Evidence map›Paper›PMID 39677955›Full record

ArticlePeerJ2024

Preoperative 3D printing planning technology combined with orthopedic surgical robot-assisted minimally invasive screw fixation for the treatment of pelvic fractures: a retrospective study.

YuLong Jing, LiMing Chang, Bo Cong, JianHang Wang, MingQi Chen, ZhiFeng Tang, JingJie Luan, ZiYin Han, YangDe Liu, Tao Sun

Abstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

10 authors.

YuLong JingDepartment of Traumatic Orthopedics, Yantaishan Hospital, Yantai, China.
LiMing ChangYantai Key Laboratory for Repair and Reconstruction of Bone & Joint, Yantai, China.
Bo CongDepartment of Traumatic Orthopedics, Yantaishan Hospital, Yantai, China.
JianHang WangDepartment of Traumatic Orthopedics, Yantaishan Hospital, Yantai, China.
MingQi ChenDepartment of Traumatic Orthopedics, Yantaishan Hospital, Yantai, China.
ZhiFeng TangDepartment of Traumatic Orthopedics, Yantaishan Hospital, Yantai, China.
JingJie LuanDepartment of Traumatic Orthopedics, Yantaishan Hospital, Yantai, China.
ZiYin HanDepartment of Traumatic Orthopedics, Yantaishan Hospital, Yantai, China.
YangDe LiuDepartment of Traumatic Orthopedics, Yantaishan Hospital, Yantai, China.
Tao SunDepartment of Traumatic Orthopedics, Yantaishan Hospital, Yantai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the advantages and effectiveness of preoperative 3D printing planning technology combined with orthopedic surgical robot-assisted screw placement in the minimally invasive treatment of pelvic fractures compared to orthopedic surgical robot-assisted screw placement alone. Methods: A retrospective analysis of the clinical data of 29 patients with unstable pelvic fractures treated with orthopedic surgical robot-assisted percutaneous screw fixation from July 2021 to August 2023 was conducted. Among them, 13 patients who underwent preoperative 3D printing technology for screw planning were assigned to the experimental group, and the remaining 16 patients were assigned to the control group. All patients underwent screw fixation alone or combined with other fixation methods for fracture fixation. The application of preoperative 3D printing planning in orthopedic surgical robot operations was described. The intraoperative screw drawing time, invasive operation time, number of fluoroscopies during invasive operation, postoperative evaluation of screw accuracy, fracture healing, complications, and functional outcomes were recorded and compared between the two groups. Results: All patients successfully underwent surgery, with one patient in the control group experiencing numbness in the sciatic nerve innervation area. All patients were followed up for 4-15 months, with an average of 8 months, and all fractures achieved healing. The experimental group had a total of 26 screws inserted, while the control group had 30 screws. In the experimental group, the intraoperative screw drawing time was 3.0 (3.0, 3.37) min, significantly shorter than 4.0 (3.6, 4.0) min in the control group ( Conclusion: In the treatment of pelvic fractures using screw fixation, preoperative 3D printing technology planning combined with orthopedic surgical robots, compared to orthopedic surgical robot-assisted screw placement alone, can significantly reduce intraoperative screw drawing time, decrease drawing difficulty, enhance screw placement accuracy, and does not increase invasive operation time or the number of fluoroscopies. This approach makes the surgery safer and is a method worth applying.

Indexed as

Bone ScrewsFracture Fixation, InternalFractures, BonePelvic BonesPrinting, Three-DimensionalRobotic Surgical ProceduresAdultFemaleHumansMaleMiddle AgedMinimally Invasive Surgical ProceduresRetrospective StudiesTreatment Outcome3D printingOrthopedic surgical robotPelvic fracturePercutaneous screwPrecision

Identifiers

PMID39677955
PMCPMC11646416

What OpenQuestion holds

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LicenceCC BY
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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.