Optimizing prediction models for pancreatic fistula after pancreatectomy: Current status and future perspectives

Table 9 Postoperative pancreatic fistula prediction models after central pancreatectomy

Ref.	Year	Design cohort	Study period	CR-POPF (%)	Variables1	AUC (95%CI)
Ouyang et al[94]	2022	194	2009-2020	45.9	(2)(D)	0.678
Yang et al[95]	2023	115	2010-2022	30.4	(2)(4)(5)(6)	0.832 (0.751-0.895)
					(2)(4)(5)(6)(B)	0.827 (0.745-0.891)
					(1)(2)(4)(5)(6)(B)	0.828 (0.746-0.892)
					(1)(2)(3)(4)(5)(6)(a)	0.826 (0.744-0.890)
					(2)(4)(5)(6)(A)(B)	0.845 (0.766-0.906)
					(2)(4)(5)(6)(A)(B)	0.847 (0.768-0.907)
					(1)(2)(4)(5)(6)(A)(B)	0.823 (0.741-0.888)
					(1)(2)(3)(4)(5)(6)(A)(B)(a)	0.840 (0.760-0.902)
					(2)(3)(5)(6)(C)	0.758 (0.669-0.833)
					(2)(3)(5)(6)(B)(C)	0.748 (0.659-0.824)
					(1)(2)(3)(5)(6)(B)(C)	0.784 (0.698-0.855)
					(1)(2)(3)(5)(6)(C)(a)	0.750 (0.661-0.826)

¹From Table 3.

AUC: Area under the curve; CI: Confidence interval; CR-POPF: Clinically relevant postoperative pancreatic fistula.