Evidence map›Paper›PMID 27381732›Full record

ArticleJournal of Zhejiang University. Science. B2016

Learning curves of percutaneous endoscopic lumbar discectomy in transforaminal approach at the L4/5 and L5/S1 levels: a comparative study.

Xin-Bo Wu, Guo-Xin Fan, Xin Gu, Tu-Gang Shen, Xiao-Fei Guan, An-Nan Hu, Hai-Long Zhang, Shi-Sheng He

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Journal of Zhejiang University. Science. B, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 5 pooled it
3.4field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 5 syntheses or guidelines pooled it, 57 citations in OpenAlex.

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  13. Percutaneous endoscopic transforaminal discectomy and unilateral biportal endoscopic discectomy for lumbar disc herniation: a comparative analysis of learning curves.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024
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  16. Application of electromagnetic navigation in endoscopic transforaminal lumbar interbody fusion: a cohort study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2022
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4 · The record

Corrections and comments

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

8 authors at 3 institutions in 1 country.

Xin-Bo WuOrthopedic Department, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Guo-Xin FanOrthopedic Department, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Xin GuOrthopedic Department, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Tu-Gang ShenOrthopedic Department, the Chinese People's Liberation Army No. 98 Hospital, Huzhou 313000, China.
Xiao-Fei GuanOrthopedic Department, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
An-Nan HuOrthopedic Department, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Hai-Long ZhangOrthopedic Department, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Shi-Sheng HeOrthopedic Department, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Tongji University · CNShanghai Tenth People's Hospital · CNChinese People 's Liberation Army No. 85 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to compare the learning curves of percutaneous endoscopic lumbar discectomy (PELD) in a transforaminal approach at the L4/5 and L5/S1 levels.

methodsWe retrospectively reviewed the first 60 cases at the L4/5 level (Group I) and the first 60 cases at the L5/S1 level (Group II) of PELD performed by one spine surgeon. The patients were divided into subgroups A, B, and C (Group I: A cases 1-20, B cases 21-40, C cases 41-60; Group II: A cases 1-20, B cases 21-40, C cases 41-60). Operation time was thoroughly analyzed.

resultsCompared with the L4/5 level, the learning curve of transforaminal PELD at the L5/S1 level was flatter. The mean operation times of Groups IA, IB, and IC were (88.75±17.02), (67.75±6.16), and (64.85±7.82) min, respectively. There was a significant difference between Groups A and B (P<0.05), but no significant difference between Groups B and C (P=0.20). The mean operation times of Groups IIA, IIB, and IIC were (117.25±13.62), (109.50±11.20), and (92.15±11.94) min, respectively. There was no significant difference between Groups A and B (P=0.06), but there was a significant difference between Groups B and C (P<0.05). There were 6 cases of postoperative dysesthesia (POD) in Group I and 2 cases in Group IIA (P=0.27). There were 2 cases of residual disc in Group I, and 4 cases in Group II (P=0.67). There were 3 cases of recurrence in Group I, and 2 cases in Group II (P>0.05).

conclusionsCompared with the L5/S1 level, the learning curve of PELD in a transforaminal approach at the L4/5 level was steeper, suggesting that the L4/5 level might be easier to master after short-term professional training.

Indexed as

Learning CurveAdultDiskectomy, PercutaneousFemaleHumansLumbar VertebraeMaleMiddle AgedRetrospective StudiesVisual Analog ScaleLearning curvePercutaneous endoscopic lumbar discectomyTransforaminal approach

Identifiers

PMID27381732
PMCPMC4940631
OpenAlexW2460542560

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.