Evidence map›Paper›PMID 32151218›Full record

ArticleJournal of the American Heart Association2020

Mechanical, Team-Focused, Video-Reviewed Cardiopulmonary Resuscitation Improves Return of Spontaneous Circulation After Emergency Department Implementation.

Daniel M Rolston, Timmy Li, Casey Owens, Ghania Haddad, Timothy J Palmieri, Veronika Blinder, Jennifer L Wolff, Michael Cassara, Qiuping Zhou, Lance B Becker

Open access · goldAbstract read
In one paragraph

Article 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 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Article
  4. Video Review of Cardiac Arrest: A Scoping Review.Journal of the American College of Emergency Physicians open · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Data-driven resuscitation training using pose estimation.Advances in simulation (London, England) · 2023
    Article
  16. Article
  17. 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

10 authors at 3 institutions in 1 country.

Daniel M RolstonDepartment of Emergency Medicine Donald and Barbara Zucker School of Medicine at Hofstra/Northwell Manhasset NY.
Timmy LiDepartment of Emergency Medicine Donald and Barbara Zucker School of Medicine at Hofstra/Northwell Manhasset NY.
Casey OwensDepartment of Emergency Medicine North Shore University Hospital Northwell Health Manhasset NY.
Ghania HaddadDepartment of Emergency Medicine North Shore University Hospital Northwell Health Manhasset NY.
Timothy J PalmieriDepartment of Emergency Medicine Donald and Barbara Zucker School of Medicine at Hofstra/Northwell Manhasset NY.
Veronika BlinderDepartment of Emergency Medicine Donald and Barbara Zucker School of Medicine at Hofstra/Northwell Manhasset NY.
Jennifer L WolffDepartment of Emergency Medicine Donald and Barbara Zucker School of Medicine at Hofstra/Northwell Manhasset NY.
Michael CassaraDepartment of Emergency Medicine Donald and Barbara Zucker School of Medicine at Hofstra/Northwell Manhasset NY.
Qiuping ZhouDepartment of Emergency Medicine Donald and Barbara Zucker School of Medicine at Hofstra/Northwell Manhasset NY.
Lance B BeckerDepartment of Emergency Medicine Donald and Barbara Zucker School of Medicine at Hofstra/Northwell Manhasset NY.
Northwell Health · USHofstra University · USDonald & Barbara Zucker School of Medicine at Hofstra/Northwell · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Outcomes in cardiac arrest remain suboptimal. Mechanical cardiopulmonary resuscitation (CPR) has not demonstrated clear clinical benefit; however, video review provides the capability to monitor CPR quality and provide constructive feedback to individuals and teams to improve their performance. The aim of our study was to evaluate cardiac arrest outcomes before and after initiation of a mechanical, team-focused, video-reviewed CPR intervention. Methods and Results In 2018, our emergency department began using mechanical CPR; a new team-focused strategy with nurse-led Advanced Cardiovascular Life Support; and biweekly, multidisciplinary video review of cardiac arrests. A revised approach to resuscitation was generated from a performance improvement session, and in situ simulation was used to disseminate our approach. The primary outcome of this study was the return of spontaneous circulation rate before and after our mechanical, team-focused, video-reviewed CPR intervention. Secondary outcomes included survival to admission and discharge. Multivariable logistic regression modeling was used. The pre- and postintervention groups were similar at baseline. A total of 248 patients were included in our study (97 before and 151 after mechanical, team-focused, video-reviewed CPR). Return of spontaneous circulation was higher in the intervention group (41% versus 26%;

Indexed as

Cardiopulmonary ResuscitationEmergency Service, HospitalPatient Care TeamQuality ImprovementQuality Indicators, Health CareReturn of Spontaneous CirculationVideo RecordingAgedAged, 80 and overChecklistClinical CompetenceFemaleFormative FeedbackHeart ArrestHospital MortalityHumanscardiac arrestcardiopulmonary resuscitationemergency departmenthigh performancemechanical chest compressionsquality improvementteam‐based care

Identifiers

PMID32151218
PMCPMC7335530
OpenAlexW3011707069

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.