Evidence map›Paper›PMID 38529632›Full record

ArticleCirculation. Cardiovascular quality and outcomes2024

Incorporation of Drone Technology Into the Chain of Survival for OHCA: Estimation of Time Needed for Bystander Treatment of OHCA and CPR Performance.

Monique A Starks, Audrey L Blewer, Christine Chow, Edward Sharpe, Lee Van Vleet, Evan Arnold, Daniel M Buckland, Anjni Joiner, Denise Simmons, Cynthia L Green and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Circulation. Cardiovascular quality and outcomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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  5. Review
  6. Article
  7. Drones for Saving Life: Reimagining War Technology.Circulation. Cardiovascular quality and outcomes · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 2 countries.

Monique A StarksDepartment of Medicine, Duke University School of Medicine, Durham, NC (M.A.S.., D.B.M.).ORCID 0000-0003-4719-399X
Audrey L BlewerDepartment of Family Medicine and Community Health, Duke University School of Medicine, Durham, NC (A.L.B).ORCID 0000-0003-2830-5191
Christine ChowDepartment of Medicine, Duke University School of Medicine, Durham, NC (M.A.S.., D.B.M.).
Edward SharpePatient Survivor and Researcher, Durham, NC (E.S.).
Lee Van VleetDurham County EMS, NC (L.V.V., A.J.).
Evan ArnoldInstitute for Transportation Research and Education, North Carolina State University, Raleigh, NC (E.A.).ORCID 0000-0002-7725-9067
Daniel M BucklandDepartment of Emergency Medicine Duke University School of Medicine, Durham, NC (D.M.B.,A.J.).ORCID 0000-0001-5274-3840
Anjni JoinerDepartment of Emergency Medicine Duke University School of Medicine, Durham, NC (D.M.B.,A.J.).ORCID 0000-0002-8907-182X
Denise SimmonsDuke Office of Clinical Research, Duke University School of Medicine, Durham, NC (D.S.).ORCID 0000-0002-9117-4430
Cynthia L GreenDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC (C.L.G).ORCID 0000-0002-0186-5191
Daniel B MarkDepartment of Medicine, Duke University School of Medicine, Durham, NC (M.A.S.., D.B.M.).ORCID 0000-0001-6340-8087
Duke University · USNorth Carolina State University · USDurham County Department of Public Health · USEdward Hospital · US

Funding

Building Interdisciplinary Research Careers in Women's Health (K12) - Administrative SupplementK12AR084231 · NIAMS · DUKE UNIVERSITY · PI Cindy Amundsen · 2023 to 2026
$2.5M
Evaluation of the Requirements and Critical Features of a Drone-Deployed AED Network to Improve Community-Level Survival after OHCAK23HL153889 · NHLBI · DUKE UNIVERSITY · PI STARKS, MONIQUE ANDERSON · 2020 to 2024
$833k
NHLBI NIH HHS K23 HL153889NIAMS NIH HHS K12 AR084231
6 · The paper itself

Abstract

backgroundDrone-delivered automated external defibrillators (AEDs) hold promises in the treatment of out-of-hospital cardiac arrest. Our objective was to estimate the time needed to perform resuscitation with a drone-delivered AED and to measure cardiopulmonary resuscitation (CPR) quality.

methodsMock out-of-hospital cardiac arrest simulations that included a 9-1-1 call, CPR, and drone-delivered AED were conducted. Each simulation was timed and video-recorded. CPR performance metrics were recorded by a Laerdal Resusci Anne Quality Feedback System. Multivariable regression modeling examined factors associated with time from 9-1-1 call to AED shock and CPR quality metrics (compression rate, depth, recoil, and chest compression fraction). Comparisons were made among those with recent CPR training (≤2 years) versus no recent (>2 years) or prior CPR training.

resultsWe recruited 51 research participants between September 2019 and March 2020. The median age was 34 (Q1-Q3, 23-54) years, 56.9% were female, and 41.2% had recent CPR training. The median time from 9-1-1 call to initiation of CPR was 1:19 (Q1-Q3, 1:06-1:26) minutes. A median time of 1:59 (Q1-Q3, 01:50-02:20) minutes was needed to retrieve a drone-delivered AED and deliver a shock. The median CPR compression rate was 115 (Q1-Q3, 109-124) beats per minute, the correct compression depth percentage was 92% (Q1-Q3, 25-98), and the chest compression fraction was 46.7% (Q1-Q3, 39.9%-50.6%). Recent CPR training was not associated with CPR quality or time from 9-1-1 call to AED shock. Younger age (per 10-year increase; β, 9.97 [95% CI, 4.63-15.31] s;

conclusionResearch participants were able to rapidly retrieve an AED from a drone while largely maintaining CPR quality according to American Heart Association guidelines. Chest compression fraction was lower than expected.

Indexed as

Cardiopulmonary ResuscitationEmergency Medical ServicesOut-of-Hospital Cardiac ArrestAdultDefibrillatorsElectric CountershockFemaleHumansMaleUnmanned Aerial Devicescardiopulmonary resuscitationdefibrillatorshumansout-of-hospital cardiac arrestunmanned aerial devices

Identifiers

PMID38529632
PMCPMC11127748
OpenAlexW4393355684

What OpenQuestion holds

Textmetadata
LicenceTDM
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.