Evidence map›Paper›PMID 38231423›Full record

SynthesisJournal of robotic surgery2024

Effectiveness and safety of robot-assisted minimally invasive transforaminal lumbar interbody fusion for degenerative lumbar spinal diseases: a systematic review and meta-analysis.

Xu Wang, Hao-Chuan Liu, Yi-Hang Ma, Qing-San Zhu, Yu-Hang Zhu

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of robotic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Robotic versus conventional single-level lumbar fusion in frail older adults: analysis of the National Readmission Database, 2016-2020.Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology · 2025
    Article
  6. Robot-Assisted vs Fluoroscopy-Guided Minimally Invasive Transforaminal Lumbar Interbody Fusion for Lumbar Degenerative Diseases: A Comparative Study.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  7. Article
  8. Article
  9. Review
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

5 authors.

Xu WangDepartment of Spine Surgery, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, Jilin, China.ORCID http://orcid.org/0000-0002-0142-8469
Hao-Chuan LiuDepartment of Spine Surgery, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, Jilin, China.
Yi-Hang MaDepartment of Spine Surgery, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, Jilin, China.
Qing-San ZhuDepartment of Spine Surgery, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, Jilin, China. zhuqs@jlu.edu.cn.ORCID http://orcid.org/0000-0002-9403-832X
Yu-Hang ZhuDepartment of Spine Surgery, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, Jilin, China. yhz@jlu.edu.cn.ORCID http://orcid.org/0000-0002-0866-8588

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robot-assisted (RA) technology has been widely used in spine surgery. This analysis aimed to compare the effectiveness and safety of RA minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF) and fluoroscopy-assisted (FA) MIS-TLIF for degenerative lumbar spinal diseases (DLSD). PubMed, Web of Science, Cochrane Library, and China National Knowledge Infrastructure were systematically searched, and the outcomes included surgical parameters [operation time, blood loss, number of fluoroscopic, accuracy of pedicle screw position, superior facet joint violation (FJV)], and clinical indexes (Visual Analog Scale (VAS), Oswestry Disability Index (ODI), Japanese Orthopaedic Association (JOA) score, clinical efficacy, hospital stays, complications). Eleven articles involving 1066 patients were included. RA group produced better results than the FA group in operation time (WMD = - 6.59; 95% CI - 12.79 to - 0.40; P = 0.04), blood loss (WMD = - 34.81; 95% CI - 50.55 to - 19.08; P < 0.0001), number of fluoroscopic (WMD = - 18.24; 95% CI - 30.63 to - 5.85; P = 0.004), accuracy of pedicle screw position: Grade A (OR = 3.16; 95% CI 2.36-4.23; P < 0.00001), Grade B (OR = 0.39; 95% CI 0.28-0.54; P < 0.00001), Grade C (OR = 0.27; 95% CI 0.13-0.54; P = 0.0002), and Grade D (OR = 0.17; 95% CI 0.03-0.98; P = 0.05), FJV: Grade 0 (OR = 3.27; 95% CI 1.34-8.02; P = 0.010), Grade 1 (OR = 0.24; 95% CI 0.16-0.38; P < 0.00001), Grade 2 (OR = 0.24; 95% CI 0.12-0.51; P = 0.0002), and Grade 3 (OR = 0.26; 95% CI 0.07-0.93; P = 0.04). But no significant differences in VAS score, ODI, JOA score, clinical efficacy, hospital stays, and complications. These results demonstrate a significant improvement in the intraoperative course of the RA technique. However, RA-MIS-TLIF has not yet demonstrated significant advantages in terms of postoperative symptom relief and functional improvement. Future research and clinical practice should further explore the efficacy of this technique to optimize outcomes and quality of life for patients with DLSD. The study was registered in the PROSPERO (CRD42023454405).

Indexed as

RoboticsRobotic Surgical ProceduresSpinal DiseasesSpinal FusionHumansLumbar VertebraeMinimally Invasive Surgical ProceduresQuality of LifeDegenerative lumbar spinal diseasesMeta-analysisMinimally invasive transforaminal lumbar interbody fusionRobot-assisted

Identifiers

What OpenQuestion holds

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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.