Evidence map›Paper›PMID 25907124›Full record

ArticleJournal of the American Heart Association2015

Identifying predictors of cumulative healthcare costs in incident atrial fibrillation: a population-based study.

Maria C Bennell, Feng Qiu, Andrew Micieli, Dennis T Ko, Paul Dorian, Clare L Atzema, Sheldon M Singh, Harindra C Wijeysundera

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

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

  1. Guideline
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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 at 5 institutions in 1 country.

Maria C BennellDivision of Cardiology, Schulich Heart Centre and Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada (M.C.B., D.T.K., S.M.S., H.C.W.).
Feng QiuInstitute for Clinical Evaluative Sciences (ICES), Toronto, Ontario, Canada (F.Q., D.T.K., H.C.W.).
Andrew MicieliFaculty of Medicine, University of Ottawa, Ontario, Canada (A.M.).
Dennis T KoDivision of Cardiology, Schulich Heart Centre and Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada (M.C.B., D.T.K., S.M.S., H.C.W.) Institute for Clinical Evaluative Sciences (ICES), Toronto, Ontario, Canada (F.Q., D.T.K., H.C.W.) Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, Ontario, Canada (D.T.K., P.D., H.C.W.).
Paul DorianLi Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, Ontario, Canada (D.T.K., P.D., H.C.W.) Division of Cardiology and Department of Medicine, St Michael's Hospital, University of Toronto, Ontario, Canada (P.D.).
Clare L AtzemaTrauma, Emergency and Critical Care Research Program, Sunnybrook Research Institute, University of Toronto, Ontario, Canada (C.L.A.) Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada (C.L.A., H.C.W.).
Sheldon M SinghDivision of Cardiology, Schulich Heart Centre and Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada (M.C.B., D.T.K., S.M.S., H.C.W.).
Harindra C WijeysunderaDivision of Cardiology, Schulich Heart Centre and Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada (M.C.B., D.T.K., S.M.S., H.C.W.) Institute for Clinical Evaluative Sciences (ICES), Toronto, Ontario, Canada (F.Q., D.T.K., H.C.W.) Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, Ontario, Canada (D.T.K., P.D., H.C.W.) Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada (C.L.A., H.C.W.).
Sunnybrook Health Science Centre · CAHealth Sciences Centre · CAInstitute for Clinical Evaluative Sciences · CAUniversity of Ottawa · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) has substantial impacts on healthcare resource utilization. Our objective was to understand the pattern and predictors of cumulative healthcare costs in AF patients after incident diagnosis in an emergency department (ED). METHODS AND

resultsPatients discharged after a first presentation of AF to an ED in Ontario, Canada, were identified from April 1, 2005, through March 31, 2010. Per-patient cumulative healthcare costs were determined until death or March 31, 2012. Join-point analyses identified clinically relevant cost phases. Hierarchical generalized linear models with a logarithmic link and gamma distribution determined predictors of cost per phase. Our cohort was 17 980 patients. During a mean follow-up of 3.9 years, 17.1% of patients died. Three distinct cost phases were identified: 2-month post-index ED visit phase, 12-month predeath phase, and a stable/chronic phase. The mean cost per patient in the first month post-index ED visit was $1876 (95% CI $1822 to $1931), $8050 (95% CI $7666 to $8434) in the month before death, and $640 (95% CI $624 to $655) per month for the stable/chronic phase. The main cost component in the post-index phase was physician services (32% of all costs) and hospitalizations for the predeath phase (72% of all costs). The CHA2DS2-VASc clinical risk score was a strong predictor of costs (rate ratio 1.91 and 5.08 for score of 7 versus score of 0 in predeath phase and postindex phase, respectively).

conclusionsThere are distinct phases of resource utilization in AF, with highest costs in the predeath phase.

Indexed as

AgedAtrial FibrillationEmergency Service, HospitalFemaleHealth Care CostsHospital CostsHospitalizationHumansMaleMiddle AgedOntarioarrhythmiaatrial fluttercost‐benefit analysisfibrillation

Identifiers

PMID25907124
PMCPMC4579933
OpenAlexW2155521800

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.