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. 2021 Mar 15;124(10):1734–1743. doi: 10.1038/s41416-021-01304-1

Table 2.

Receiver operating curve AUCs for prediction of breast cancer from untargeted NMR features.

Study group (cases and matched controls) Number of cases and controlsa Median case time to diagnosis (years) k-fold cross-validation procedureb Receiver operating curve prediction accuracy for test set (AUC, 95% CI)c
All participants 1572 4.82 10-fold 0.51 (0.45–0.57)
Menopausal status at blood collection
 Pre-menopausal 354 5 5-fold, 5 times 0.61 (0.49–0.73)
 Post-menopausal 1218 4.77 10-fold 0.53 (0.46–0.59)
Age at diagnosis
 <55 years 265 2.7 5-fold, 5 times 0.63 (0.49–0.77)
 ≥55 years 1307 5.48 10-fold 0.49 (0.43–0.55)
Fasting status at blood collection
 Yes 572 4.73 10-fold 0.52 (0.43–0.62)
 No 1000 4.96 10-fold 0.53 (0.46–0.61)
Time from blood collection to cancer diagnosis
 <2 years 317 0.97 5-fold, 5 times 0.59 (0.46–0.72)
 <5 years 752 7.67 10-fold 0.51 (0.43–0.59)

AUC area under curve.

CIs were estimated by DeLong’s method.

aPlasma samples of unknown waiting time to fractionation (n = 10) were excluded.

bUsing a randomly selected 75% of the data.

cUsing a randomly selected 25% of the data excluded from model training.