Evidence map›Paper›PMID 39175317›Full record

ArticleZhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery2024

[Effectiveness of reduction robot combined with navigation robot-assisted minimally invasive treatment for Tile type B pelvic fractures].

Jiangbo Liao, Yonghong Dai, Zhengjie Wu, Yanhui Zeng, Canhui Li, Xuelin Wang, Junqiang Wang, Chunpeng Zhao, Xinbao Wu

Abstract readEnglish Abstract
In one paragraph

Article in Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery, 2024. 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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jiangbo LiaoThe Eighth Clinical Medical College of Guangzhou University of Traditional Chinese Medicine, Foshan Guangdong, 528000, P. R. China.
Yonghong DaiThe Eighth Clinical Medical College of Guangzhou University of Traditional Chinese Medicine, Foshan Guangdong, 528000, P. R. China.
Zhengjie WuThe Seventh Department of Orthopedics, Foshan Hospital of Traditional Chinese Medicine, Foshan Guangdong, 528000, P. R. China.
Yanhui ZengThe Seventh Department of Orthopedics, Foshan Hospital of Traditional Chinese Medicine, Foshan Guangdong, 528000, P. R. China.
Canhui LiThe Seventh Department of Orthopedics, Foshan Hospital of Traditional Chinese Medicine, Foshan Guangdong, 528000, P. R. China.
Xuelin WangThe Eighth Clinical Medical College of Guangzhou University of Traditional Chinese Medicine, Foshan Guangdong, 528000, P. R. China.
Junqiang WangDepartment of Orthopedics, Beijing Jishuitan Hospital, Beijing, 102208, P. R. China.
Chunpeng ZhaoDepartment of Orthopedics, Beijing Jishuitan Hospital, Beijing, 102208, P. R. China.
Xinbao WuDepartment of Orthopedics, Beijing Jishuitan Hospital, Beijing, 102208, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the effectiveness of reduction robot combined with navigation robot-assisted minimally invasive treatment for Tile type B pelvic fractures. Methods: Between January 2022 and February 2023, 10 patients with Tile type B pelvic fractures were admitted. There were 6 males and 4 females with an average age of 45.5 years (range, 30-71 years). The fractures were caused by traffic accident in 5 cases, bruising by heavy object in 3 cases, and falling from height in 2 cases. The interval between injury and operation ranged from 4-13 days (mean, 6.8 days). There were 2 cases of Tile type B1 fractures, 1 case of Tile type B2 fracture, and 7 cases of Tile type B3 fractures. After closed reduction under assistance of reduction robot, the anterior ring was fixed with percutaneous screws with or without internal fixator, and the posterior ring was fixed with sacroiliac joint screws under assistance of navigation robot. The time of fracture reduction assisted by the reduction robot was recorded and the quality of fracture reduction was evaluated according to the Matta scoring criteria. The operation time, intraoperative fluoroscopy frequency and time, intraoperative bleeding volume, and incidence of complications were also recorded. During follow-up, the X-ray film of pelvis was taken to review the fracture healing, and the Majeed score was used to evaluate hip joint function. Results: The time of fracture reduction was 42-62 minutes (mean, 52.3 minutes). The quality of fracture reduction according to the Matta scoring criteria was rated as excellent in 4 cases, good in 5 cases, and poor in 1 case, with excellent and good rate of 90%. The operation time was 180-235 minutes (mean, 215.5 minutes). Intraoperative fluoroscopy was performed 18-66 times (mean, 31.8 times). Intraoperative fluoroscopy time was 16-59 seconds (mean, 28.6 seconds). The intraoperative bleeding volume was 50-200 mL (range, 110.0 mL). No significant vascular or nerve injury occurred during operation. All patients were followed up 13-18 months (mean, 16 months). X-ray films showed that all fractures healed with the healing time of 11-14 weeks (mean, 12.3 weeks). One case of ectopic ossification occurred during follow-up. At last follow-up, the Majeed score was 70-92 (mean, 72.7), and the hip joint function was rated as excellent in 2 cases and good in 8 cases, with the excellent and good rate of 100%. Conclusion: The reduction robot combined with navigation robot-assisted minimally invasive treatment for Tile type B pelvic fractures has the characteristics of intelligence, high safety, convenient operation, and minimally invasive treatment, which can achieve reliable effectiveness.

Indexed as

Fracture Fixation, InternalFractures, BoneMinimally Invasive Surgical ProceduresPelvic BonesRobotic Surgical ProceduresAdultAgedBone ScrewsExternal FixatorsFemaleHumansMaleMiddle AgedRetrospective StudiesSurgery, Computer-AssistedTreatment Outcomeclosed reductioninternal fixationPelvic fracturerobotic surgery

Identifiers

PMID39175317
PMCPMC11335582

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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.