Evidence map›Paper›PMID 41036565›Full record

ArticleActa orthopaedica2025

Cost-effectiveness of robotic-assisted versus conventional total knee arthroplasty: an analysis from a middle income country.

Pakpoom Ruangsomboon, Onlak Ruangsomboon, Wanrudee Isaranuwatchai, Michael G Zywiel, David Mj Naimark

Abstract readComparative Study
In one paragraph

Article in Acta orthopaedica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
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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

5 authors.

Pakpoom RuangsomboonSunnybrook Health Sciences Centre, Division of Orthopaedic Surgery, Toronto, ON, Canada; Faculty of Medicine, Siriraj Hospital, Mahidol University, Thailand; Institute for Health Policy Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-7041-3562
Onlak RuangsomboonFaculty of Medicine, Siriraj Hospital, Mahidol University, Thailand; Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada.
Wanrudee IsaranuwatchaiHealth Intervention and Technology Assessment Program (HITAP), Department of Health, Ministry of Public Health Tiwanon Road, Muang District, Nonthaburi, Thailand.
Michael G ZywielDivision of Orthopaedic Surgery, University Health Network, Toronto Western Hospital, Toronto, ON, Canada.
David Mj NaimarkInstitute for Health Policy Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; Division of Nephrology, Department of Medicine, University of Toronto, Toronto, ON, Canada. David.Naimark@sunnybrook.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeRobotic-assisted total knee arthroplasty (RATKA) can enhance surgical precision. In middle-income countries (MICs), constrained fiscal space and the double burden of rising demand for high-cost technologies and competing public-health priorities-unlike high-income countries with broader fiscal headroom and low-income countries with limited adoption of expensive innovations-make adoption decisions for RATKA particularly challenging. We aimed to evaluate the cost-effectiveness analysis (using a cost-utility framework) of RATKA vs conventional TKA (COTKA) from a societal perspective in Thailand as a MIC.

methodsA discrete event simulation model was employed to compare the cost-effectiveness of unilateral RATKA with COTKA over 4.5 years from a societal perspective, using patient-level data from January 2018 to June 2022 from an arthroplasty center in Thailand. Patients were propensity matched to balance comorbidities. Base case analysis assumed 1 robot performs 434 TKA cases per year with an anticipated lifespan of 12.5 years. We considered direct medical, non-medical, and indirect costs, alongside quality-adjusted life years (QALYs) gained from a societal perspective. We calculated incremental net monetary benefits (INMB) and cost-effectiveness ratios (ICERs) as the main outcome measures. Sensitivity analyses and 10 scenario analyses were performed exploring various possible settings. Threshold analyses determined combinations where RATKA could be cost-effective with positive INMB under the Thai cost-effectiveness threshold of US$4,888 per QALY gained.

resultsThe base case analysis involved 157 COTKA and 1570 RATKA matched cases with a mean age of 69 (standard deviation 8 years). The lifetime average outcomes per patient were: COTKA-US$5,031.9 and 9.07 QALYs; RATKA-US$5,666.9 and 9.16 QALYs. The incremental (RATKA-COTKA) differences were +US$633.6 (95% credible intervals [CrI] ~592-675) and +0.085 QALYs (CrI ~0.04-0.13), yielding an ICER of US$7,436.6/QALY. RATKA was not cost-effective compared with COTKA, with an INMB of -216.9 US$/patient. The probability of RATKA being cost-effective at the Thai cost-effectiveness threshold was 44.3%. For RATKA to be economically attractive, 1 robot must operate on at least 640 TKA cases/year over 12.5 years. 3 scenarios found RATKA to be cost-effective: (i) maximal robot utilization (850 cases/year); (ii) lowest capital costs (611,060 US$/robot) with high efficacy for RATKA (hazard ratio [HR] 0.6); and (iii) extreme efficacy of RATKA in reducing complications (HR 0.024).

conclusionIn the context of MIC, a broad adoption of RATKA is not economically attractive as treatment of end-stage knee osteoarthritis patients compared with COTKA.

Indexed as

Arthroplasty, Replacement, KneeCost-Benefit AnalysisRobotic Surgical ProceduresAgedFemaleHumansMaleMiddle AgedQuality-Adjusted Life YearsThailand

Identifiers

PMID41036565
PMCPMC12489808

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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.