Evidence map›Paper›PMID 37410461›Full record

ArticleJAMA network open2023

Association of Direct Oral Anticoagulation Management Strategies With Clinical Outcomes for Adults With Atrial Fibrillation.

Catherine G Derington, Glenn K Goodrich, Stanley Xu, Nathan P Clark, Kristi Reynolds, Jaejin An, Daniel M Witt, David H Smith, Maureen O'Keeffe-Rosetti, Daniel T Lang and 4 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
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

14 authors at 7 institutions in 1 country.

Catherine G DeringtonIntermountain Healthcare Department of Population Health Sciences, Spencer Fox Eccles University of Utah School of Medicine, Salt Lake City.
Glenn K GoodrichInstitute for Health Research, Kaiser Permanente Colorado, Denver.
Stanley XuDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena.
Nathan P ClarkDepartment of Pharmacy, Kaiser Permanente Colorado, Aurora.
Kristi ReynoldsDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena.
Jaejin AnDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena.
Daniel M WittDepartment of Pharmacotherapy, University of Utah College of Pharmacy, Salt Lake City.
David H SmithCenter for Health Research, Kaiser Permanente Northwest, Portland, Oregon.
Maureen O'Keeffe-RosettiCenter for Health Research, Kaiser Permanente Northwest, Portland, Oregon.
Daniel T LangSouthern California Permanente Medical Group, Los Angeles.
P Michael HoDivision of Cardiology, University of Colorado Anschutz Medical Campus, Aurora.
T Craig CheethamChapman University School of Pharmacy, Irvine, California.
Angela C ComerInstitute for Health Research, Kaiser Permanente Colorado, Denver.
Jordan B KingIntermountain Healthcare Department of Population Health Sciences, Spencer Fox Eccles University of Utah School of Medicine, Salt Lake City.
Kaiser Permanente · USKaiser Permanente Center for Health Research · USChapman University · USIntermountain Healthcare · USLos Angeles Medical Center · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Utah · US

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
NCATS NIH HHS UL1 TR002538NCATS NIH HHS UM1 TR004409
6 · The paper itself

Abstract

Importance: Anticoagulation management services (AMSs; ie, warfarin clinics) have evolved to include patients treated with direct oral anticoagulants (DOACs), but it is unknown whether DOAC therapy management services improve outcomes for patients with atrial fibrillation (AF). Objective: To compare outcomes associated with 3 DOAC care models for preventing adverse anticoagulation-related outcomes among patients with AF. Design, Setting, and Participants: This retrospective cohort study included 44 746 adult patients with a diagnosis of AF who initiated oral anticoagulation (DOAC or warfarin) between August 1, 2016, and December 31, 2019, in 3 Kaiser Permanente (KP) regions. Statistical analysis was conducted from August 2021 through May 2023. Exposures: Each KP region used an AMS to manage warfarin but used distinct approaches to DOAC care: (1) usual care (UC) by the prescribing clinician, (2) UC plus an automated population management tool (PMT), or (3) pharmacist-managed AMS care. Propensity scores and inverse probability of treatment weights (IPTWs) were estimated. Direct oral anticoagulant care models were first indirectly compared using warfarin as a common comparator within each region and then directly compared across regions. Main Outcomes and Measures: Patients were followed up until the first occurrence of an outcome (composite of thromboembolic stroke, intracranial hemorrhage, other major bleeding, or death), discontinuation of KP membership, or December 31, 2020. Results: Overall, 44 746 patients were included: 6182 in the UC care model (3297 DOAC; 2885 warfarin), 33 625 in the UC plus PMT care model (21 891 DOAC; 11 734 warfarin), and 4939 in the AMS care model (2089 DOAC; 2850 warfarin). Baseline characteristics (mean [SD] age, 73.1 [10.6] years, 56.1% male, 67.2% non-Hispanic White, median CHA2DS2-VASc [congestive heart failure, hypertension, age ≥75 years, diabetes, stroke, vascular disease, age 65-74 years, female sex] score of 3 [IQR, 2-5]) were well balanced after IPTW. Over a median follow-up of 2 years, patients who received the UC plus PMT or AMS care model did not have significantly better outcomes than those who received UC. The incidence rate of the composite outcome was 5.4% per year for DOAC and 9.1% per year for warfarin for those in the UC group, 6.1% per year for DOAC and 10.5% per year for those in the UC plus PMT group, and 5.1% per year for DOAC and 8.0% per year for those in the AMS group. The IPTW-adjusted hazard ratios (HRs) for the composite outcome comparing DOAC vs warfarin were 0.91 (95% CI, 0.79-1.05) in the UC group, 0.85 (95% CI, 0.79-0.90) in the UC plus PMT group, and 0.84 (95% CI, 0.72-0.99) in the AMS group (P = .62 for heterogeneity across care models). When directly comparing patients receiving DOAC, the IPTW-adjusted HR was 1.06 (95% CI, 0.85-1.34) for the UC plus PMT group vs the UC group and 0.85 (95% CI, 0.71-1.02) for the AMS group vs the UC group. Conclusions and Relevance: This cohort study did not find appreciably better outcomes for patients receiving DOAC who were managed by either a UC plus PMT or AMS care model compared with UC.

Indexed as

Atrial FibrillationStrokeAdultAgedAnticoagulantsCohort StudiesFemaleHumansMaleRetrospective StudiesWarfarinAnticoagulantsWarfarin

Identifiers

PMID37410461
PMCPMC10326649
OpenAlexW4383301668

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.