoagulation, including those with cancer who have AF. This conclusion reflects the consistent evidence presented by Cavallari and colleagues[ 14 ] from subgroups of patients with cancer in the AF trials,[ 15 ] [ 16 ] [ 17 ] and is further supported by the results of trials comparing NOACs and LMWH for the treatment of cancer-related VTE ([ Table 1 ]).[ 8 ] [ 9 ] [ 10 ] Similar results were reported from subgroups of cancer patients enrolled in trials comparing NOACs and warfarin for VTE treatment (EINSTEIN, Hokusai, RECOVER, AMPLIFY).[ 22 ] [ 23 ] [ 24 ] [ 25 ] Table 1 Randomized comparisons between nonvitamin K antagonist oral anticoagulants and standard treatment in patients with cancer and venous thromboembolism or with cancer and atrial fibrillation Patients with cancer and atrial fibrillation NOAC VKA HR (95% CI) Reference Events Patients Events Patients Stroke/systemic embolism ENGAGE AF-TIMI 48[ a ] 14 390 24 395 0.60 (0.31–1.15) [ 15 ] ARISTOTLE 15 615 14 621 1.09 (0.53–2.26) [ 16 ] ROCKET-AF 8 307[ b ] 16 329[ b ] 0.52 (0.22–1.21) [ 17 ] Major bleeding ENGAGE AF-TIMI 48[ a ] 56 390 63 395 0.98 (0.68–1.40) [ 15 ] ARISTOTLE 24 615 32 621 0.76 (0.45–1.29) [ 16 ] ROCKET-AF 23 309 33 331 0.71 (0.42–1.21) [ 17 ] Patients with cancer and venous thromboembolism NOAC LMWH HR (95% CI) Events Patients Events Patients Venous thromboembolism Hokusai-VTE cancer 41 522 59 524 0.71 (0.48–1.06) [ 8 ] SELECT-D 8 203 18 203 0.43 (0.19–0.99) [ 9 ] ADAM-VTE 1 145 9 142 0.10 (0.01–0.78) [ 10 ] Major bleeding Hokusai-VTE cancer 36 522 21 524 1.77 (1.03–3.04) [ 8 ] SELECT-D 11 203 6 203 1.83 (0.68–4.96) [ 9 ] ADAM-VTE 0 145 2 142 Not calculable[ c ] [ 10 ] Abbreviations: AF, atrial fibrillation; CI, confidence interval; HR, hazard ratio; LMWH, low molecular weight heparin; NOAC, nonvitamin K antagonist oral anticoagulant; VKA, vitamin K antagonist; VTE, venous thromboembolism. a Results reported on higher-dose edoxaban regimen (60 mg once-daily). b Efficacy outcome analyzed using the intention-to-treat population. c Not able to calculate as there were no events in the apixaban arm. Several issues remain unresolved. All of the NOACs are substrates of P-glycoprotein (P-gp), and both rivaroxaban and apixaban are metabolized via the CYP3A4 enzyme.[ 26 ] Many chemotherapeutic agents are substrates, inhibitors, or inducers of P-gp and/or CYP3A4, and their concomitant use with NOACs may increase or reduce anticoagulant blood levels, potentially leading to less than expected efficacy or safety.[ 13 ] [ 26 ] We recommend that clinicians consult relevant drug information before prescribing NOACs in cancer patients with AF undergoing chemotherapy. Clinicians should also be aware that trials in cancer patients with VTE have demonstrated that NOACs compared with warfarin produce more gastrointestinal (GI) bleeding in those with cancer of the GI tract.[ 8 ] [ 9 ] It is likely that this also applies in AF patients with cancer of the GI tract. Our conclusions are consistent with recently updated International Society on Thrombosis and Haemostasis guidelines suggesting that NOACs should be used in preference to warfarin in newlydiagnosed AF who have active cancer, except if the patients have GI cancer or history of GI-bleeding.[ 27 ] The guidelines do not recommend changing from one OAC to another in patients with AF undergoing cancer treatment unless there are potential drug-drug interactions that preclude the use of a particular agent. Letter to this article: Efficacy and Safety of Nonvitamin K Oral Anticoagulants in Patients with Atrial Fibrillation and Cancer: A Study-Level Meta-Analysis Thromb Haemost 2020; 120(02): 314-321 DOI: 10.1055/s-0039-3400300

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)0,009
score de la tête « metaresearch » (Gemma)0,026
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: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,009
Score d'incertitude au seuil0,048

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,026
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0060,015
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0040,003
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,111
Tête enseignante GPT0,347
Écart entre enseignants0,236 · 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
GenreCommentaire

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
Publié2020
Routes d'admission1
Résumé présentoui

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