Claims

3D-printed pediatric chest model with embedded force sensors distinguished skill levels where a conventional box trainer did not

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person · recheck by 2028: 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? In the Takazawa et al. study, skilled surgeons outperformed unskilled ones in six key metrics using the pediatric simulator, while no significant differences were found in the box trainer. → Zahradníková Petra 2025

Evidence

Zahradníková Petra 2025

Zahradníková Petra, Babala Jozef, Lindák Martin, Pechanová Rebeka, Hnilicová Silvia, Molnár Marián, Nedomová Barbora, Poš Lucie, Dotlačil Vojtěch, Kučerová Barbora. (2025). Systematic review of the training process of minimally invasive surgery in neonates and infants. Pediatric Surgery International. https://doi.org/10.1007/s00383-025-06095-7

q2 · i? · quant-synthesis · r2

Study in which 53 surgeons each performed an endoscopic intracorporeal suturing and knot-tying task on both a 3D-printed pediatric chest model with embedded force sensors and a conventional box trainer. The review reports "Skilled surgeons outperformed unskilled ones in six key metrics using the pediatric simulator".

"Skilled surgeons outperformed unskilled ones in six key metrics using the pediatric simulator, while no significant differences were found in the box trainer. The simulator effectively distinguished skill levels and offers valuable benchmarks for pediatric surgical training"

Discussion

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