Evidence map›Paper›PMID 38680448›Full record

ArticleFrontiers in neuroscience2024

Utilization of a novel patient-specific 3D-printing template for percutaneous endoscopic transforaminal discectomy: results from a randomized controlled trial.

Xin Huang, Qipeng Luo, Chen Liang, Yixuan Wang, Donglin Jia, Shuiqing Li, Xiangyang Guo

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Xin Huang *Department of Pain Medicine, Peking University Third Hospital, Peking University Health Science Center, Beijing, China.
Qipeng Luo *Department of Pain Medicine, Peking University Third Hospital, Peking University Health Science Center, Beijing, China.
Chen LiangDepartment of Pain Medicine, Peking University Third Hospital, Peking University Health Science Center, Beijing, China.
Yixuan WangDepartment of Pain Medicine, Peking University Third Hospital, Peking University Health Science Center, Beijing, China.
Donglin JiaDepartment of Pain Medicine, Peking University Third Hospital, Peking University Health Science Center, Beijing, China.
Shuiqing LiDepartment of Pain Medicine, Peking University Third Hospital, Peking University Health Science Center, Beijing, China.
Xiangyang GuoDepartment of Anesthesiology, Peking University Third Hospital, Peking University Health Science Center, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The learning curve for percutaneous endoscopic transforaminal discectomy (PETD) is steep, especially for the puncturing and localization procedures. The implementation of 3D printing technology may solve this problem. Methods: A novel individualized 3D-printing template (3D-PT) was designed and utilized in PETD. A prospective randomized controlled trial was performed. A total of 28 patients with lumbar disc herniation treated with PETD were analyzed. Of these, 14 patients were treated with the assistance of 3D printing technology (3D-PT group) in conjunction with fluoroscopy, while the remaining 14 patients were treated exclusively under the guidance of C-arm fluoroscopy (control group). Results: The number of puncture attempts in the 3D-PT group was significantly less than in the control group (1.36 ± 0.63 vs. 6.07 ± 3.08, Conclusion: The application of the novel individualized 3D-PT for PETD is effective and safe. The technique has substantial potential and is worth widely promoting.

Indexed as

3D printingcomputer-assisted surgeryindividualizationlumbar disc herniationpatient-specificpercutaneous endoscopic transforaminal discectomy

Identifiers

PMID38680448
PMCPMC11047121

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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.