Evidence map›Paper›PMID 30212268›Full record

ArticleJournal of managed care & specialty pharmacy2018

Real-World Comparative Effectiveness, Safety, and Health Care Costs of Oral Anticoagulants in Nonvalvular Atrial Fibrillation Patients in the U.S. Department of Defense Population.

Kiran Gupta, Jeffrey Trocio, Allison Keshishian, Qisu Zhang, Oluwaseyi Dina, Jack Mardekian, Lisa Rosenblatt, Xianchen Liu, Shalini Hede, Anagha Nadkarni and 1 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
3.9field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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  11. Can Machine Learning from Real-World Data Support Drug Treatment Decisions? A Prediction Modeling Case for Direct Oral Anticoagulants.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Kiran Gupta1 Bristol-Myers Squibb, Lawrenceville, New Jersey.
Jeffrey Trocio2 Pfizer, New York City, New York.
Allison Keshishian4 STATinMED Research, Ann Arbor, Michigan.
Qisu Zhang4 STATinMED Research, Ann Arbor, Michigan.
Oluwaseyi Dina2 Pfizer, New York City, New York.
Jack Mardekian2 Pfizer, New York City, New York.
Lisa Rosenblatt1 Bristol-Myers Squibb, Lawrenceville, New Jersey.
Xianchen Liu3 Pfizer, New York City, New York, and the University of Tennessee Health Science Center, Memphis.
Shalini Hede1 Bristol-Myers Squibb, Lawrenceville, New Jersey.
Anagha Nadkarni1 Bristol-Myers Squibb, Lawrenceville, New Jersey.
Tom Shank2 Pfizer, New York City, New York.
Bristol-Myers Squibb (United States) · USPfizer (United States) · USSTATinMED (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ARISTOTLE trial demonstrated that apixaban had significantly lower rates of stroke/systemic embolism (SE) and major bleeding than warfarin; however, no direct clinical trials between apixaban and other direct oral anticoagulants (DOACs) are available. Few real-world studies comparing the effectiveness and safety between DOACs have been conducted.

objectiveTo compare effectiveness, safety, and health care costs among oral anticoagulants (OACs) for nonvalvular atrial fibrillation (NVAF) patients in the U.S. Department of Defense (DoD) population.

methodsAdult NVAF patients initiating warfarin or DOACs (apixaban, rivaroxaban, and dabigatran) were selected from U.S. DoD data from January 1, 2013, to September 30, 2015. The first OAC claim date was designated as the index date. Patients initiating another OAC were matched 1:1 to apixaban patients using propensity score matching to balance demographics and clinical characteristics. Cox proportional hazards models were used to estimate the risk of stroke/SE and major bleeding for each OAC versus apixaban. Generalized linear and two-part models with bootstrapping were used to compare all-cause health care costs and stroke/SE-related and major bleeding-related medical costs.

resultsOf the 41,001 eligible patients, 7,607 warfarin-apixaban, 4,129 dabigatran-apixaban, and 11,284 rivaroxaban-apixaban pairs were matched. Warfarin (HR = 1.84; 95% CI = 1.30-2.59; P < 0.001) and rivar-oxaban (HR = 1.46; 95% CI = 1.08-1.98; P = 0.015) were associated with a significantly higher risk of stroke/SE compared with apixaban. Dabigatran (HR = 1.17; 95% CI = 0.68-2.03; P = 0.573) was associated with a numerically higher risk of stroke/SE compared with apixaban. Warfarin (HR = 1.53; 95% CI = 1.24-1.89; P < 0.001), dabigatran (HR = 1.76; 95% CI = 1.27-2.43; P < 0.001), and rivaroxaban (HR = 1.59; 95% CI = 1.34-1.89; P < 0.001) were associated with higher risks of major bleeding compared with apixaban. Compared with apixaban, patients prescribed warfarin incurred numerically higher all-cause total health care costs per patient per month (PPPM) ($2,498 vs. $2,277; P = 0.148) and significantly higher stroke/SE-related ($118 vs. $46; P = 0.012) and major bleeding-related ($166 vs. $76; P = 0.003) medical costs. Dabigatran patients incurred numerically higher all-cause total health care PPPM costs ($2,372 vs. $2,143; P = 0.150) and stroke/SE-related medical costs ($61 vs. $32; P = 0.240) but significantly higher major bleeding-related costs ($114 vs. $58; P = 0.025). Rivaroxaban patients incurred significantly higher all-cause total health care costs ($2,546 vs. $2,200; P < 0.001) and major bleeding-related medical costs PPPM ($137 vs. $69; P < 0.001) but numerically higher stroke/SE-related medical costs PPPM ($58 vs. $38; P = 0.057).

conclusionsAmong NVAF patients in the U.S. DoD population, warfarin and rivaroxaban were associated with a significantly higher risk of stroke/SE and major bleeding compared with apixaban. Dabigatran use was associated with a numerically higher risk of stroke/SE and a significantly higher risk of major bleeding compared with apixaban. Warfarin and dabigatran incurred numerically higher all-cause total health care costs compared with apixaban. Rivaroxaban was associated with significantly higher all-cause total health care costs compared with apixaban. DISCLOSURES This study was funded by Bristol-Myers Squibb and Pfizer, which were involved in the study design, as well as in the writing and revision of the manuscript. Keshishian and Zhang are paid employees of STATinMED Research, which was paid by Bristol-Myers Squibb and Pfizer to conduct this study and develop the manuscript. Gupta, Rosenblatt, Hede, and Nadkarni are paid employees of Bristol-Myers Squibb. Trocio, Dina, Mardekian, Liu, and Shank are paid employees of Pfizer.

Indexed as

Health Care CostsAdministration, OralAdultAgedAnticoagulantsAtrial FibrillationDelivery of Health CareEmbolismFemaleHemorrhageHumansIncidenceMaleMiddle AgedPropensity ScoreRetrospective StudiesAnticoagulants

Identifiers

PMID30212268
PMCPMC10398049
OpenAlexW2892188073

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.