Evidence map›Paper›PMID 42865385›Full record

ArticleFrontiers in robotics and AI2026

High-precision universality? A matched-pair sawbone study on the learning curve, accuracy, and implant interchangeability of a novel open-platform robotic UKA system.

Pengyu Zhan, Ziyue Liu, Boran Liang, Yugang Xing, Xingyu Liu, Yiling Zhang, Jing Chen

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pengyu Zhan *Peking University Aerospace Clinical Medical College, Beijing, China.
Ziyue Liu *Peking University Aerospace Clinical Medical College, Beijing, China.
Boran LiangAerospace Center Hospital, Department of Orthopedics, Beijing, China.
Yugang XingAerospace Center Hospital, Department of Orthopedics, Beijing, China.
Xingyu LiuBeijing Changmugu Medical Technology Co., Ltd., Beijing, China.
Yiling ZhangBeijing Changmugu Medical Technology Co., Ltd., Beijing, China.
Jing ChenPeking University Aerospace Clinical Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Robotic-assisted unicompartmental knee arthroplasty (UKA) improves implant positioning over conventional techniques, but commercial systems commonly bind the robotic platform to a single implant manufacturer, restricting clinical flexibility. Open-platform systems offer a vendor-neutral alternative, yet their effect on novice execution precision and workflow stability during implant switching remains insufficiently characterized. Methods: A prospective exploratory matched-pair case series was conducted on standardized synthetic bone models (Sawbones). Two robotic-naïve medical students, after identical training and baseline assessment, each performed 20 consecutive robotic UKA procedures on the ROPA open-platform system (Beijing Changmugu Medical Technology). Operator A used a single implant (Sigma HP Uni, DePuy Synthes); Operator B alternated between two manufacturer-specific workflows (DePuy Synthes; Kangernuo Medical). Because each condition included only one operator, observed differences reflect combined operator- and workflow-related factors that cannot be disentangled. Learning curves were assessed by Cumulative Sum (CUSUM). Three-dimensional resection accuracy was quantified by high-precision laser scanning. Overall perceived workload was assessed with NASA-TLX. Results: The precision CUSUM oscillated around zero for both operators (peak amplitudes +0.30 and -0.54 mm), indicating sub-millimeter accuracy from the first case without a detectable learning phase. All 40 cases fell within the ±1 mm safe zone (P > 0.05 across resection depths). Tibial valgus deviation was greater in Operator B (1.74° ± 1.33° vs. 0.97° ± 0.96°; P = 0.028, Wilcoxon signed-rank test), and the mean deviation of both operators remained below the ±2° degree threshold. Operator B reached the operative-time inflection point earlier (Case 5 vs. 10) and reported lower NASA-TLX workload (32.05 ± 25.60 vs. 38.35 ± 23.72, P = 0.010); this difference cannot be attributed to workflow alone. Conclusion: Under sawbone conditions-which cannot reproduce soft-tissue balancing, bleeding, anatomical variability, patient-specific deformity, or intraoperative decision-making-this two-operator exploratory evaluation found no evidence of compromised accuracy during alternating-implant workflows, with all 40 cases sub-millimeter. Findings are hypothesis-generating pre-clinical observations requiring validation in adequately powered, multi-operator prospective studies before clinical inference.

Indexed as

implant switchinglearning curveopen-platform systemrobotic arthroplastysawbone modelunicompartmental knee arthroplasty

Identifiers

PMID42865385
PMCPMC13654760

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.