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

Overview

Journal Global Spine J

Publisher Sage Publications

Date 2024 May 17

PMID 38760664

Authors

Mert Karabacak

Pemla Jagtiani

Carl Moritz Zipser

Lindsay Tetreault

Benjamin Davies

Konstantinos Margetis

Affiliations

Soon will be listed here.

Abstract

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.

References

Pham M, Rajic A, Greig J, Sargeant J, Papadopoulos A, McEwen S . A scoping review of scoping reviews: advancing the approach and enhancing the consistency. Res Synth Methods. 2015; 5(4):371-85. PMC: 4491356. DOI: 10.1002/jrsm.1123. View

Chen R, Liu J, Zhao Y, Diao Y, Chen X, Pan S . Predictive Value of Preoperative Short Form-36 Survey Scale for Postoperative Axial Neck Pain in Patients With Degenerative Cervical Myelopathy. Global Spine J. 2023; 15(2):540-547. PMC: 11877598. DOI: 10.1177/21925682231200136. View

Malhotra A, He Y, Harrington E, Jaja B, Zhu M, Shakil H . Development of the cervical myelopathy severity index: a new patient reported outcome measure to quantify impairments and functional limitations. Spine J. 2023; 24(3):424-434. DOI: 10.1016/j.spinee.2023.10.018. View

Tian X, Zhao H, Han F, Rudd S, Li Z, Ding W . Treatment of three-level cervical spondylotic myelopathy using ACDF or a combination of ACDF and ACCF. Front Surg. 2022; 9:1021643. PMC: 9523112. DOI: 10.3389/fsurg.2022.1021643. View

Borah R, Brown A, Capers P, Kaiser K . Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry. BMJ Open. 2017; 7(2):e012545. PMC: 5337708. DOI: 10.1136/bmjopen-2016-012545. View

Ledesma J, Issa T, Lambrechts M, Hiranaka C, Tran K, OConnor P . Multilevel ossification of the posterior longitudinal ligament causing cervical myelopathy: An observational series of North American patients. J Craniovertebr Junction Spine. 2023; 14(3):292-298. PMC: 10583802. DOI: 10.4103/jcvjs.jcvjs_90_23. View

Witiw C, Smieliauskas F, Fehlings M . Health Economics and the Management of Degenerative Cervical Myelopathy. Neurosurg Clin N Am. 2017; 29(1):169-176. DOI: 10.1016/j.nec.2017.09.013. View

Li Q, Hu B, Masood U, Zhang Z, Yang X, Liu L . A Comparison of Corpectomy ACDF Hybrid Procedures with Nano-Hydroxyapatite/Polyamide 66 Cage and Titanium Mesh Cage for Multi-level Degenerative Cervical Myelopathy: A Stepwise Propensity Score Matching Analysis. Orthop Surg. 2023; 15(11):2830-2838. PMC: 10622274. DOI: 10.1111/os.13883. View

Rhee J, Heflin J, Hamasaki T, Freedman B . Prevalence of physical signs in cervical myelopathy: a prospective, controlled study. Spine (Phila Pa 1976). 2009; 34(9):890-5. DOI: 10.1097/BRS.0b013e31819c944b. View

10.

Tetreault L, Ibrahim A, Cote P, Singh A, Fehlings M . A systematic review of clinical and surgical predictors of complications following surgery for degenerative cervical myelopathy. J Neurosurg Spine. 2015; 24(1):77-99. DOI: 10.3171/2015.3.SPINE14971. View

11.

Lambrechts M, Brush P, Lee Y, Issa T, Lawall C, Syal A . Patient-Reported Outcomes Following Anterior and Posterior Surgical Approaches for Multilevel Cervical Myelopathy. Spine (Phila Pa 1976). 2023; 48(8):526-533. DOI: 10.1097/BRS.0000000000004586. View

12.

Dohle E, Beardall S, Chang A, Mena K, Jovanovic L, Nath U . Human spinal cord tissue is an underutilised resource in degenerative cervical myelopathy: findings from a systematic review of human autopsies. Acta Neurochir (Wien). 2023; 165(5):1121-1131. PMC: 10140111. DOI: 10.1007/s00701-023-05526-5. View

13.

Liao X, Jin Z, Shi L, Zhao Y, Zhou S, Chen D . Prevalence of Ossification of Posterior Longitudinal Ligament in Patients With Degenerative Cervical Myelopathy: Cervical Spine 3D CT Observations in 7210 Cases. Spine (Phila Pa 1976). 2020; 45(19):1320-1328. DOI: 10.1097/BRS.0000000000003526. View

14.

Sing D, Metz L, Dudli S . Machine Learning-Based Classification of 38 Years of Spine-Related Literature Into 100 Research Topics. Spine (Phila Pa 1976). 2017; 42(11):863-870. DOI: 10.1097/BRS.0000000000002079. View

15.

Kalsi-Ryan S, Karadimas S, Fehlings M . Cervical spondylotic myelopathy: the clinical phenomenon and the current pathobiology of an increasingly prevalent and devastating disorder. Neuroscientist. 2012; 19(4):409-21. DOI: 10.1177/1073858412467377. View

16.

Nouri A, Tetreault L, Singh A, Karadimas S, Fehlings M . Degenerative Cervical Myelopathy: Epidemiology, Genetics, and Pathogenesis. Spine (Phila Pa 1976). 2015; 40(12):E675-93. DOI: 10.1097/BRS.0000000000000913. View

17.

Oh T, Lafage R, Lafage V, Protopsaltis T, Challier V, Shaffrey C . Comparing Quality of Life in Cervical Spondylotic Myelopathy with Other Chronic Debilitating Diseases Using the Short Form Survey 36-Health Survey. World Neurosurg. 2017; 106:699-706. DOI: 10.1016/j.wneu.2016.12.124. View

18.

Khan D, Khan M, Kotter M, Davies B . Tackling Research Inefficiency in Degenerative Cervical Myelopathy: Illustrative Review. JMIR Res Protoc. 2020; 9(6):e15922. PMC: 7317636. DOI: 10.2196/15922. View

19.

Davies B, Stubbs D, Gillespie C, Grodzinski B, Venkatesh A, Guilfoyle M . Life expectancy in patients with degenerative cervical myelopathy is currently reduced but can be restored with timely treatment. Acta Neurochir (Wien). 2023; 165(5):1133-1140. PMC: 10140127. DOI: 10.1007/s00701-023-05515-8. View

20.

Fan G, Li Y, Yang S, Qin J, Huang L, Liu H . Research topics and hotspot trends of lumbar spondylolisthesis: A text-mining study with machine learning. Front Surg. 2023; 9:1037978. PMC: 9852633. DOI: 10.3389/fsurg.2022.1037978. View