Evidence map›Paper›PMID 41023530›Full record

Observational studyJournal of robotic surgery2025

Robotic-assisted navigation with patient-specific implants vs. modified Stoppa and MIPPO in Tile C pelvic fractures: a multicenter cross-sectional observational study with osteoporosis subgroup analysis.

Khan Akhtar Ali, LingXiao He, Yongjing Sun, Weihua Hu, Weikai Zhang, Chengyan Xia, Hui Huang

Abstract readObservational StudyMulticenter StudyComparative Study
In one paragraph

Observational study in Journal of robotic surgery, 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. Review
  2. Review
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.

Khan Akhtar AliDepartment of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
LingXiao HeDepartment of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Yongjing SunDepartment of Rehabilitation, Jianjia Rehabilitation Hospital of Shantou, No. 189 Changjiang Road, Longhu District, Shantou City, China.
Weihua HuDepartment of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Weikai ZhangDepartment of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Chengyan XiaDepartment of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China. xiachengyan_ortho@163.com.
Hui HuangDepartment of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China. Huang_hui2023@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tile C pelvic fractures present significant therapeutic challenges, especially in obese and osteoporotic patients, where traditional techniques (Modified Stoppa approach, minimally invasive percutaneous plate osteosynthesis [MIPPO]) are limited by poor precision and high complication rates. Robotic-assisted navigation (RAN) with patient-specific implants (PSI) may improve outcomes, but gaps remain in understanding its performance in multicenter settings (e.g., surgeon skill variability), nonlinear BMI effects on functional recovery, and cost-effectiveness stratified by BMI-bone mineral density (BMD) interactions. This study aimed to compare RAN + PSI with traditional methods in operative efficiency, functional outcomes, and cost-effectiveness, while addressing multicenter bias and validating the optimal BMI for functional recovery. This was a multicenter prospective observational cohort study conducted at tertiary trauma centers in China (January 2022-2025), enrolling 220 patients with Tile C pelvic fractures. Patients were stratified by center and fracture subtype (Tile C1/C3) before allocation to three groups: RAN + PSI (n = 110), Modified Stoppa (n = 55), and MIPPO (n = 55)-this stratification minimized bias from intercenter surgeon skill differences and uneven case distribution. For RAN + PSI, preoperative CT scans generated 3D pelvic reconstructions to design custom implants and plan screw trajectories; intraoperative robotic calibration (TianJi Robot system) ensured submillimeter precision. Traditional techniques followed standardized protocols (Modified Stoppa: open anterior pelvic exposure with precontoured plates; MIPPO: fluoroscopy-guided percutaneous plate/screw placement). Primary outcomes included Matta reduction grade, Majeed Pelvic Score (12 months), and cost-effectiveness (incremental cost-effectiveness ratio [ICER], Chinese RMB/quality-adjusted life-year [QALY]). Polynomial regression modeled nonlinear BMI effects, and stratified analyses validated BMI-BMD interactions. RAN + PSI outperformed traditional methods in key metrics: (1) Implant precision: mean deviation 1.2 ± 0.5 mm vs. 2.7 ± 1.1 mm (Modified Stoppa) and 2.4 ± 0.9 mm (MIPPO, p < 0.001); (2) Operative efficiency: 98 ± 22 min vs. 145 ± 35 min (Modified Stoppa) and 138 ± 30 min (MIPPO, p < 0.001); (3) Complications: 10% vs. 25.5% (Modified Stoppa) and 23.6% (MIPPO, p = 0.003). Polynomial regression identified a peak Majeed Score (89.2 ± 5.8) at BMI ~ 26.5 kg/m

Indexed as

Fracture Fixation, InternalFractures, BoneMinimally Invasive Surgical ProceduresOsteoporosisPelvic BonesRobotic Surgical ProceduresAgedBone PlatesCost-Benefit AnalysisCross-Sectional StudiesFemaleHumansMaleMiddle AgedProspective StudiesBody mass indexBone mineral densityCost-effectivenessPolynomial regressionRobotic-assisted navigationTile C pelvic fractures

Identifiers

PMID41023530
PMCPMC12479566

What OpenQuestion holds

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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.