Evidence map›Paper›PMID 33718903›Full record

ArticleTurkish journal of anaesthesiology and reanimation2021

Evaluation of Cardiopulmonary Resuscitation Conditions in Turkey: Current Status of Code Blue.

Gönül Tezcan Keleş, Şule Özbilgin, Levent Uğur, Handan Birbiçer, Şule Akın, Bahar Kuvaki, Nurcan Doruk, Hülya Türkan, Mert Akan

Open access · diamondAbstract read
In one paragraph

Article in Turkish journal of anaesthesiology and reanimation, 2021. 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
0.5field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Evaluation of Code Blue Notifications and Their Results: A University Hospital Example.Turkish journal of anaesthesiology and reanimation · 2023
    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 1 institution in 1 country.

Gönül Tezcan KeleşDepartment of Anaesthesiology and Intensive Care, Celal Bayar University Faculty of Medicine, Manisa, Turkey.ORCID 0000-0002-6879-5124
Şule ÖzbilginDepartment of Anaesthesiology and Intensive Care, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.ORCID 0000-0002-2940-8988
Levent UğurDepartment of Intensive Care, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.ORCID 0000-0003-3167-3139
Handan BirbiçerDepartment of Anaesthesiology and Intensive Care, Mersin University Faculty of Medicine, Mersin, Turkey.ORCID 0000-0003-3510-9279
Şule AkınDepartment of Anaesthesiology and Intensive Care, Başkent University Faculty of Medicine, Adana, Turkey.ORCID 0000-0001-6423-1076
Bahar KuvakiDepartment of Anaesthesiology and Intensive Care, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.ORCID 0000-0002-5160-0634
Nurcan DorukDepartment of Anaesthesiology and Intensive Care, Mersin University Faculty of Medicine, Mersin, Turkey.ORCID https://orcid.org/0000-0003-0141-1111
Hülya TürkanDepartment of Anaesthesiology and Intensive Care, Ankara Gülhane Training and Research Hospital, Ankara, Turkey.ORCID 0000-0001-8120-3130
Mert AkanDepartment of Anaesthesiology and Intensive Care, Kent Hospital, İzmir, Turkey.ORCID 0000-0003-0195-7149
Mersin Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGlobally, previously determined teams activated by 'code blue' calls target rapid and organised responses to medical emergency situations. This study aimed to evaluate the cardiopulmonary resuscitation (CPR) conditions in Turkey.

methodsA web-based survey was sent to anaesthesiologists in Turkey via email. The survey included 36 questions about demographic features and 'code blue' practices and procedures.

resultsA total of 180 participants were included. The mean working duration was 16.1±7.5 years. Of the anaesthesiologists who participated, 35% worked in university, 26.1% in education and research, 1.7% in city hospitals, 18.9% in state hospitals and 18.3% in private hospitals; 68.3% had CPR certification. There were code blue systems in 97.6% of the organisations. For code blue calls, 71.9% were activated by calling '2222'. There were 41.5% organisations with code blue teams of 3-4 people, whereas 26.7% had 2-member teams. Among call responders, 68.5% were anaesthesia technicians/paramedics, 60.7% were anaesthesiologists and 42.7% were anaesthesia assistants. In organisations, 66.3% regularly conducted code blue training. In total, 63.3% of the participants stated that the time to reach the location was nearly 2-4 minutes. During CPR, the use of capnography was 18.3%. Of the participants, 73.8% chose endotracheal intubation as priority airway device during CPR.

conclusionToday, code blue practice is an important quality criterion for hospitals. This study shows the current status of 'code blue' according to the results of respondent data completing the survey. To prevent in-hospital cardiac arrest, a chain of preventive measures should be established, including personnel training, monitoring of patients, recognition of patient deterioration, the presence of a call for help system and effective intervention.

Indexed as

Cardiopulmonary resuscitationcode bluein-hospital cardiac arrest

Identifiers

PMID33718903
PMCPMC7932719
OpenAlexW3127114602

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.