Evidence map›Paper›PMID 41164385›Full record

ReviewFrontiers in surgery2025

Robot-assisted fracture fixation for pelvic fractures: a scoping review of emerging technologies.

Boyi Wu, Gengqi Wang, Jun Zheng

Abstract readReview
In one paragraph

Review in Frontiers in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  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

3 authors.

Boyi WuYueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Gengqi WangYueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jun ZhengYueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pelvic fractures (PF) are complex injuries often requiring multidisciplinary management. Robot-assisted fracture Fixation (RAFF) systems have emerged as a promising innovation in PF treatment, offering improved precision, reduced radiation exposure, and minimally invasive techniques. This scoping review aims to synthesize the current evidence on the accuracy, safety, and efficiency of RAFF systems in managing PF, highlighting their benefits, limitations, and future potential. Methods: A scoping review was conducted adhering to PRISMA-ScR guidelines. Databases including PubMed and Web of Science were searched to identify studies evaluating RAFF systems for PF. Eligible studies involved adult patients undergoing robot-assisted interventions for PF and reported outcomes on accuracy, operative time, blood loss, and complications. Data extraction focused on study design, robotic platform, outcomes, and methodological quality assessed via MINORS and RoB-2. Results: Twelve studies were included, comprising case reports, case series, and one comparative study. RAFF systems demonstrated high accuracy in fracture reduction with reduced fluoroscopic exposure and minimal blood loss. Functional outcomes assessed by Matta criteria and Majeed scores were favorable. However, most studies were limited by small sample sizes and lack of long-term follow-up. No high-quality randomized controlled trials were identified. Conclusions: RAFF systems show significant potential in improving surgical outcomes for PF, offering enhanced precision and reduced operative risks. Nevertheless, robust, high-quality studies are needed to establish the long-term efficacy and economic viability of these systems. Standardized protocols and multicenter trials are critical for advancing the application of robotics in orthopedic trauma surgery.

Indexed as

Matta criteriaminimally invasive surgeryorthopedic traumapelvic fracturesrobot-assisted fracture fixationsurgical precisionTiRobot

Identifiers

PMID41164385
PMCPMC12558912

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Registered trials

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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.