Evidence map›Paper›PMID 41163149›Full record

ArticleBMC musculoskeletal disorders2025

Robot-assisted frame screws placement for the surgical management of complex acetabular fractures: a single-center retrospective study.

Jianan Chen, Guixiong Huang, Keda Yu, Wenzhe Sun, Lulu Tang, Peiran Xue, Xiaodong Guo, Kaifang Chen

Abstract read
In one paragraph

Article in BMC musculoskeletal disorders, 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. Article
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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

8 authors.

Jianan Chen *Department of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Avenue, Jianghan District, Wuhan City, Hubei Province, China.
Guixiong Huang *Department of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Avenue, Jianghan District, Wuhan City, Hubei Province, China.
Keda YuDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Avenue, Jianghan District, Wuhan City, Hubei Province, China.
Wenzhe SunDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Avenue, Jianghan District, Wuhan City, Hubei Province, China.
Lulu TangDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Avenue, Jianghan District, Wuhan City, Hubei Province, China.
Peiran XueDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Avenue, Jianghan District, Wuhan City, Hubei Province, China.
Xiaodong GuoDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Avenue, Jianghan District, Wuhan City, Hubei Province, China. xiaodongguo@hust.edu.cn.
Kaifang ChenDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Avenue, Jianghan District, Wuhan City, Hubei Province, China. ckf@hust.edu.cn.

Funding

National Natural Science Foundation of China 82202715National Natural Science Foundation of China 82272460
6 · The paper itself

Abstract

backgroundThe traditional freehand placement of frame screws (infra-acetabular, IAS; posterior column screw, PCS) is difficult due to narrow osseous corridors, risking joint penetration and neurovascular damage. We hypothesize that robot-assisted placement could reduce iatrogenic injuries, improve surgical efficiency, and make the process safer and more precise. This study aims to assess the surgical and clinical outcomes of using robot-assisted frame screws for complex acetabular fractures versus the freehand method.

methodsFrom April 2020 to July 2023, 45 patients with complex acetabular fractures who received surgical treatment in our department were included in a retrospective analysis. The 45 patients were sorted into two groups, A (robot-assisted, n = 21) and B (freehand, n = 24), based on the frame screws placement methods. Blood loss, surgical time, frame screws placement time and accuracy, number of fluoroscopies and guide pin adjustments, incision length, fracture reduction quality, hip function and complications were compared between the two groups.

resultsCompared to the patients in group B, those in group A had significantly shorter surgical time (-26 min) and frame screws placement time (-21 min), lower blood loss (-125 ml), fewer guide pin adjustments (-8) and fluoroscopies (-24), as well as higher frame screws placement perfect rate (+ 13%). There were no significant differences in the quality of fracture reduction and hip function between the two groups. The iatrogenic neurovascular injury rate was lower in group A (4.8%) compared to group B (12.5%), and the incision length was shorter by 1 cm in group A, yet neither difference was statistically significant.

conclusionRobot-assisted frame screws placement is a safe and precise method for managing complex acetabular fractures, especially for those with narrow osseous corridors or poor general condition. It surpasses the traditional freehand technique by reducing blood loss, shortening placement time, increasing the precision, and minimizing guide pin adjustments and fluoroscopies.

Indexed as

AcetabulumBone ScrewsFracture Fixation, InternalFractures, BoneRobotic Surgical ProceduresAdultAgedBlood Loss, SurgicalFemaleHumansMaleMiddle AgedOperative TimePostoperative ComplicationsRetrospective StudiesTreatment OutcomeAcetabular fractureAssistedInfra-acetabularPosterior columnRobotScrew

Identifiers

PMID41163149
PMCPMC12573898

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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.