Claims

The coronary anastomosis learning curve on a simulator stabilizes after about 30 anastomoses

Claim · All claims
Evidence · 1 study · quant-synthesis r3 · q2
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person

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? The review reports, from included studies, that after 30 anastomoses on the simulator the learning curve stabilized. → O'Dwyer M 2022

Evidence

O'Dwyer M 2022

O'Dwyer M, Fleming CA, Ahern S, Barrett S, Raftery NB, Ní Dhonnchú T, Doddakula K. (2022). Objective improvement with coronary anastomosis simulation training: meta-analysis. BJS Open. https://doi.org/10.1093/bjsopen/zrab147

q2 · i? · quant-synthesis · r3

The review attributes this to its included studies (Fann, Maluf, Ito), citing them in the discussion of transition from simulation to real-life patients. The review reports this finding without printing effect sizes or test statistics.

"However, it has been identified that after 30 anastomoses on the simulator, the learning curve stabilized5,15,19."

Discussion

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