Claims

The EyeSi Surgical Simulator can differentiate VRS novices from experts, providing construct validity evidence

Claim · All claims
Evidence · 1 study · review r3 · q2
Currency · newest study 2019 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2022: tool and model accuracy changes quickly

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Across the included studies, the EyeSi Surgical Simulator showed statistically significant performance differences between novices and experts in both the navigation and membrane peeling modules. → Rasmussen Rasmus Christian 2019

Evidence

Rasmussen Rasmus Christian 2019

Rasmussen Rasmus Christian, Grauslund Jakob, Vergmann Anna Stage. (2019). Simulation training in vitreoretinal surgery: a systematic review. BMC Ophthalmology. https://doi.org/10.1186/s12886-019-1098-x

q2 · i? · review · r3

Qualitative synthesis of seven included studies in a systematic review. The review reports that in both the navigation and membrane peeling modules "a statistical significant performance difference was found between novices and experts."

"If we look at our combined results from the included studies, we found evidence that the EyeSi® Surgical Simulator can differentiate novices from experts in VRS."

Discussion

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