Neurophysiology and advanced dynamic assessments in degenerative cervical myelopathy

Scheuren, Paulina S.; Zipser, Carl M.; Hupp, Markus; Rosner, Jan; Pfender, Nikolai; Schubert, Martin; Hubli, Michèle; Curt, Armin

doi:10.1016/b978-0-323-95334-4.00008-5

Degenerative Cervical Myelopathy 2023

DOI: 10.1016/b978-0-323-95334-4.00008-5

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Neurophysiology and advanced dynamic assessments in degenerative cervical myelopathy

Paulina S. Scheuren,

Carl M. Zipser,

Markus Hupp

et al.

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2024

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Mapping the Degenerative Cervical Myelopathy Research Landscape: Topic Modeling of the Literature

Karabacak,

Jagtiani,

Zipser

et al. 2024

Global Spine Journal

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Study Design Topic modeling of literature. Objectives Our study has 2 goals: (i) to clarify key themes in degenerative cervical myelopathy (DCM) research, and (ii) to evaluate the current trends in the popularity or decline of these topics. Additionally, we aim to highlight the potential of natural language processing (NLP) in facilitating research syntheses. Methods Documents were retrieved from Scopus, preprocessed, and modeled using BERTopic, an NLP-based topic modeling method. We specified a minimum topic size of 25 documents and 50 words per topic. After the models were trained, they generated a list of topics and corresponding representative documents. We utilized linear regression models to examine trends within the identified topics. In this context, topics exhibiting increasing linear slopes were categorized as “hot topics,” while those with decreasing slopes were categorized as “cold topics”. Results Our analysis retrieved 3510 documents that were classified into 21 different topics. The 3 most frequently occurring topics were “OPLL” (ossification of the posterior longitudinal ligament), “Anterior Fusion,” and “Surgical Outcomes.” Trend analysis revealed the hottest topics of the decade to be “Animal Models,” “DCM in the Elderly,” and “Posterior Decompression” while “Morphometric Analyses,” “Questionnaires,” and “MEP and SSEP” were identified as being the coldest topics. Conclusions Our NLP methodology conducted a thorough and detailed analysis of DCM research, uncovering valuable insights into research trends that were otherwise difficult to discern using traditional techniques. The results provide valuable guidance for future research directions, policy considerations, and identification of emerging trends.

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Mapping the Degenerative Cervical Myelopathy Research Landscape: Topic Modeling of the Literature

Karabacak,

Jagtiani,

Zipser

et al. 2024

Global Spine Journal

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show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Neurophysiology and advanced dynamic assessments in degenerative cervical myelopathy

Cited by 1 publication

References 72 publications

Mapping the Degenerative Cervical Myelopathy Research Landscape: Topic Modeling of the Literature

Mapping the Degenerative Cervical Myelopathy Research Landscape: Topic Modeling of the Literature

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