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

Oral Anticoagulant Treatment in Patients with Atrial Fibrillation and Cancer

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

Bibliographic record

VenueThrombosis and Haemostasis · 2020
Typeletter
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
FundersDaiichi-SankyoServierSanofiPfizerEli Lilly and Company
KeywordsMedicineAtrial fibrillationOral anticoagulantInternal medicineCancerCardiologyAnticoagulantAnticoagulant therapyThrombosisWarfarin

Abstract

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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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.015
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.111
GPT teacher head0.347
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2020
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