Evidence map›Paper›PMID 33637278›Full record

ArticleAir medical journal

Air Medical Transport of Patients Diagnosed With Confirmed Coronavirus Disease 2019 Infection Undergoing Extracorporeal Membrane Oxygenation: A Case Review and Lessons Learned.

Thomas Bascetta, Lauri Bolton, Ethan Kurtzman, William Hantzos, Heather Standish, Patricia Margarido, Kathleen Race, John Spencer, William Baker, Jason Gluck

Abstract readCase Reports
In one paragraph

Article in Air medical journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Thomas BascettaLIFE STAR, Hartford Hospital, Hartford, CT. Electronic address: thomas.bascetta@hhchealth.org.
Lauri BoltonLIFE STAR, Hartford Hospital, Hartford, CT; Department of Emergency Medicine, Hartford Hospital, Hartford, CT; University of Connecticut School of Medicine, Farmington, CT.
Ethan KurtzmanHeart and Vascular Institute, Hartford HealthCare, Hartford, CT.
William HantzosLIFE STAR, Hartford Hospital, Hartford, CT.
Heather StandishLIFE STAR, Hartford Hospital, Hartford, CT.
Patricia MargaridoLIFE STAR, Hartford Hospital, Hartford, CT.
Kathleen RaceCare Logistics Center, Hartford HealthCare, Hartford, CT.
John SpencerEmergency Communications Center, Hartford Hospital, Hartford, CT.
William BakerDepartment of Pharmacy, Hartford Hospital, Hartford, CT.
Jason GluckHeart and Vascular Institute, Hartford HealthCare, Hartford, CT; University of Connecticut School of Medicine, Farmington, CT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 pandemic disrupted health care delivery in every respect, including critical care resources and the transport of patients requiring extracorporeal membrane oxygenation. Innovative solutions allowing for safe helicopter air transport of these critical patients is needed because extracorporeal membrane oxygenation resources are only available in specialty centers. We present a case demonstrating the interfacility collaboration of care for a patient with coronavirus disease 2019 infection and the lessons learned from the air transport. Careful planning, coordination, communication, and teamwork contributed to the safe transport of this patient and several others subsequently.

Indexed as

Air AmbulancesCritical CareExtracorporeal Membrane OxygenationAdultCommunicable Disease ControlCooperative BehaviorCOVID-19HumansInfectious Disease Transmission, Patient-to-ProfessionalMaleSafety ManagementSARS-CoV-2

Identifiers

PMID33637278
PMCPMC7698678

What OpenQuestion holds

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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.