Evidence map›Paper›PMID 37898954›Full record

SynthesisApplied health economics and health policy2024

Methods for Economic Evaluations of Novel Oral Anticoagulants in Patients with Atrial Fibrillation: A Systematic Review.

Yan Li, Pingyu Chen, Xintian Wang, Qian Peng, Shixia Xu, Aixia Ma, Hongchao Li

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Applied health economics and health policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Yan LiSchool of International Pharmaceutical Business, China Pharmaceutical University, No. 639 Longmian Avenue, Nanjing, 211198, Jiangsu, China.
Pingyu ChenSchool of International Pharmaceutical Business, China Pharmaceutical University, No. 639 Longmian Avenue, Nanjing, 211198, Jiangsu, China.
Xintian WangSchool of International Pharmaceutical Business, China Pharmaceutical University, No. 639 Longmian Avenue, Nanjing, 211198, Jiangsu, China.
Qian PengSchool of International Pharmaceutical Business, China Pharmaceutical University, No. 639 Longmian Avenue, Nanjing, 211198, Jiangsu, China.
Shixia XuSchool of Pharmacy, Wannan Medical College, Wuhu, China.
Aixia MaSchool of International Pharmaceutical Business, China Pharmaceutical University, No. 639 Longmian Avenue, Nanjing, 211198, Jiangsu, China. aixiama73@126.com.
Hongchao LiSchool of International Pharmaceutical Business, China Pharmaceutical University, No. 639 Longmian Avenue, Nanjing, 211198, Jiangsu, China. lihongchao@cpu.edu.cn.ORCID 0000-0001-5151-9724
China Pharmaceutical University · CNWannan Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is a severe epidemiological and public health concern among the elderly population worldwide, with substantial economic and social burdens. Economic evaluations can play an essential role in optimizing the utilization of scarce resources. In recent years, the number of economic evaluation studies related to AF has increased due to the rising number of AF patients, the continuous updating of clinical data, and the emergence of real-world evidence. However, there are still deficiencies in model settings and parameter sources in relevant studies.

objectiveThis study aims to review the existing economic evaluations of novel oral anticoagulants (NOACs) in patients with AF and summarize the evidence and methods applied.

methodsA comprehensive and systematic search was conducted on electronic databases, including PubMed, Embase, Web of Science (WOS), and The Cochrane Library, from the date of database creation to November 2022. The reporting quality of included literature was assessed using the Consolidated Health Economic Evaluation Reporting Standards 2022 (CHEERS 2022) statement.

resultsA total of 102 studies were included in the review, with 200 comparisons between NOACs and vitamin K antagonists (VKAs), as well as 58 comparisons between different NOACs. The healthcare sector and payer perspectives were the most common, and accordingly, the majority of the evaluations considered only direct medical costs. Most studies used Markov cohort models with the number of health states ranging from 4 to 29. Of included studies, 80 (78%) considered event recurrence and complications, and 78 (76%) considered discontinuation and second-line therapy. All of the studies applied uncertainty analysis to explore the robustness of the results. Of all 200 NOACs-VKAs comparisons, 149 (75%) showed that NOACs were more cost-effective; this proportion was 84% (139 out of 165) in high-income countries but decreased to 29% (10 out of 35) in middle- and low-income countries. Most (82%) of the 28 items in the CHEERS 2022 checklist were elucidated in the majority of included studies. A minority (only 39%) of included studies demonstrated high reporting quality.

conclusionNOACs may be more cost-effective than VKAs in patients with AF, but this conclusion applies to high-income countries, whereas VKAs may be more cost-effective in middle- and low-income countries. The reporting quality of included studies was variable, and certain methodological issues were presented. This study highlights the economic evaluation methodology of NOACs in patients with AF and provides recommendations for modeling methods and future studies.

Indexed as

AnticoagulantsAtrial FibrillationAdministration, OralAgedCost-Benefit AnalysisHumansStrokeAnticoagulants

Identifiers

PMID37898954
OpenAlexW4388011323

What OpenQuestion holds

Textmetadata
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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.