Evidence map›Paper›PMID 25548596›Full record

ArticleWorld journal of emergency medicine2014

Current pre-hospital traumatic brain injury management in China.

Kou Kou, Xiang-Yu Hou, Jian-Dong Sun, Kevin Chu

Abstract read
In one paragraph

Article in World journal of emergency medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

4 authors.

Kou KouSchool of Public Health and Social Work & Institute Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD 4059, Australia.
Xiang-Yu HouSchool of Public Health and Social Work & Institute Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD 4059, Australia.
Jian-Dong SunSchool of Public Health and Social Work & Institute Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD 4059, Australia.
Kevin ChuRoyal Brisbane and Women's Hospital Metro North Hospital and Health Service, Butterfield Street Herston QLD 4029, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraumatic brain injury (TBI) is associated with most trauma-related deaths. Secondary brain injury is the leading cause of in-hospital deaths after traumatic brain injury. By early prevention and slowing of the initial pathophysiological mechanism of secondary brain injury, pre-hospital service can significantly reduce case-fatality rates of TBI. In China, the incidence of TBI is increasing and the proportion of severe TBI is much higher than that in other countries. The objective of this paper is to review the pre-hospital management of TBI in China. DATA SOURCES: A literature search was conducted in January 2014 using the China National Knowledge Infrastructure (CNKI). Articles on the assessment and treatment of TBI in pre-hospital settings practiced by Chinese doctors were identified. The information on the assessment and treatment of hypoxemia, hypotension, and brain herniation was extracted from the identified articles.

resultsOf the 471 articles identified, 65 met the selection criteria. The existing literature indicated that current practices of pre-hospital TBI management in China were sub-optimal and varied considerably across different regions.

conclusionSince pre-hospital care is the weakest part of Chinese emergency care, appropriate training programs on pre-hospital TBI management are urgently needed in China.

Indexed as

ChinaEmergency medicinePre-hospitalTraumatic brain injury

Identifiers

PMID25548596
PMCPMC4272926

What OpenQuestion holds

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Registered trials

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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.