Evidence map›Paper›PMID 33708509›Full record

ArticleTranslational pediatrics2021

Improvement of the functioning and efficiency of a Code Blue system after training in a children's hospital in China.

Yu Shi, Gongbao Liu, Di Cao, Guoping Lu, Lin Yuan, Yuping Qian, Jie Xu, Chengjun Sun, Mengmeng Ge, Lingyu Lai and 4 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

14 authors at 1 institution in 1 country.

Yu ShiDivision of Medical Administration, National Children's Medical Center Children's Hospital of Fudan University, Shanghai, China.
Gongbao LiuDivision of Medical Administration, National Children's Medical Center Children's Hospital of Fudan University, Shanghai, China.
Di CaoDivision of Medical Administration, National Children's Medical Center Children's Hospital of Fudan University, Shanghai, China.
Guoping LuIntensive Care Unit, National Children's Medical Center Children's Hospital of Fudan University, Shanghai, China.
Lin YuanPresident's Office, National Children's Medical Center Children's Hospital of Fudan University, Shanghai, China.
Yuping QianPresident's Office, National Children's Medical Center Children's Hospital of Fudan University, Shanghai, China.
Jie XuPresident's Office, National Children's Medical Center Children's Hospital of Fudan University, Shanghai, China.
Chengjun SunDepartment of Endocrinology and Inborn Metabolic Diseases, National Children's Medical Center Children's Hospital of Fudan University, Shanghai, China.
Mengmeng GeDepartment of Neonatology, National Children's Medical Center Children's Hospital of Fudan University, Shanghai, China.
Lingyu LaiDepartment of General Medicine, National Children's Medical Center Children's Hospital of Fudan University, Shanghai, China.
Xuan WangDepartment of Anesthesiology, National Children's Medical Center Children's Hospital of Fudan University, Shanghai, China.
Yiqun LuDepartment of Urology Surgery, National Children's Medical Center Children's Hospital of Fudan University, Shanghai, China.
Guoying HuangCardiovascular Center, National Children's Medical Center Children's Hospital of Fudan University, Shanghai, China.
Xiaowen ZhaiDepartment of Hematology/Oncology, National Children's Medical Center Children's Hospital of Fudan University, Shanghai, China.
Children's Hospital of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCode Blue is a popular hospital emergency code that is used to alert the emergency response team to any medical emergency requiring critical care. By retrospectively studying Code Blue cases in a children's hospital, we looked for high-risk factors associated with survival and how to improve the effectiveness of Code Blue systems through training.

methodsData were collected on age, gender, department, diagnosis, time of Code Blue call activation, time between call and arrival of the Code Blue team, treatment details and outcome before and after the training process from January 2016 to December 2019. Chi-square test and logistic regression analysis were used to analyze the data.

resultsA total of 139 Code Blue cases from the period of January 2016 to December 2019 were retrospectively studied. The wards where Code Blues occurred most frequently were the infectious diseases ward (n=31, 22.3%), the hematology and oncology ward (n=30, 21.6%), and the cardiology ward (n=15, 10.8%). Age, inpatient status, time of arrival, the time of cardiopulmonary resuscitation (CPR), and the cause of shock were all risk factors for death. After the training, the arrival time and recovery time were significantly reduced (P<0.01). The proportion of patients who were transferred to the ICU had increased (P<0.05), and the proportion of deaths had decreased (P<0.01). The survival curve improved (P<0.05).

conclusionsIt is very important to summarize the risk factors related to Code Blue. It is clear that the efficacy of the Code Blue events improved after training of the hospital staff in the Children's Hospital.

Indexed as

children’s hospitalCode bluesurvival curve

Identifiers

PMID33708509
PMCPMC7944164
OpenAlexW3127812195

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.