Evidence map›Paper›PMID 42380330›Full record

ArticleInternational orthopaedics2026

Time neutrality and reduced ecological burden - handheld robotic-assisted total knee arthroplasty improves operating room efficiency compared with manual total knee arthroplasty.

Ricarda Stauss, Hendrik Pott, Peter Savov, Thorsten M Seyler, Michael P Ast, Catherine Whittall, Max Ettinger

Abstract readComparative Study
In one paragraph

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

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ricarda StaussDivision of Orthopaedics at Campus Pius-Hospital, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany. ricarda.stauss@uni-oldenburg.de.ORCID 0000-0002-1319-0996
Hendrik PottDivision of Orthopaedics at Campus Pius-Hospital, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany.
Peter SavovDivision of Orthopaedics at Campus Pius-Hospital, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany.
Thorsten M SeylerDepartment of Orthopaedic Surgery, Duke University, Durham, USA.
Michael P AstDepartment of Orthopaedic Surgery, Hospital for Special Surgery, New York, USA.
Catherine WhittallSmith & Nephew (United Kingdom), Watford, United Kingdom.
Max EttingerDivision of Orthopaedics at Campus Pius-Hospital, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate whether imageless handheld robotic-assisted total knee arthroplasty (rTKA) can achieve time neutrality compared with manual TKA (mTKA) within a standardised workflow, while assessing operating-room (OR) efficiency, environmental impact, and intraoperative workload demand.

methodsIn this prospective study, 24 consecutive patients undergoing primary TKA were stratified to either rTKA (n = 12) or mTKA (n = 12). A process analysis captured 75 timestamps per case and quantified preparation, surgical, breakdown, turnover, and total OR times. Instrument trays were counted and weighed; reprocessing-related water and electricity consumption and costs were estimated. Perceived workload demand was assessed after both rTKA and mTKA using the NASA Task Load Index.

resultsNo statistically significant differences were observed between rTKA and mTKA for any OR time interval (total OR time 79.8 ± 8.1 vs. 75.8 ± 5.3 min, p = 0.19; mean surgical time 40.3 ± 4.2 vs. 37.3 ± 3.9 min, p = 0.10 for rTKA vs. mtKA respectively). The reduction of one tray for rTKA cases corresponded to estimated savings of €13,900, 3,900 L of water, and 140 kWh of electricity in sterilisation based on an annual volume of 250 cases. For rTKA, the NASA-TLX domain scores demonstrated lower perceived workload and frustration for rTKA than for mTKA (all p < 0.001), with a significantly higher perceived performance rating (p = 0.025).

conclusionImageless handheld rTKA achieved time neutrality compared with mTKA in a standardised high-volume workflow and was associated with reduced intraoperative workload demand. These findings support the feasibility of integrating handheld robotic assistance without compromising OR efficiency, while potentially improving staff experience and reducing resource utilisation, thereby contributing to value-based arthroplasty care.

Indexed as

Arthroplasty, Replacement, KneeEfficiency, OrganizationalOperating RoomsRobotic Surgical ProceduresAgedFemaleHumansMaleMiddle AgedOperative TimeProspective StudiesWorkflowWorkloadEcological burdenEconomic outcomesEnvironmental sustainabilityOperating room efficiencyRobotic-assisted total knee arthroplasty

Identifiers

PMID42380330
PMCPMC13562275

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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.