Evidence map›Paper›PMID 39582701›Full record

ArticleCJC open2024

Centre-Specific Variation in Atrial Fibrillation Ablation-Treatment Rates in a Universal Single-Payer Healthcare System.

Christina Seo, Sameer Kushwaha, Paul Angaran, Peter Gozdyra, Katherine S Allan, Husam Abdel-Qadir, Paul Dorian, Timothy C Y Chan

Abstract read
In one paragraph

Article in CJC open, 2024. 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
–field-weighted citation impact
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.

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

8 authors.

Christina SeoDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada.
Sameer KushwahaDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Paul AngaranDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Peter GozdyraICES, Toronto, Ontario, Canada.
Katherine S AllanDivision of Cardiology, St. Michael's Hospital, Toronto, Ontario, Canada.
Husam Abdel-QadirDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Paul DorianDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Timothy C Y ChanDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Disparities in atrial fibrillation ablation rates have been studied previously, with a focus on either patient characteristics or systems factors, rather than geographic factors. The impact of electrophysiology (EP) centre practice patterns on ablation rates has not been well studied. Methods: This population-based cohort study used linked administrative datasets covering physician billing codes, hospitalizations, prescriptions, and census data. The study population consisted of patients who visited an emergency department with a new diagnosis of atrial fibrillation, in the period 2007-2016, in Ontario, Canada. Patient characteristics, including age, sex, medical history, comorbidities, socioeconomic factors, closest EP centre within 20 km, and distance to the nearest centre, were used as predictors in multivariable logistic regression models to assess the relationship between living in a location around specific EP centres and ablation rates. Results: The cohort included 134,820 patients, of whom 9267 had an ablation treatment during the study period. Patients undergoing ablation treatment were younger, had a lower Conclusions: Living near specific EP centres may significantly affect a patient's likelihood of receiving ablation treatment, regardless of factors such as age, gender, socioeconomic status, prior medical history, and distance to EP centres.

Identifiers

PMID39582701
PMCPMC11583882

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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.