Evidence map›Paper›PMID 32671172›Full record

ArticleTrauma case reports2020

Use of the EVARREST patch for penetrating cardiac injury.

Gustavo Romero-Velez, Jody M Kaban, Edward Chao, Erin R Lewis, Melvin E Stone, Sheldon Teperman, Srinivas H Reddy

Erratum issuedOpen access · goldAbstract readCase Reports
In one paragraph

Article in Trauma case reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Gustavo Romero-VelezMontefiore Medical Center, Bronx, NY, United States of America.
Jody M KabanAlbert Einstein College of Medicine, Division of Thoracic Surgery, Jacobi Medical Center, Bronx, NY, United States of America.
Edward ChaoAlbert Einstein College of Medicine, Division of Trauma & Critical Care Services, Jacobi Medical Center, Bronx, NY, United States of America.
Erin R LewisDepartment of Surgery, Jacobi Medical Center, Bronx, NY, United States of America.
Melvin E StoneAlbert Einstein College of Medicine, Division of Trauma & Critical Care Services, Jacobi Medical Center, Bronx, NY, United States of America.
Sheldon TepermanAlbert Einstein College of Medicine, Trauma & Critical Care Services, Jacobi Medical Center, Bronx, NY, United States of America.
Srinivas H ReddyAlbert Einstein College of Medicine, Division of Trauma & Critical Care Services, Jacobi Medical Center, Bronx, NY, United States of America.
Jacobi Medical Center · USMontefiore Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Penetrating cardiac injuries have a pre-hospital mortality of 94% with a subsequent in-hospital mortality of 50% among initial survivors (Leite et al., 2017 [1]). The Western Trauma Association (WTA) guidelines recommend resuscitative thoracotomy (RT) for patients with penetrating torso trauma and less than 15 min of cardiopulmonary resuscitation (CPR) Burlew et al. (2012) [2]. Penetrating cardiac injuries are classically repaired using skin-stapling devices and/or suture repair with or without pledgets (Wall et al., 1997 [3]). In this study, we present a case of penetrating cardiac injury where all the aforementioned techniques failed, and a new approach was explored. A fibrinogen/thrombin patch was used in this clinical setting, which is an off-label use of the product, we here present our encouraging outcome.

Indexed as

Cardiac injuryEVARRESTFibrin patchTrauma

Identifiers

PMID32671172
PMCPMC7338775
OpenAlexW3037907759

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.