Evidence map›Paper›PMID 38939591›Full record

ArticleJACC. Advances2023

Impact of Remote Cardiac Monitoring on Greenhouse Gas Emissions: Global Cardiovascular Carbon Footprint Project.

Danish Bawa, Adnan Ahmed, Douglas Darden, Rajesh Kabra, Jalaj Garg, Shanti Bansal, Eric Olsen, Donita Atkins, Anam Rahim, Nicholas Pham and 7 more

Abstract read
In one paragraph

Article in JACC. Advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Post-discharge digital self-management for acute coronary syndrome patients: A scenario-based design and implementation.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2025
    Article
  6. Review
  7. Carbon emissions and air pollution savings among telehealth visits for cardiology appointments.American heart journal plus : cardiology research and practice · 2024
    Article
  8. Article
  9. Article
  10. 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

17 authors.

Danish BawaKansas City Heart Rhythm Institute, Overland Park, Kansas, USA.
Adnan AhmedKansas City Heart Rhythm Institute, Overland Park, Kansas, USA.
Douglas DardenKansas City Heart Rhythm Institute, Overland Park, Kansas, USA.
Rajesh KabraKansas City Heart Rhythm Institute, Overland Park, Kansas, USA.
Jalaj GargDivision of Cardiology, Cardiac Arrhythmia Service, Loma Linda University Health, Loma Linda, California, USA.
Shanti BansalHouston Heart Rhythm and Octagos Health, Houston, Texas, USA.
Eric OlsenHouston Heart Rhythm and Octagos Health, Houston, Texas, USA.
Donita AtkinsKansas City Heart Rhythm Institute, Overland Park, Kansas, USA.
Anam RahimDivision of School of Nursing, University of Texas Medical Branch, Galveston, Texas, USA.
Nicholas PhamKansas City Heart Rhythm Institute, Overland Park, Kansas, USA.
Rakesh GopinathannairKansas City Heart Rhythm Institute, Overland Park, Kansas, USA.
Naga Venkata K PothineniKansas City Heart Rhythm Institute, Overland Park, Kansas, USA.
Peter ParkKansas City Heart Rhythm Institute, Overland Park, Kansas, USA.
Rangarao TummalaKansas City Heart Rhythm Institute, Overland Park, Kansas, USA.
Scott KoerberKansas City Heart Rhythm Institute, Overland Park, Kansas, USA.
Andrea NataleTexas Cardiac Arrhythmia Institute, Austin, Texas, USA.
Dhanunjaya LakkireddyKansas City Heart Rhythm Institute, Overland Park, Kansas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Remote monitoring (RM) of patients with cardiac implantable electronic devices (CIEDs) is efficient and requires fewer resources than conventional monitoring. However, the impact of RM on the carbon footprint (CF) is not known. Objectives: The authors sought to evaluate the reduction in cost and greenhouse gas (GHG) emissions with RM as compared to conventional monitoring of CIEDs and its relevance to CF. Methods: Data were obtained from a third-party RM provider on 32,811 patients from 67 device clinics across the United States. Distance from home address to the device clinic for patients on RM was calculated. Savings in total distance traveled over 2 years was calculated using frequency of follow-up required for the device type. National fuel efficiency data and carbon emission data were obtained from the Bureau of Transportation Statistics and U.S. Environmental Protective Agency, respectively. The average gas price during the study period was obtained from U.S. Energy Information Administration. Results: In the study population, RM resulted in a total saving of 31.7 million travel miles at $3.45 million and reduction of 12,518 metric ton of GHG from gasoline. There was a reduction of 14.2-million-page printouts, $3 million in cost, and 78 tons of GHG. Improvement in workforce efficiency with RM resulted in savings of $3.7 million. There was a net saving of $10.15 million and 12,596 tons of GHG emissions. Conclusions: RM of patients with a CIED resulted in significant reductions in GHG emissions. Efforts to actively promoting RM can result in significant reduction in CF.

Indexed as

carbon footprintcardiac implantable electronic devicesglobal warminggreenhouse gas emissionsremote monitoring

Identifiers

PMID38939591
PMCPMC11198686

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.