Table 3.
Baseline patient characteristics according to the type of diagnostic criteria used (definite or probable)
| Patient characteristics (N = 4417) | Definite NETs (n = 1546) | Probable NETs (n = 2871) | p value |
|---|---|---|---|
| Population, n (%) | 1546 (35.0) | 2871 (65.0) | |
| Male, n (%) | 817 (52.9) | 1483 (51.7) | 0.4677a |
| Age, years, mean (SD) | 62.2 (13.1) | 66.0 (11.8) | < 0.001b |
| Type of NETs, n (%) | |||
| NETs with carcinoid syndrome | 520 (33.6) | 0c | |
| Other functional NETs | 109 (7.1) | 0c | |
| Non-functional NETs | 0 | 2871 (100.0) | |
| NETs unclassifiable as functional or not | 917 (59.3) | 0c | |
| NET localization, n (%) | |||
| GEP-NET | 1295 (83.8) | 1461 (50.9) | < 0.0001a |
| Lung | 56 (3.6) | 166 (5.8) | 0.0022a |
| Ovary/uterus | 0 (0.0) | 175 (6.1) | |
| Other | 44 (2.9) | 160 (5.6) | < 0.0001a |
| Multiple | 0 (0.0) | 5 (0.2) | |
| Unknown | 151 (9.8) | 904 (31.5) | < 0.0001a |
GEP-NET gastroenteropancreatic neuroendocrine tumor, NET neuroendocrine tumor
aChi-squared test
bStudent’s t test
cThe group of probable NETs did not include carcinoid tumors or other functional tumors because these tumors had either specific ICD-10 codes or identifiable biological assays in the database that have allowed definite identification of these tumors