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. 2024 Nov 16;104(3):1427–1442. doi: 10.1007/s00277-024-06079-y

Table 3.

Prognostic Models in Follicular Lymphoma and Correlation with POD24

Study N Accuracy Sensitivity Specificity PPV NPV
Jurinovic18

GLSG (N=132)/

BCCA (N=102)

FLIPI 67%/64% 78%/70% 56%/58% 27%/33% 92%/87%
m7-FLIPI 70%/65% 61%/43% 79%/86% 38%/48% 91%/84%
POD24-PI 73%/67% 78%/61% 67%/73% 33%/40% 94%/87%
Huet77 N = 488 23-gene predictor - 43% 79% 38% 82%
Mir75 N = 1202 FLEX - 60% 68% - -
FLIPI - 53% 58% - -
FLIPI-2 - 53% 59% - -
PRIMA-PI - 69% 48% - -
Kuroki19 N = 45 High TLG and non-CR/CMR 89% 56% 100% 100% 87%
Hu89 N = 135 PRIMA-PI 54% 75% 50%
PRIMA-PIC 56% 92% 48%
Bachy16 N = 1135 Low-risk interm-risk high-risk P
FLIPI 16% 21% 31% 1.36*10− 5 -
PRIMA-PI 14% 21% 38% 1.41*10− 12 -
Tobin93 Low PD-L2 highPD-L2 P
discovery cohort(N = 198) PD-L2 45.70% 16.30% 0 .001
GLSG2000(N = 138) 54.2% 14.30% 0.011
BCCA(N = 45) 46.70% 24.00% 0.011

PPV positive predictive value, NPV negative predictive value, FLIPI follicular lymphoma international prognostic index, POD24-PI progression of disease within 24 months prognostic index, FLEX follicular Lymphoma Evaluation Index PRIMA-PI PRIMA-Prognostic Index TLG total lesion glycolysis, non-CR/CMR less than complete [metabolic] response