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. 2023 Jan 31;12(7):8897–8910. doi: 10.1002/cam4.5643

TABLE 6.

Univariate logistic regression analysis of “IFS under‐diagnoses or not” and “IFS over‐diagnoses or not” in detecting high‐grade.

IFS detecting high‐grade EA Accurate‐diagnoses Under‐diagnoses Under‐diagnoses or not Over‐diagnoses Over‐diagnoses or not
OR 95% CI p Value OR 95% CI p Value
Menopause
Pre 1,215 (42.77) 75 (38.07) 1 0.198 43 (53.75) 1 0.052
Post 1,626 (57.23) 122 (61.93) 1.215 (0.903–1.636) 37 (46.25) 0.643 (0.412–1.004)
Atypical hyperplasia
No 2,368 (82.94) 170 (85.43) 1 0.366 68 (83.95) 1 0.812
Yes 487 (17.06) 29 (14.57) 0.829 (0.553–1.244) 13 (16.05) 0.930 (0.510–1.696)
Uterine diseases (myoma or adenomyosis)
No 2,530 (88.62) 180 (90.45) 1 0.429 65 (80.25) 1 0.023
Yes 325 (11.38) 19 (9.55) 0.822 (0.505–1.337) 16 (19.75) 1.916 (1.096–3.351)
Caesarean section
No 2,542 (89.48) 173 (87.82) 1 0.466 70 (87.50) 1 0.572
Yes 299 (10.52) 24 (12.18) 1.179 (0.757–1.838) 10 (12.50) 1.215 (0.619–2.381)
Abortion history
No 1,185 (41.71) 87 (44.16) 1 0.500 34 (42.50) 1 0.888
Yes 1,656 (58.29) 110 (55.84) 0.905 (0.676–1.210) 46 (57.50) 0.968 (0.618–1.518)
Deep MI
No 2,476 (86.73) 162 (81.41) 1 0.036 71 (87.65) 1 0.808
Yes 379 (13.27) 37 (18.59) 1.492 (1.027–2.167) 10 (12.35) 0.920 (0.470–1.800)

Abbreviations: IFS, intraoperative frozen section; High‐grade EA, endometrioid adenocarcinoma with grade 3; MI, myometrial invasion; OR, dominance ratio.