Prior robotic surgical experience is the main driver of better baseline performance and skills progression¶

Claim · All claims
Evidence · 1 study · review r3 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Prior robotic surgical experience was the main driver for better baseline performance and skills progression across included studies. → Liu Wai Miu Emma 2026

Evidence¶

Liu Wai Miu Emma 2026¶

Liu Wai Miu Emma, Burr Katy-Anne, Dave Charvi, Pearse Callum, Li Yang, Quarez Julien, Granados Alejandro, Challacombe Ben, Dasgupta Prokar, Raison Nicholas. (2026). Assessing effectiveness and skill transferability in multi-platform simulated training for robotic surgical skills: a systematic review. Journal of Robotic Surgery 20(1):121. https://doi.org/10.1007/s11701-025-03090-x

q2 · i? · review · r3

Narrative synthesis across the five included studies in this systematic review. The review states "Prior robotic surgical experience was the main driver for better baseline performance and skills progression", based on subgroup comparisons by experience level. No effect size is printed for this summary statement.

"Prior robotic surgical experience was the main driver for better baseline performance and skills progression."

Discussion¶

Related Claims¶

• Console design variations influence skill transferability between robotic platforms — related
• Skill transferability is demonstrated in cross-platform simulated training amongst experts and novices — related
• Surgical competence in robotic LLND is achieved after 12–53 cases regardless of learning outcome — related
• Sensor-based force measurement discriminates skill levels, with experts suturing faster and with lower applied force than novices — related
• Intermediate-level trainees exhibit reduced performance when transferring between robotic platforms (GEARS −2.9) — related