Evidence map›Paper›PMID 29162608›Full record

ArticleBone & joint research2017

Robotic arm-assisted

M J G Blyth, I Anthony, P Rowe, M S Banger, A MacLean, B Jones

Abstract read
In one paragraph

Article in Bone & joint research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 12 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

72 citing papers in PubMed, 12 syntheses or guidelines pooled it.

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  4. Robotic arm-assisted arthroplasty: The latest developments.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2022
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  7. MAKO CT-based robotic arm-assisted system is a reliable procedure for total knee arthroplasty: a systematic review.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2021
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  15. [Effect of robotic-arm assisted total knee arthroplasty on femoral rotation alignment and its short-term effectiveness].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2021
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12 more citing papers are in PubMed but not listed here.

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

6 authors.

M J G BlythDepartment of Orthopaedics, Glasgow Royal Infirmary, Glasgow, G4 0SF, UK.
I AnthonyDepartment of Orthopaedics, Glasgow Royal Infirmary, Glasgow, G4 0SF, UK.
P RoweUniversity of Strathclyde, Glasgow, G1 1XQ, UK.
M S BangerUniversity of Strathclyde, Glasgow, G1 1XQ, UK Mark.Blyth@ggc.scot.nhs.uk.
A MacLeanDepartment of Orthopaedics, Glasgow Royal Infirmary, Glasgow, G4 0SF, UK.
B JonesDepartment of Orthopaedics, Glasgow Royal Infirmary, Glasgow, G4 0SF, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study reports on a secondary exploratory analysis of the early clinical outcomes of a randomised clinical trial comparing robotic arm-assisted unicompartmental knee arthroplasty (UKA) for medial compartment osteoarthritis of the knee with manual UKA performed using traditional surgical jigs. This follows reporting of the primary outcomes of implant accuracy and gait analysis that showed significant advantages in the robotic arm-assisted group.

methodsA total of 139 patients were recruited from a single centre. Patients were randomised to receive either a manual UKA implanted with the aid of traditional surgical jigs, or a UKA implanted with the aid of a tactile guided robotic arm-assisted system. Outcome measures included the American Knee Society Score (AKSS), Oxford Knee Score (OKS), Forgotten Joint Score, Hospital Anxiety Depression Scale, University of California at Los Angeles (UCLA) activity scale, Short Form-12, Pain Catastrophising Scale, somatic disease (Primary Care Evaluation of Mental Disorders Score), Pain visual analogue scale, analgesic use, patient satisfaction, complications relating to surgery, 90-day pain diaries and the requirement for revision surgery.

resultsFrom the first post-operative day through to week 8 post-operatively, the median pain scores for the robotic arm-assisted group were 55.4% lower than those observed in the manual surgery group (p = 0.040).At three months post-operatively, the robotic arm-assisted group had better AKSS (robotic median 164, interquartile range (IQR) 131 to 178, manual median 143, IQR 132 to 166), although no difference was noted with the OKS.At one year post-operatively, the observed differences with the AKSS had narrowed from a median of 21 points to a median of seven points (p = 0.106) (robotic median 171, IQR 153 to 179; manual median 164, IQR 144 to 182). No difference was observed with the OKS, and almost half of each group reached the ceiling limit of the score (OKS > 43). A greater proportion of patients receiving robotic arm-assisted surgery improved their UCLA activity score.Binary logistic regression modelling for dichotomised outcome scores predicted the key factors associated with achieving excellent outcome on the AKSS: a pre-operative activity level > 5 on the UCLA activity score and use of robotic-arm surgery. For the same regression modelling, factors associated with a poor outcome were manual surgery and pre-operative depression.

conclusionRobotic arm-assisted surgery results in improved early pain scores and early function scores in some patient-reported outcomes measures, but no difference was observed at one year post-operatively. Although improved results favoured the robotic arm-assisted group in active patients (i.e. UCLA ⩾ 5), these do not withstand adjustment for multiple comparisons.

Indexed as

Randomised controlled trialRoboticUnicompartmental knee arthroplasty

Identifiers

PMID29162608
PMCPMC5717071

What OpenQuestion holds

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Read underepoch 390

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.