Evidence map›Paper›PMID 40123727›Full record

ArticleWideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques2024

Learning curve and complications of unilateral biportal endoscopy-unilateral laminectomy bilateral decompression for lumbar spinal stenosis.

Jiashen Shao, Zihan Fan, Hai Meng, Qi Fei

Abstract read
In one paragraph

Article in Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
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5citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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  4. Learning curve for laparoscopic radical prostatectomy.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2025
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jiashen ShaoDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Zihan FanDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Hai MengDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Qi FeiDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe unilateral biportal endoscopic (UBE) technique has been widely adopted for treat‑ ment of lumbar disc herniation and lumbar spinal stenosis. Understanding its learning curve, as well as the factors that influence perioperative complications, is crucial for mastering and effectively learning this technique.

aimOur aim was to analyze the learning curve of UBE‑unilateral laminectomy bilateral decompression (ULBD) and risk factors associated with perioperative complications. MATERIALS AND

methodsConsecutive patients who underwent UBE from June 2021 to December 2023 at the Department of Orthopedics, Beijing Friendship Hospital, were retrospectively analyzed. Baseline information, perioperative data, and preoperative and postoperative subjective scores were recorded for all patients. The learning curve and identified risk factors for complications were analyzed.

resultsA total of 122 consecutive patients who underwent single‑segment UBE‑ULBD were included in this study. The surgical time curve fitting indicated that the surgeon nearly mastered the technique by the 38th case. Consequently, the cohort was divided into 2 distinct phases: a learning phase (cases 1-38) and a mastery phase (cases 39-122). Operative time, estimated blood loss, and drainage volume were higher in the learning phase group than in the mastery phase group, although hidden blood loss in the learning phase group was lower than in the mastery phase group. The visual analogue scale and Oswestry Disability Index scores at the last follow‑up showed significant improvement in both groups as compared with the preoperative period (P <0.05). Complication rate was 7.9% in the learning phase and 3.6% in the mastery phase. Univariate analysis showed that age, body mass index, alcohol consumption, and estimated blood loss were significantly associated with complication rate.

conclusionsUBE is an effective minimally‑invasive spinal endoscopic technique for treating lumbar spinal stenosis, offering short time to achieving surgical mastery and a low complication rate.

Indexed as

complicationlearning curvelumbar spinal stenosisunilateral biportal endoscopyunilateral laminectomy bilateral decompression

Identifiers

PMID40123727
PMCPMC11927538

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.