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Cited by 308

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

Trends in lumbar spinal fusion—a literature review

Open access
Reisener, Marie-Jacqueline, Pumberger, Matthias, Shue, Jennifer, Girardi, Federico P., Hughes, Alexander P.·2020·Journal of Spine Surgery

Abstract

Over the past several decades, there has been an upward trend in the total number of spinal fusion procedures worldwide. Advanced spinal fusion techniques with or without internal fixation, additional innovations in surgical approaches, innovative implants including a wide variety of interbody devices, and new alternatives in bone grafting materials are some reasons for the increasing number of spine fusion procedures. Moreover, the indications for spinal fusion have broadened over time. Initially developed for the treatment of instability and deformity due to tuberculosis, scoliosis, and traumatic injury, spinal fusion surgery has now a wide range of indications like spondylolisthesis, congenital or degenerative deformity, spinal tumors, and pseudarthrosis, with degenerative disorders as the most common indication. This review emphasizes current lumbar fusion techniques and their development in the past decades.

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Crossref · 10.21037/jss-20-492

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Metadata

Authors
Reisener, M.-J., Pumberger, M., Shue, J., Girardi, F. P., & Hughes, A. P.
Venue
Journal of Spine Surgery
Published
2020-12
Volume
6
Issue
4
Pages
752-761
ISSN
  • 2414-4630 (ISSN-L)
  • 2414-469X
OpenAlex
W3023278774
Cited by
308
References
53
FWCI
14.00
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Trends in lumbar spinal fusion—a literature review. https://app.cochat.ai/papers/10.21037/jss-20-492
The paper
Reisener, M.-J., Pumberger, M., Shue, J., Girardi, F. P., & Hughes, A. P. (2020). Trends in lumbar spinal fusion—a literature review. Journal of Spine Surgery. https://doi.org/10.21037/jss-20-492

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.