Evidence map›Paper›PMID 36255655›Full record

ReviewAmerican journal of cardiovascular drugs : drugs, devices, and other interventions2023

Novel Pulmonary Delivery of Drugs for the Management of Atrial Fibrillation.

Nazrul Islam, Emma Cichero, Shafiqur Rahman, Isuru Ranasinghe

Open access · hybridAbstract readReview
In one paragraph

Review in American journal of cardiovascular drugs : drugs, devices, and other interventions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 2 countries.

Nazrul IslamPharmacy Discipline, Faculty of Health, Queensland University of Technology, Brisbane, QLD, 4000, Australia. nazrul.islam@qut.edu.au.ORCID http://orcid.org/0000-0001-6751-6915
Emma CicheroFaculty of Health, School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, 4000, Australia.
Shafiqur RahmanDepartment of Pharmaceutical Sciences, Avera Health and Science Center, South Dakota State University, 1055 Campanile Avenue, SAV 265, Brookings, SD, 57007, USA.
Isuru RanasingheDepartment of Cardiology, The Prince Charles Hospital, Brisbane, Australia.
Queensland University of Technology · AUSouth Dakota State University · USThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia, affecting approximately 335 million patients worldwide. Comprehensive pharmacological treatment of AF includes medications for rate or rhythm control and anticoagulants to reduce the risk of thromboembolism; yet, these agents have significant limitations. Oral anti-arrhythmic agents have a slow onset of action, and rapid onset formulations require hospitalization for intravenous therapy. Orally administered drugs also require high doses to attain therapeutic levels, and thus dose-related severe adverse effects are often unavoidable. Given the therapeutic benefits of inhaled drug delivery, including rapid onset of action and very low doses to achieve therapeutic efficacy, this review will discuss the benefits of novel pulmonary delivery of drugs for the management of AF.

Indexed as

Atrial FibrillationThromboembolismAnti-Arrhythmia AgentsAnticoagulantsHumansPharmaceutical PreparationsAnti-Arrhythmia AgentsAnticoagulantsPharmaceutical Preparations

Identifiers

PMID36255655
PMCPMC9845156
OpenAlexW4306670817

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.