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. Author manuscript; available in PMC: 2024 Jul 20.
Published in final edited form as: Int J Cancer. 2022 Sep 5;152(2):172–182. doi: 10.1002/ijc.34235

Table 3.

Associations between select autoimmune conditions and all primary pancreatic cancers by histological subtypes in the SEER-Medicare database, 1992–2015a

Autoimmune conditions Control Pancreatic ductal adenocarcinomab
Pancreatic neuroendocrine tumorsc
N = 320,296 N = 76,321 ORd (95% CI) P value N = 2,102 OR (95% CI) P value
Ankylosing spondylitis 260 92 1.42 (1.12–1.81) 0.004 <11 1.88 (0.70–5.08) 0.21
Graves’ disease 1,010 307 1.18 (1.04–1.35) 0.01 <11 1.25 (0.65–2.43) 0.50
Localized scleroderma 522 155 1.24 (1.03–1.48) 0.02 <11 1.90 (0.85–4.28) 0.12
Pernicious anemia 6,112 1,724 1.08 (1.02–1.14) 0.008 45 1.19 (0.89–1.61) 0.25
Primary sclerosing cholangitis 602 271 1.38 (1.19–1.60) 2.8 × 10 −5 <11 0.87 (0.36–2.13) 0.77
Pure red cell aplasia 1,074 396 1.33 (1.18–1.49) 2.9 × 10 −6 <11 0.69 (0.29–1.67) 0.41
Type 1 diabetes 15,932 5,529 1.11 (1.07–1.15) 2.2 × 10 −9 146 1.02 (0.85–1.23) 0.79
Ulcerative colitis 1,585 477 1.16 (1.05–1.29) 0.005 23 1.78 (1.17–2.70) 0.007

Abbreviation: CI, confidence interval; FDR, false discovery rate; HMO, health maintenance organization; ICD-O, International Classification of Diseases for Oncology; IPMN, intraductal papillary mucinous neoplasm; NOS, not otherwise specified; OR, odds ratio; PDAC, pancreatic ductal adenocarcinoma; PNETs, pancreatic neuroendocrine tumors; SEER, Surveillance, Epidemiology, and End Results.

a

Autoimmune conditions showing the strongest associations with all primary pancreatic cancer cases by the univariate model in Table 2 (PFDR value < 0.10) were presented in this table. Results for pancreatic cancer subtypes other than PDAC or PNETs were not shown due to very small sample size. Cells with < 11 observations and any cell that could be used to derive the value of a cell with < 11 observations were suppressed to comply with SEER-Medicare data use agreement.

b

PDAC group was comprised of the following histological subtypes (ICD-O morphology codes): ductal adenocarcinoma, NOS (8140); ductal adenocarcinoma, excluding cystic/mucinous (8255, 8490, 8500, 8507, 8510, 8514, 8521, 8523, 8560, 8570); ductal, poorly specified (8000, 8010); ductal, specified as arising from an IPMN (8144, 8450, 8453, 8471, 8503); ductal, specified as cystic adenocarcinoma (8440, 8470, 8504); ductal, specified as mucinous adenocarcinoma (8480, 8481); other specified adenocarcinoma (8145, 8460).

c

PNETs group consisted of the following histological subtypes (ICD-O morphology codes): endocrine, carcinoid (8240, 8243, 8244, 8245); endocrine, non-secretory (8150, 8246); endocrine, secretory (8151, 8152, 8153, 8155).

d

Multivariable-adjusted unconditional logistic regression models were used to calculate OR and 95% CI, adjusting for age (grouped as 66–69, 70–74, 75–79, 80–84, 85–89, 90–99 years), sex, race/ethnicity (non-Hispanic White, non-Hispanic Black, Asian, Hispanic, other/unknown), calendar year of diagnosis/selection (1992–2000, 2001–2005, 2006–2009, 2010–2015), geographic region (SEER registry), Medicaid eligibility (ever, never), average number of physician visits per 6 months in the 5 years before diagnosis/selection (quintiles), average duration of Medicare part A, B, non-HMO coverage (quintiles), Medicare low-income subsidy (ever, never, unknown), overweight/obesity (ever, never diagnosed), smoking behavior-related diagnoses (ever, never diagnosed), chronic obstructive pulmonary disease (ever, never diagnosed), alcohol-related diagnoses (ever, never diagnosed), type 2 diabetes mellitus (ever, never diagnosed), acute/chronic pancreatitis (ever, never diagnosed).

NOTE: Associations that passed Benjamini-Hochberg correction (FDR = 0.10) were considered statistically significant and shown in bold.