Evidence map›Paper›PMID 32814479›Full record

Trial reportJournal of the American Heart Association2020

Effect of Optimized Versus Guidelines-Based Automated External Defibrillator Placement on Out-of-Hospital Cardiac Arrest Coverage: An In Silico Trial.

Christopher L F Sun, Lena Karlsson, Laurie J Morrison, Steven C Brooks, Fredrik Folke, Timothy C Y Chan

Open access · goldAbstract readClinical TrialComparative Study
In one paragraph

Trial report in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Strategic PAD positioning: a scoping review.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Constrained Optimization for Decision Making in Health Care Using Python: A Tutorial.Medical decision making : an international journal of the Society for Medical Decision Making
    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

6 authors at 4 institutions in 3 countries.

Christopher L F SunSloan School of Management Massachusetts Institute of Technology Cambridge MA.
Lena KarlssonDepartment of Cardiology Copenhagen University Hospital Herlev and Gentofte Copenhagen Denmark.
Laurie J MorrisonDivision of Emergency Medicine Department of Medicine University of Toronto Canada.
Steven C BrooksRescu Li Ka Shing Knowledge Institute St. Michael's Hospital Toronto Canada.
Fredrik FolkeHealthcare Systems Engineering Massachusetts General Hospital Boston MA.
Timothy C Y ChanRescu Li Ka Shing Knowledge Institute St. Michael's Hospital Toronto Canada.
St. Michael's Hospital · CAGentofte Hospital · DKMassachusetts General Hospital · USUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Mathematical optimization of automated external defibrillator (AED) placement may improve AED accessibility and out-of-hospital cardiac arrest (OHCA) outcomes compared with American Heart Association (AHA) and European Resuscitation Council (ERC) placement guidelines. We conducted an in silico trial (simulated prospective cohort study) comparing mathematically optimized placements with placements derived from current AHA and ERC guidelines, which recommend placement in locations where OHCAs are usually witnessed. Methods and Results We identified all public OHCAs of presumed cardiac cause from 2008 to 2016 in Copenhagen, Denmark. For the control, we computationally simulated placing 24/7-accessible AEDs at every unique, public, witnessed OHCA location at monthly intervals over the study period. The intervention consisted of an equal number of simulated AEDs placements, deployed monthly, at mathematically optimized locations, using a model that analyzed historical OHCAs before that month. For each approach, we calculated the number of OHCAs in the study period that occurred within a 100-m route distance based on Copenhagen's road network of an available AED after it was placed ("OHCA coverage"). Estimated impact on bystander defibrillation and 30-day survival was calculated by multivariate logistic regression. The control scenario involved 393 AEDs at historical, public, witnessed OHCA locations, covering 15.8% of the 653 public OHCAs from 2008 to 2016. The optimized locations provided significantly higher coverage (24.2%;

Indexed as

AgedAmerican Heart AssociationBystander EffectCardiopulmonary ResuscitationComputer SimulationDefibrillatorsDenmarkFemaleGuidelines as TopicHealth Services AccessibilityHumansMaleMiddle AgedModels, TheoreticalOutcome Assessment, Health CareOut-of-Hospital Cardiac Arrestautomated external defibrillatorguidelinesoptimizationout‐of‐hospital cardiac arrestpublic access defibrillation

Identifiers

PMID32814479
PMCPMC7660789
OpenAlexW3081228078

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.