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

ABSTRACT: Study DesignTopic modeling of literature.ObjectivesOur 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.MethodsDocuments 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

SUBMITTER: Karabacak M 

PROVIDER: S-EPMC11571479 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature