Evidence map›Paper›PMID 36654723›Full record

ReviewResuscitation plus2023

Current summary of the evidence in drone-based emergency medical services care.

Nathan B Roberts, Emily Ager, Thomas Leith, Isabel Lott, Marlee Mason-Maready, Tyler Nix, Adam Gottula, Nathaniel Hunt, Christine Brent

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Resuscitation plus, 2023. 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
23.6field-weighted citation impact, top 1% 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, 68 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Unmanned aerial vehicles and pre-hospital emergency medicine.Scandinavian journal of trauma, resuscitation and emergency medicine · 2024
    Review
  14. Article
  15. 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

9 authors at 2 institutions in 1 country.

Nathan B RobertsUniversity of Michigan Department of Emergency Medicine, University of Michigan Medical School, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5305, USA.
Emily AgerUniversity of Michigan Department of Emergency Medicine, University of Michigan Medical School, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5305, USA.
Thomas LeithUniversity of Michigan Medical School, 7300 Medical Science Building I-A Wing, 1301 Catherine St, Ann Arbor, MI 48109, USA.
Isabel LottUniversity of Michigan Medical School, 7300 Medical Science Building I-A Wing, 1301 Catherine St, Ann Arbor, MI 48109, USA.
Marlee Mason-MareadyOakland University William Beaumont School of Medicine, 586 Pioneer Dr, Rochester, MI 48309, USA.
Tyler NixUniversity of Michigan, Taubman Health Sciences Library, University of Michigan, Ann Arbor, MI 48109, USA.
Adam GottulaUniversity of Michigan Department of Emergency Medicine, University of Michigan Medical School, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5305, USA.
Nathaniel HuntUniversity of Michigan Department of Emergency Medicine, University of Michigan Medical School, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5305, USA.
Christine BrentUniversity of Michigan Department of Emergency Medicine, University of Michigan Medical School, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5305, USA.
University of Michigan–Ann Arbor · USPioneer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interventions for many medical emergencies including cardiac arrests, strokes, drug overdoses, seizures, and trauma, are critically time-dependent, with faster intervention leading to improved patient outcomes. Consequently, a major focus of emergency medical services (EMS) systems and prehospital medicine has been improving the time until medical intervention in these time-sensitive emergencies, often by reducing the time required to deliver critical medical supplies to the scene of the emergency. Medical indications for using unmanned aerial vehicles, or drones, are rapidly expanding, including the delivery of time-sensitive medical supplies. To date, the drone-based delivery of a variety of time-critical medical supplies has been evaluated, generating promising data suggesting that drones can improve the time interval to intervention through the rapid delivery of automatic external defibrillators (AEDs), naloxone, antiepileptics, and blood products. Furthermore, the improvement in the time until intervention offered by drones in out-of-hospital emergencies is likely to improve patient outcomes in time-dependent medical emergencies. However, barriers and knowledge gaps remain that must be addressed. Further research demonstrating functionality in real-world scenarios, as well as research that integrates drones into the existing EMS structure will be necessary before drones can reach their full potential. The primary aim of this review is to summarize the current evidence in drone-based Emergency Medical Services Care to help identify future research directions.

Indexed as

Anti-EpilepticsAutomated external defibrillatorsCardiac arrestDefibrillationDroneEmergency Medical ServicesEMSNaloxoneOut-of-hospital cardiac arrestsPrehospital medicineUnmanned Aerial Vehicles

Identifiers

PMID36654723
PMCPMC9841214
OpenAlexW4313576043

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.