Evidence map›Paper›PMID 42301326›Full record

ArticleJournal of robotic surgery2026

Transferability of robotic surgical proficiency across platforms in knee replacement: analysis of the early learning curve in an experienced surgeon.

Stefano Marco Paolo Rossi, Paolo Capitani, Luca Ballini, Matteo Messori, Simone Guida, Giampaolo Rinaldi, Federico Bove

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Article in Journal of robotic surgery, 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

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

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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

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0 citing papers in PubMed.

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4 · The record

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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

7 authors.

Stefano Marco Paolo RossiU.O.C Ortopedia e Traumatologia, ASST Grande Ospedale Metropolitano Niguarda, Ospedale Niguarda Ca' Granda, Milan, Italy. rossi.smp@gmail.com.
Paolo CapitaniU.O.C Ortopedia e Traumatologia, ASST Grande Ospedale Metropolitano Niguarda, Ospedale Niguarda Ca' Granda, Milan, Italy.
Luca BalliniU.O.C Ortopedia e Traumatologia, ASST Grande Ospedale Metropolitano Niguarda, Ospedale Niguarda Ca' Granda, Milan, Italy.
Matteo MessoriU.O.C Ortopedia e Traumatologia, ASST Grande Ospedale Metropolitano Niguarda, Ospedale Niguarda Ca' Granda, Milan, Italy.
Simone GuidaU.O.C Ortopedia e Traumatologia, ASST Grande Ospedale Metropolitano Niguarda, Ospedale Niguarda Ca' Granda, Milan, Italy.
Giampaolo RinaldiU.O.C Ortopedia e Traumatologia, ASST Grande Ospedale Metropolitano Niguarda, Ospedale Niguarda Ca' Granda, Milan, Italy.
Federico BoveU.O.C Ortopedia e Traumatologia, ASST Grande Ospedale Metropolitano Niguarda, Ospedale Niguarda Ca' Granda, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Learning curves for robotic total knee arthroplasty (TKA) have been widely described during the initial adoption of robotic technology. However, it remains unclear whether robotic surgical proficiency is platform-specific or transferable between systems based on different modelling paradigms. The purpose of this study was to evaluate whether an experienced robotic surgeon demonstrates a measurable learning curve when transitioning from imageless to CT-based robotic TKA. A senior surgeon with experience exceeding 1000 robotic knee arthroplasties performed using imagel-ess platforms transitioned to a CT-based robotic TKA system. The first 25 consecutive CT-based robotic TKAs were prospectively analysed. Operative time and postoperative radiographic alignment (HKA, LDFA, MPTA, tibial slope) were assessed. Learning curve dynamics were evaluated using cumulative sum (CUSUM) and segmented regression analyses. Radiographic outliers were defined as deviations greater than 2° from the planned target. Operative time decreased from 65 min in the first case to a steady-state mean of 55 ± 3 min (95% CI 53.8-56.2) by case 3, corresponding to a 15.4% reduction. Continuous CUSUM demonstrated an inflection point at case 2, confirmed by segmented regression (p < 0.05). Mean postoperative alignment was 0.7° ± 1.2° for HKA, 88.5° ± 1.1° for LDFA, 87.8° ± 1.2° for MPTA, and 4.8° ± 0.7° for tibial slope. No radiographic outliers (> 2°) were observed after case 2. In an experienced robotic surgeon, transition from imageless to CT-based robotic TKA was not associated with a clinically relevant learning curve. Operative efficiency stabilised rapidly and radiographic alignment accuracy was maintained from the earliest procedures. These findings suggest that robotic TKA proficiency may be transferable across platforms, although confirmation through multicentre comparative studies remains necessary. Level IV.

Indexed as

Arthroplasty, Replacement, KneeClinical CompetenceLearning CurveRobotic Surgical ProceduresSurgeonsFemaleHumansOperative TimeProspective StudiesTomography, X-Ray ComputedAlignment accuracyCT-based roboticsImageless roboticsLearning curveRobotic TKATransferability

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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.