Evidence map›Paper›PMID 40176005›Full record

ArticleBMC musculoskeletal disorders2025

Robot-assisted versus fluoroscopy-assisted kyphoplasty in treatment of severe osteoporotic vertebral compression fractures in the old patients: a retrospective study : Robot-assisted in treatment of severe OVCF.

Peng Liu, Jiang Hu, Wei Zhang, Fei Wang, Liuyi Tang, Weijun Zhou, Shu Lin

Abstract readComparative Study
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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

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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

7 authors.

Peng LiuDepartment of Orthopedic Surgery, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, No. 32 West Second Section, First Ring Road, 610072, Chengdu, China.
Jiang HuDepartment of Orthopedic Surgery, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, No. 32 West Second Section, First Ring Road, 610072, Chengdu, China.
Wei ZhangDepartment of Orthopedic Surgery, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, No. 32 West Second Section, First Ring Road, 610072, Chengdu, China.
Fei WangDepartment of Orthopedic Surgery, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, No. 32 West Second Section, First Ring Road, 610072, Chengdu, China.
Liuyi TangDepartment of Orthopedic Surgery, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, No. 32 West Second Section, First Ring Road, 610072, Chengdu, China.
Weijun ZhouDepartment of Orthopedic Surgery, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, No. 32 West Second Section, First Ring Road, 610072, Chengdu, China.
Shu LinDepartment of Orthopedic Surgery, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, No. 32 West Second Section, First Ring Road, 610072, Chengdu, China. linshu6650337@163.com.

Funding

Chengdu Municipal Science and Technology Project 2019YFYF00093SNSichuan Provincial Science and Technology Project 2022YFS0018
6 · The paper itself

Abstract

backgroundAlthough percutaneous kyphoplasty (PKP) is used to treat severe osteoporotic vertebral compression fractures (OVCF), the unsatisfactory effect of bone cement reduction and leakage is a concern. In recent years, the application of surgical robots in the field of orthopaedics has shown promising prospects. Since 2017, our hospital has used surgical robot-assisted PKP to treat severe OVCF.

methodsOne hundred and fifty-five old patients with severe OVCF who had undergone PKP were retrospectively analyzed and stratified into two groups: robot-assisted (n = 88) and fluoroscopy-assisted (n = 67). The surgical time, intraoperative radiation dose, surgical efficacy (analgesic effect and limb function), imaging evaluation (accuracy of puncture, distribution of bone cement, reduction of vertebral height, and rectification of Cobb angle), and leakage of bone cement were analyzed to evaluate the potential advantages of robot-assisted PKP in the treatment of severe OVCF.

resultsThere were significant differences in surgical time (P < 0.001), intraoperative radiation dose (P < 0.001), analgesic effect (P = 0.001), accuracy of puncture (P = 0.008), distribution (P = 0.013), and leakage of bone cement (P = 0.019) between the two groups. However, postoperative limb function (P = 0.612), reduction in vertebral height (P = 0.068), and rectification of the Cobb angle (P = 0.243) were similar in both groups.

conclusionsThe application of robot-assisted PKP for treating severe OVCF (Genant Grade III) can slightly shorten surgery time and significantly reduce intraoperative total radiation exposure for both patients and clinicians. Additionally, it improves puncture accuracy and reduces the cement leakage rate, ultimately achieving satisfactory pain relief. However, in terms of functional recovery, no significant differences were observed between the two approaches.

Indexed as

Fractures, CompressionKyphoplastyOsteoporotic FracturesRobotic Surgical ProceduresSpinal FracturesAgedAged, 80 and overBone CementsFemaleFluoroscopyHumansMaleMiddle AgedOperative TimeRetrospective StudiesSeverity of Illness IndexBone CementsBone cement leakageOsteoporosis vertebral compression fracturesPercutaneous kyphoplastyRobot-assisted

Identifiers

PMID40176005
PMCPMC11963701

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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.