关键词: Autoregressive integrated moving average model (ARIMA) Chiari malformation Keyword analysis Nomenclature Python programming language Scientometrics analysis Trend forecast Word frequency analysis

Mesh : Humans Arnold-Chiari Malformation / surgery Decompression, Surgical Encephalocele / surgery Magnetic Resonance Imaging

来  源:   DOI:10.1007/s10143-023-02207-w

Abstract:
There is an absent systematic analysis or review that has been conducted to clarify the topic of nomenclature history and terms misuse about Chiari malformations (CMs). We reviewed all reports on terms coined for CMs for rational use and provided their etymology and future development. All literature on the nomenclature of CMs was retrieved and extracted into core terms. Subsequently, keyword analysis, preceding and predicting (2023-2025) compound annual growth rate (CAGR) of each core term, was calculated using a mathematical formula and autoregressive integrated moving average model in Python. Totally 64,527 CM term usage was identified. Of these, 57 original terms were collected and then extracted into 24 core-terms. Seventeen terms have their own featured author keywords, while seven terms are homologous. The preceding CAGR of 24 terms showed significant growth in use for 18 terms, while 13, three, three, and five terms may show sustained growth, remain stable, decline, and rare in usage, respectively, in the future. Previously, owing to intricate nomenclature, Chiari terms were frequently misused, and numerous seemingly novel but worthless even improper terms have emerged. For a very basic neuropathological phenomenon tonsillar herniation by multiple etiology, a mechanism-based nosology seems to be more conducive to future communication than an umbrella eponym. However, a good nomenclature also should encapsulate all characteristics of this condition, but this is lacking in current CM research, as the pathophysiological mechanisms are not elucidated for the majority of CMs.
摘要:
没有进行系统分析或审查来澄清术语历史和关于Chiari畸形(CM)的术语滥用的主题。我们审查了所有为CM创造的合理使用术语的报告,并提供了它们的词源和未来发展。检索了有关CM命名法的所有文献,并将其提取到核心术语中。随后,关键词分析,预测和预测(2023-2025年)每个核心术语的复合年增长率(CAGR),在Python中使用数学公式和自回归积分移动平均模型进行计算。确定了总共64,527厘米的术语用法。其中,收集57个原始术语,然后提取成24个核心术语。十七个术语有自己的特色作者关键字,而七个术语是同源的。上述24个术语的复合年增长率显示,18个术语的使用显着增长,13,3,三,五个任期可能显示出持续增长,保持稳定,下降,很少使用,分别,在未来。以前,由于复杂的命名法,Chiari术语经常被滥用,出现了许多看似新颖但毫无价值的甚至不恰当的术语。对于由多种病因引起的非常基本的神经病理学现象,一个基于机制的nosology似乎更有利于未来的沟通比一个伞形的同义词。然而,一个好的命名法也应该囊括这种情况的所有特征,但这在目前的CM研究中是缺乏的,由于大多数CM的病理生理机制尚未阐明。
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