Evidence map›Paper›PMID 39300748›Full record

ReviewOrthopaedic surgery2024

Evaluating the Status and Promising Potential of Robotic Spinal Surgery Systems.

Xiang Li, Jiasheng Chen, Ben Wang, Xiao Liu, Shuai Jiang, Zhuofu Li, Weishi Li, Zihe Li, Feng Wei

Abstract readReview
In one paragraph

Review in Orthopaedic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. 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
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
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

9 authors.

Xiang LiDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.
Jiasheng ChenDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0003-3335-8474
Ben WangDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.
Xiao LiuDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.
Shuai JiangDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.
Zhuofu LiDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.
Weishi LiDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-9512-5436
Zihe LiDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-7636-2364
Feng WeiDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing frequency of cervical and lumbar spine disorders, driven by aging and evolving lifestyles, has led to a rise in spinal surgeries using pedicle screws. Robotic spinal surgery systems have emerged as a promising innovation, offering enhanced accuracy in screw placement and improved surgical outcomes. We focused on literature of this field from the past 5 years, and a comprehensive literature search was performed using PubMed and Google Scholar. Robotic spinal surgery systems have significantly impacted spinal procedures by improving pedicle screw placement accuracy and supporting various techniques. These systems facilitate personalized, minimally invasive, and low-radiation interventions, leading to greater precision, reduced patient risk, and decreased radiation exposure. Despite advantages, challenges such as high costs and a steep learning curve remain. Ongoing advancements are expected to further enhance these systems' role in spinal surgery.

Indexed as

Robotic Surgical ProceduresHumansPedicle ScrewsSpinal DiseasesSpinal Fusionmedical roboticsnavigationpedicle screwspine surgery

Identifiers

PMID39300748
PMCPMC11541143

What OpenQuestion holds

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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.