Evidence map›Paper›PMID 28710707›Full record

ArticleDrugs & aging2017

Prescription Patterns of Non-Vitamin K Oral Anticoagulants Across Indications and Factors Associated with Their Increased Prescribing in Atrial Fibrillation Between 2012-2015: A Study from the Norwegian Prescription Database.

Anna Maria Urbaniak, Bjørn Oddvar Strøm, Randi Krontveit, Kristin Helene Svanqvist

Abstract read
PubMed Publisher
In one paragraph

Article in Drugs & aging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Reimbursement and use of oral anticoagulants during 2014-2022 - A register-based study.Exploratory research in clinical and social pharmacy · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Review
  12. Review
  13. Article
  14. Inappropriate non-vitamin K antagonist oral anticoagulants prescriptions: be cautious with dose reductions.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2019
    Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Prescribing Trends of Oral Anticoagulants from 2010 to 2020 in Shanghai, China: A Retrospective Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

4 authors at 1 institution in 1 country.

Anna Maria UrbaniakHTA and Reimbursement Unit, The Norwegian Medicines Agency (NOMA), Strømsveien 96, 0663, Oslo, Norway. anna.m.urbaniak@gmail.com.
Bjørn Oddvar StrømHTA and Reimbursement Unit, The Norwegian Medicines Agency (NOMA), Strømsveien 96, 0663, Oslo, Norway.
Randi KrontveitHTA and Reimbursement Unit, The Norwegian Medicines Agency (NOMA), Strømsveien 96, 0663, Oslo, Norway.
Kristin Helene SvanqvistHTA and Reimbursement Unit, The Norwegian Medicines Agency (NOMA), Strømsveien 96, 0663, Oslo, Norway.
Norwegian Medicines Agency · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe studied prescription patterns for non-vitamin K oral anticoagulants (NOACs) in Norway between 2012 and 2015, and compared NOAC and warfarin patient characteristics such as age, gender and cardiovascular (CV) co-medications across reimbursed indications. Factors associated with NOAC prescribing in atrial fibrillation (AF) were also analysed.

methodsAll Norwegian patients (N = 156,124) who received at least one dispensed NOAC or warfarin prescription within the indications of AF, deep vein thrombosis and pulmonary embolism (DVT_PE) or prevention of venous thromboembolic events after a hip or knee surgery (VTE_surg) between 2012 and 2015 were included in the study. Descriptive statistics was applied to compare patient characteristics between NOACs and warfarin across indications and a logistic regression model was used to identify factors associated with NOAC prescribing in AF.

resultsNOACs and warfarin were most commonly prescribed in AF (83,729 patients in 2015), followed by DVT_PE (16,077 patients) and lastly in VTE_surg (4060 patients). In 2015, NOACs achieved a dominant (>50%) patient share over warfarin in AF and DVT_PE, and were prescribed in >80% of new oral anticoagulation (OAC) patients. Apixaban, despite its delayed market entry, emerged as the preferred NOAC in VTE_surg (46% share), whereas rivaroxaban captured a 43% patient share in DVT_PE. Warfarin patients were on average older and received more CV co-medication than NOAC patients in AF and DVT_PE. Age, gender and certain CV co-medications emerged as significant predictors of NOAC prescribing in AF. AF patients <70 years old had higher odds of NOAC prescribing (OR 1.19-1.29, depending on age category), in contrast to patients >74 years old (OR 0.51-0.77). Women had 32% higher odds of receiving a NOAC in AF.

conclusionNOACs achieved a dominant market share over warfarin within 3 years from receiving reimbursement in Norway. There were significant differences in patient characteristics between drugs and indications.

Indexed as

Administration, OralAgedAged, 80 and overAnticoagulantsAtrial FibrillationDatabases, FactualDrug PrescriptionsFemaleHumansMaleMiddle AgedNorwayPractice Patterns, Physicians'ThromboembolismWarfarinAnticoagulantsWarfarin

Identifiers

PMID28710707
OpenAlexW2734695153

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.