• World Neurosurg · Nov 2020

    Review

    Learning curve for transforaminal percutaneous endoscopic lumbar discectomy: A systematic review.

    • Yong Ahn, Sol Lee, Seong Son, Ho Kim, and Ji Eun Kim.
    • Department of Neurosurgery, Gil Medical Center, Gachon University College of Medicine, Incheon. Electronic address: ns-ay@hanmail.net.
    • World Neurosurg. 2020 Nov 1; 143: 471-479.

    BackgroundTransforaminal percutaneous endoscopic lumbar discectomy (TPELD) has become an alternative and minimally invasive surgical technique for soft lumbar disc herniation. However, the learning curve has been relatively long and difficult. In the present study, we have summarized the characteristics of the learning curve of TPELD, including the number of cases required to achieve technical proficiency, and discussed the strategies to improve the learning curve.MethodsThe PubMed, Embase, Cochrane Library, and KoreaMed databases were searched for reports describing the learning curve for TPELD. Clinical studies involving human patients and evaluating the learning curve of TPELD with quantitative data were included. A strict quality assessment was completed, and descriptive statistics were calculated.ResultsOf the 6884 screened titles and abstracts, 10 full-text reports, including 958 cases, were included in the analysis. All were cohort studies, which were grouped into early and late groups according to surgeon experience with TPELD. The most commonly used cutoff to differentiate between these groups was 20 (mean, 24.70 ± 18.99 cases; range, 10-72 cases). The most widely used measure was the operative time. Although most studies had reported better results in the operative time or pain scores in the late group, only 1 study had proposed a bona fide learning curve.ConclusionsWe found insufficient evidence to support a cutoff point of 20 or other numbers of cases for determining when the learning curve has reached a plateau. Therefore, these numbers should be interpreted with great care, and high-quality prospective studies evaluating the actual learning curve are required.Copyright © 2020 Elsevier Inc. All rights reserved.

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