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. 2024 May 24;24:1396. doi: 10.1186/s12889-024-18845-8

Table 1.

Distribution of NENs among patients in Beijing by primary tumor site and histology type, 1998–2018

All NENs SCLC&LCNEC Pulmonary carcinoid tumor Extrapulmonary NEC Extrapulmonary NET P value
Distribution, n(%) 12,896 (100.00) 9602 (74.46) 738 (5.72) 1735 (13.45) 821 (6.37)
Age at NEC diagnosis,
    mean ± SD 63.42 ± 11.77 64.45 ± 10.76 62.14 ± 12.07 61.76 ± 14.18 56.06 ± 13.88 χ2 = 318.24, P < 0.01
    mediana 65 65 63 63 56
Male sexa, n(%) 9209 (71.41) 7262 (75.63) 504(68.29) 1005(57.93) 438(53.35) χ2 = 372.97, P < 0.01
Urbana, n(%) 8546(66.27) 6161(64.16) 520(70.46) 1228(70.78) 637(77.89) χ2 = 87.68, P < 0.01
Tertiarya, n(%) 12,241 (94.92) 9080 (94.56) 710 (96.21) 1659 (95.62) 792 (96.47) χ2 = 10.90, P = 0.01
Ethnic Hana, n(%) 12,334 (95.64) 9248 (96.31) 692 (93.77) 1621 (93.43) 773 (94.15) χ2 = 41.35, P < 0.01

NEN Neuroendocrine neoplasm, NEC Neuroendocrine carcinoma, NET Neuroendocrine tumor, SD Standard deviation, SCLC Small cell lung cancer, LCNEC Large cell neuroendocrine carcinoma

aStatistically significant