Evidence map›Paper›PMID 28471545›Full record

ArticleJournal of cardiovascular electrophysiology2017

Eleven-year trends of inpatient pacemaker implantation in patients diagnosed with sick sinus syndrome.

Avirup Guha, Xiao Xiang, Devin Haddad, Benjamin Buck, Xu Gao, Michael Dunleavy, Ellen Liu, Dilesh Patel, Vadim V Fedorov, Emile G Daoud

Open access · greenAbstract read
In one paragraph

Article in Journal of cardiovascular electrophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Avirup GuhaOhio State University Division of Cardiovascular Medicine, Columbus, Ohio, USA.ORCID http://orcid.org/0000-0003-0253-1174
Xiao XiangOhio State University Division of Epidemiology, College of Public Health, Columbus, Ohio, USA.
Devin HaddadOhio State University Division of Internal Medicine, Columbus, Ohio, USA.
Benjamin BuckOhio State University Division of Internal Medicine, Columbus, Ohio, USA.
Xu GaoOhio State University Division of Internal Medicine, Columbus, Ohio, USA.
Michael DunleavyOhio State University Division of Internal Medicine, Columbus, Ohio, USA.
Ellen LiuOhio State University Division of Internal Medicine, Columbus, Ohio, USA.
Dilesh PatelOhio State University Division of Cardiovascular Medicine, Columbus, Ohio, USA.
Vadim V FedorovOhio State University Department of Physiology and Cellular Biology, Columbus, Ohio, USA.
Emile G DaoudOhio State University Division of Cardiovascular Medicine, Columbus, Ohio, USA.
The Ohio State University · USOhio Department of Health · US

Funding

Integration of structure and signaling in cardiac pacemaker functionR01HL115580 · NHLBI · OHIO STATE UNIVERSITY · PI FEDOROV, VADIM V · 2013 to 2021
$4.2M
NHLBI NIH HHS R01 HL115580
6 · The paper itself

Abstract

backgroundPacemakers (PM) are used for managing sick sinus syndrome (SSS). This study evaluates predictors and trends of PM implantation for SSS.

methodsPatients were identified from the National Inpatient Sample dataset (2003-2013). Included patients were ≥18 years old, had a diagnosis of sinus node dysfunction and atrial arrhythmia (i.e., SSS). Patients who died, transferred out, who had prior device, or had a defibrillator or resynchronization therapy device implanted were excluded. Included patients were then stratified by if a PM was implanted. Data regarding SSS, trends of PM utilization, and multivariable models of factors associated with PM implantation are presented.

resultsNote that 328,670 patients satisfied study criteria. This study compared patients who underwent (87.4%) PM implantation to those who did not undergo (12.6%) PM implantation. The annual trends for hospitalization with SSS and PM placement have been decreasing (P <0.001). Variables associated with lower likelihood for PM implantation include young age, female sex, non-Caucasian race, chronic heart failure, Charlson Comorbidity Score ≥1, emergency room and weekend admission, hospital stay ≤3 days, and high cardiology inpatient volume. Greater likelihood for PM implantation was associated with hyperlipidemia, hypertension, and hospitals that were either private, large, Northeastern location, or with high cardiac procedural volume.

conclusionsAnalyzing 11-year data from a national inpatient database demonstrate a number of relevant variables that impact PM utilization that include not only clinical but also nonclinical variables such as socioeconomic status, gender, and hospital features. Racial and gender bias toward PM implantation are unchanged and persist through 2013.

Indexed as

AdolescentAdultAgedAged, 80 and overDatabases, FactualDefibrillators, ImplantableFemaleHospitalizationHumansMaleMiddle AgedMultivariate AnalysisPacemaker, ArtificialSick Sinus SyndromeTime FactorsYoung Adultatrial fibrillationhospitalizationpacemakerssick sinus syndrome

Identifiers

PMID28471545
PMCPMC5773286
OpenAlexW2611531061

What OpenQuestion holds

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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.