Evidence map›Paper›PMID 30429631›Full record

ArticleJournal of emergencies, trauma, and shock

Impact of Automated External Defibrillator as a Recent Innovation for the Resuscitation of Cardiac Arrest Patients in an Urban City of Japan.

Ikuto Takeuchi, Hiroki Nagasawa, Kei Jitsuiki, Akihiko Kondo, Hiromichi Ohsaka, Youichi Yanagawa

Open access · goldAbstract read
In one paragraph

Article in Journal of emergencies, trauma, and shock. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. 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 1 institution in 1 country.

Ikuto TakeuchiDepartment of Acute Critical Care Medicine, Shizuoka Hospital, Juntendo University, Tokyo, Japan.
Hiroki NagasawaDepartment of Acute Critical Care Medicine, Shizuoka Hospital, Juntendo University, Tokyo, Japan.
Kei JitsuikiDepartment of Acute Critical Care Medicine, Shizuoka Hospital, Juntendo University, Tokyo, Japan.
Akihiko KondoDepartment of Acute Critical Care Medicine, Shizuoka Hospital, Juntendo University, Tokyo, Japan.
Hiromichi OhsakaDepartment of Acute Critical Care Medicine, Shizuoka Hospital, Juntendo University, Tokyo, Japan.
Youichi YanagawaDepartment of Acute Critical Care Medicine, Shizuoka Hospital, Juntendo University, Tokyo, Japan.
Juntendo University Shizuoka Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CONTEXT/

aimsWe retrospectively analyzed the characteristics of prehospital care for cardiopulmonary arrest (CPA) to identify the predictors of a good recovery (GR) among the recent changes in the management of Japanese prehospital care. SETTINGS AND

designThis study was a retrospective medical chart review. SUBJECTS AND

methodsWe reviewed the transportation records written by emergency medical technicians and the characteristics of prehospital management of out-of-hospital (oh) CPA described by the Sunto-Izu Fire Department from April 2016 to March 2017. The cases were divided into two groups: a GR group (cerebral performance category of 1-3 at 1 month after CPA) and a poor recovery (PR) group.

resultsDuring the analysis period, there were 545 cases of CPA. The average age in the GR group (

conclusionsThis study showed that patients with CPA who were younger, underwent AED executed by a bystander, and obtained oh-ROSC had a higher chance of a favorable outcome.

Indexed as

Adrenalineautomated external defibrillatorprehospital caresupraglottic airwaytelephone cardiopulmonary resuscitation

Identifiers

PMID30429631
PMCPMC6182960
OpenAlexW2908534306

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.