ArticleMedicine2019
Current Status of helicopter emergency medical services in China: A bibliometric analysis.
Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Comparative epidemiology and treatment outcomes at trauma centers: A cross-national analysis of the United States and China.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2025Article
- Evolving Trends and Research Hotspots in Disaster Epidemiology From 1985 to 2020: A Bibliometric Analysis.Frontiers in public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAfter nearly 20 years of development, China has realized some achievements in helicopter emergency medical services (HEMS). The purpose of this article is to introduce and evaluate the development and characteristics of HEMS in China by collecting and analyzing relevant literature and, in so doing, help this vital service to further develop.
methodWe conducted a Pubmed, Medline, Embase, ScienceDirect, Wanfang, CNKI, and VIP search of the literature on HEMS of China published between January 1950 and April 2017. The title, author name, number of authors, publishing date, country or region of origin, institution, type of article, study topic, funding source, and level of evidence of each article were recorded and analyzed.
resultsThere were 41 papers included in the analysis. All articles were published in Chinese. The selected articles were published between 2002 and 2017. The 41 articles originated from China, but 7 different regions were represented: East China (n = 14), followed by North China (n = 12), Central China (n = 8), Southwest China (n = 3), South China (n = 2), and Northwest China (n = 2). The articles included 18 clinical studies, 12 reviews, and 11 clinical guidelines. Among these, 22 articles were from public hospitals; 18 were from military units and 1 came from a private hospital. One article from the public hospitals was funded by public foundations (4.5%); 11 articles from the army units received support from Army funding (61.1%). Compared with the public and private hospitals, articles from military units were more likely to receive financial support (χ = 15.7 P <.01). All the articles were assigned a level of evidence from 1 to 5. Level 5 (78.0%) was the most frequent level of evidence. There were 7 studies at level 4. Only 2 articles were assigned to level 3. There were no articles at levels 1 or 2.
conclusionsChina's HEMS is a relatively new service. Its level of development is low, interregional development is uneven, and cooperation has been insufficient. We need to strengthen capital investment and develop a unified guideline to further enhance the development of HEMS in China.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.