Evidence map›Paper›PMID 35491572›Full record

SynthesisThe bone & joint journal2022

Robotic arm-assisted versus manual unicompartmental knee arthroplasty : a systematic review and meta-analysis of the MAKO robotic system.

Junren Zhang, Nathan Ng, Chloe E H Scott, Mark J G Blyth, Fares S Haddad, Gavin J Macpherson, James T Patton, Nick D Clement

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The bone & joint journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
14.8field-weighted citation impact, top 1% of its field
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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 77 citations in OpenAlex.

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  14. Accuracy of ROSAJournal of clinical medicine · 2026
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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

8 authors at 4 institutions in 2 countries.

Junren ZhangTan Tock Seng Hospital, Singapore, Singapore.ORCID 0000-0003-4714-2754
Nathan NgEdinburgh Orthopedics, Royal Infirmary of Edinburgh, Edinburgh, UK.
Chloe E H ScottEdinburgh Orthopedics, Royal Infirmary of Edinburgh, Edinburgh, UK.
Mark J G BlythGlasgow Royal Infirmary, Glasgow, UK.
Fares S HaddadUniversity College London Hospitals, London, UK.
Gavin J MacphersonEdinburgh Orthopedics, Royal Infirmary of Edinburgh, Edinburgh, UK.
James T PattonEdinburgh Orthopedics, Royal Infirmary of Edinburgh, Edinburgh, UK.
Nick D ClementEdinburgh Orthopedics, Royal Infirmary of Edinburgh, Edinburgh, UK.
Edinburgh Royal Infirmary · GBGlasgow Royal Infirmary · GBRoyal London Hospital · GBTan Tock Seng Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis systematic review aims to compare the precision of component positioning, patient-reported outcome measures (PROMs), complications, survivorship, cost-effectiveness, and learning curves of MAKO robotic arm-assisted unicompartmental knee arthroplasty (RAUKA) with manual medial unicompartmental knee arthroplasty (mUKA).

methodsSearches of PubMed, MEDLINE, and Google Scholar were performed in November 2021 according to the Preferred Reporting Items for Systematic Review and Meta--Analysis statement. Search terms included "robotic", "unicompartmental", "knee", and "arthroplasty". Published clinical research articles reporting the learning curves and cost-effectiveness of MAKO RAUKA, and those comparing the component precision, functional outcomes, survivorship, or complications with mUKA, were included for analysis.

resultsA total of 179 articles were identified from initial screening, of which 14 articles satisfied the inclusion criteria and were included for analysis. The papers analyzed include one on learning curve, five on implant positioning, six on functional outcomes, five on complications, six on survivorship, and three on cost. The learning curve was six cases for operating time and zero for precision. There was consistent evidence of more precise implant positioning with MAKO RAUKA. Meta-analysis demonstrated lower overall complication rates associated with MAKO RAUKA (OR 2.18 (95% confidence interval (CI) 1.06 to 4.49); p = 0.040) but no difference in re-intervention, infection, Knee Society Score (KSS; mean difference 1.64 (95% CI -3.00 to 6.27); p = 0.490), or Western Ontario and McMaster Universities Arthritis Index (WOMAC) score (mean difference -0.58 (95% CI -3.55 to 2.38); p = 0.700). MAKO RAUKA was shown to be a cost-effective procedure, but this was directly related to volume.

conclusionMAKO RAUKA was associated with improved precision of component positioning but was not associated with improved PROMs using the KSS and WOMAC scores. Future longer-term studies should report functional outcomes, potentially using scores with minimal ceiling effects and survival to assess whether the improved precision of MAKO RAUKA results in better outcomes. Cite this article:

Indexed as

Arthroplasty, Replacement, KneeRobotic Surgical ProceduresHumansKnee JointLearning CurveOntarioarthroplastyArthroplastyComplicationsFunctionfunctional outcomeskneeKneeKnee Society ScoresLearning curvemedial unicompartmental knee arthroplastyMEDLINEOutcomepatient-reported outcome measures (PROMs)RoboticRobotic armrobotic arm-assisted unicompartmental knee arthroplastySatisfactionUnicompartmental kneeWOMAC scores

Identifiers

PMID35491572
PMCPMC9948441
OpenAlexW4225248473

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.