Evidence map›Paper›PMID 38689343›Full record

ArticleJournal of orthopaedic surgery and research2024

Intelligent robot-assisted fracture reduction system for the treatment of unstable pelvic fractures.

Zhengjie Wu, Yonghong Dai, Yanhui Zeng

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
  2. Review
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  4. [TiRobot-assisted minimally invasive treatment of geriatric fragility fractures of the pelvis].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025
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  7. Observational
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  10. Ten-Year Trends in Pelvic Fractures Among China's Aging Population: A Retrospective Single-Center Study.Medical science monitor : international medical journal of experimental and clinical research · 2025
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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

3 authors.

Zhengjie Wu *The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China. 13219534676@163.com.
Yonghong Dai *The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China.
Yanhui ZengThe Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrecise and minimally invasive closed reduction is the premise of minimally invasive internal fixation. This paper aims to explore the safety and efficacy of a robot-assisted fracture reduction system (RAFR) in the treatment of pelvic fractures and to analyze its clinical advantages and existing problems.

methodsThe RAFR system intelligently designed the optimal reduction path and target position based on a preoperative three-dimensional(3D) CT scan of the patient. The reduction robotic arm automatically reduced the affected hemipelvis according to the pre-planned reduction path.

resultsThe average residual displacement was the 6.65 ± 3.59 mm. According to Matta's criteria, there were 7 excellent, 10 good, and 3 fair, and the excellent and good rate was 85%. No postoperative complications occurred.

conclusionIn our study, the RAFR system could complete accurate and minimally invasive closed reduction for most patients with unstable pelvic fractures, which could achieve good fracture reduction quality and short-term efficacy.

Indexed as

Fractures, BonePelvic BonesRobotic Surgical ProceduresAdultAgedFemaleFracture Fixation, InternalHumansMaleMiddle AgedMinimally Invasive Surgical ProceduresTomography, X-Ray ComputedTreatment OutcomeYoung AdultClosed reductionElastic tractionNavigationPelvic fractureRobot-assisted surgery

Identifiers

PMID38689343
PMCPMC11059586

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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.