Evidence map›Paper›PMID 41877580›Full record

ArticleOrthopaedic surgery2026

Inter- and Intra-Rater Reliability of Pre-Resection Ligament Tension Assessment Using a Digital Tensioner in Imageless Robotic-Assisted Total Knee Replacement.

Xin Yang, Lingqing Xiao, Pengfei Lei, Rex Wang-Fung Mak, Jonathan Patrick Ng, Cham-Kit Wong, Gloria Yan-Ting Lam, Tsz Lung Choi, Mingde Cao, Patrick Shu Hang Yung and 1 more

Abstract read
In one paragraph

Article in Orthopaedic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

11 authors.

Xin YangDepartment of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, SAR, China.
Lingqing XiaoDepartment of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, SAR, China.
Pengfei LeiDepartment of Orthopedic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Rex Wang-Fung MakDepartment of Orthopaedics and Traumatology, Prince of Wales Hospital, Hong Kong, SAR, China.ORCID https://orcid.org/0000-0003-1888-5508
Jonathan Patrick NgDepartment of Orthopaedics and Traumatology, Prince of Wales Hospital, Hong Kong, SAR, China.
Cham-Kit WongDepartment of Orthopaedics and Traumatology, Alice Ho Miu Ling Nethersole Hospital, Hong Kong, SAR, China.
Gloria Yan-Ting LamDepartment of Orthopaedics and Traumatology, Alice Ho Miu Ling Nethersole Hospital, Hong Kong, SAR, China.
Tsz Lung ChoiDepartment of Orthopaedics and Traumatology, Alice Ho Miu Ling Nethersole Hospital, Hong Kong, SAR, China.
Mingde CaoDepartment of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, SAR, China.ORCID https://orcid.org/0000-0003-1445-7856
Patrick Shu Hang YungDepartment of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, SAR, China.ORCID https://orcid.org/0000-0002-7214-5503
Michael Tim Yun OngDepartment of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, SAR, China.ORCID https://orcid.org/0000-0002-4460-9286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLigament tension balance is essential for successful and long-term implant survival of total knee arthroplasty (TKA). Conventional manual tensioning methods are subjective and vary with the surgeon experience. This study evaluated the inter- and intra-rater reliability of pre-resection ligament tension assessments using an imageless robotic-assisted TKA system.

methodsIn this prospective study, 24 patients (30 knees) with end-stage knee osteoarthritis underwent CORI-assisted TKA from September 2024 to February 2025. Three specialist and three trainee surgeons each performed three repeated varus and valgus stress assessments across flexion and extension. Each medial and lateral gap measurement was recorded. Intraclass correlation coefficients (ICCs) were calculated with a two-way mixed-effects and two-way random-effects model.

resultsBoth specialists and trainees demonstrated excellent intra- and inter- rater reliability (ICC > 0.90) for medial and lateral gaps in extension and medial gap in flexion. Flexion lateral reliability was good-to-excellent for trainees (ICC = 0.873, 95% CI: 0.784-0.933) and moderate-to-excellent for specialists (ICC = 0.838, 95% CI: 0.729-0.913).

conclusionsPre-resection ligament tension assessment with an imageless robotic system yields high inter- and intra-rater reliability, reducing variability linked to surgeon experience. Digital tensioners may standardize soft tissue balancing in TKA, potentially improving surgical outcomes and reproducibility. EVIDENCE LEVEL: Level III, prospective quasi-experimental study.

Indexed as

Arthroplasty, Replacement, KneeLigaments, ArticularOsteoarthritis, KneeRobotic Surgical ProceduresAgedFemaleHumansMaleMiddle AgedObserver VariationProspective StudiesReproducibility of Resultsimagelessligament tension assessmentpre‐excisionreliability analysisrobotic‐assisted surgerytotal knee replacement

Identifiers

PMID41877580
PMCPMC13139048

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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.