Evidence map›Paper›PMID 40991023›Full record

ArticleJournal of robotic surgery2025

Robotic surgery is a new revolution in spinal surgery: a visual bibliometrics analysis.

Haoran Wang, Yanrui Chen, Liang Li, Jun Liu, Boyao Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Haoran WangDepartment of Orthopaedics, School of Medicine, Tongji Hospital of Tongji University, Tongji University, Shanghai, 200065, China.
Yanrui ChenDepartment of Orthopaedics, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Liang LiSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Jun LiuDepartment of Orthopaedics, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China. 18705279003@139.com.
Boyao WangDepartment of Orthopaedics, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China. 13912980806@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study conducts a bibliometric analysis of the literature related to robotic surgery in spinal surgery to identify research hotspots and provide a foundation and suggestions for its future development. The paper focuses on the fields of robotics and spinal surgery, retrieving relevant literature from the Web of Science Core Collection (WOSCC) database from 2001 to December 31, 2024. The number of publications per year is quantified using GraphPad Prism, and CiteSpace is employed to analyze the collaboration among authors, countries, and institutions, as well as the co-citation patterns of journals or literature. Finally, keyword clustering and visualization analysis were performed. China and the USA lead in the number of publications and demonstrate the closest collaboration with other countries and institutions. The main identified keywords include "accuracy" and "spine surgery" with research hotspots focusing on "image guidance" and "biomechanics" The research on robotic surgery in spinal surgery shows a continuous growth trend, indicating that this field will remain a focal point in spinal surgery research in the future.

Indexed as

BibliometricsRobotic Surgical ProceduresSpineHumansBibliometricsRobotSpineSurgeryVisual analysis

Identifiers

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.