Setting and data sources
This nationwide study of T2D prevalence and prognosis was designed to use prospectively collected data from Danish national health databases during the January 1, 1995 - December 31, 2015 period. The study was conducted within the setting of universal, tax-funded health care provided to all legal residents of Denmark by the National Health Service (16). All persons residing in Denmark are registered in the Danish Civil Registration System (CRS) and assigned a unique personal identification number, which enables accurate and individual-level data linkage among all Danish health and administrative registries (16–18). All registries and codes used in the analyses are described in Supplementary Tables 6–8.
The study was reported to the Danish Data Protection Agency by Aarhus University (record No. 2016-051-000001/1671).
Colorectal cancer patients
Patients with a first-time CRC diagnosis were identified from the Danish Cancer Registry (DCR). The DCR also provided information on CRC diagnosis date, location, and stage at diagnosis. CRCs were categorized using the following anatomic locations: proximal to the splenic flexure, distal to the splenic flexure, rectal, or unspecified/more than one site. CRCs also were categorized by stage at diagnosis according to the TNM classification: localized, regional, metastatic, or unknown.
Information on tumor histology at diagnosis and mismatch repair status (MMR) (when available) was obtained from the Danish National Pathology Registry (DPR). We categorized CRC histology as adenocarcinoma, polyp adenocarcinoma (i.e., invasive growth within an endoscopically well-defined polyp), mucinous carcinoma, and signet cell cancer. CRCs lacking a histological diagnosis in the DPR were categorized as “not histologically verified”. CRCs with an available test result for MMR status (N = 61.8%) demonstrating nuclear absence of at least one of four MMR proteins (MLH1, MSH2, MSH6, or PMS2) were categorized as MMR-deficient. CRCs with a test demonstrating normal MMR status were categorized as MMR-proficient.
In addition, we categorized CRCs according to surgeries performed, based on surgical codes from the Danish National Patient Registry (DNPR) recorded within 90 days following a CRC diagnosis.
Detected and post-colonoscopy colorectal cancers
We linked the CRC cohort to the DNPR to obtain information on colonoscopies performed within three years before the CRC diagnosis. By design, the study excluded all CRCs diagnosed in patients who did not undergo a colonoscopy during this prior three-year period. All included CRCs were categorized as either PCCRCs or CRC detected during colonoscopy (dCRCs). We defined PCCRCs in accordance with World Endoscopy (WEO) recommendations, i.e., CRC diagnosed > 6 to 36 months after a colonoscopy that found no CRC (1) and dCRCs as CRC diagnosed within 6 months after a colonoscopy.
Assessment of diabetes mellitus
We identified PCCRC and dCRC patients who also had a T2D diagnosis from the DNPR and the Danish National Health Service Prescription Database (DNHSPD). All patients who redeemed a prescription for a glucose-lowering drug and/or had a diagnosis of diabetes mellitus recorded before or within 90 days after the colonoscopy that failed to detect the CRC/precancerous lesion (for PCCRCs) or that detected the CRC (for dCRCs) were considered to be T2D patients. According to a previously reported algorithm (19), patients younger than 30 years of age, who had a registered diagnosis of diabetes or redeemed a prescription for a glucose-lowering drug before or within 90 days of the colonoscopy that either failed to detect or detected the CRC were considered to be have type 1 diabetes and were excluded from the study. We categorized T2D patients according to T2D duration, measured in years from first-time prescription of a glucose-lowering drug or a first-time T2D diagnosis until CRC diagnosis (< 1 year, 1–5 years, 6–10 years, and > 10 years). Patients without T2D were excluded.
Assessment of covariates
We collected data from the DPR on colorectal polyps detected before the diagnosis of CRC. We included sessile serrate lesions and conventional adenomas. If no information concerning polyps was found in the DPR, we searched the DNPR using codes for endoscopically performed polypectomies recorded before the CRC diagnosis. We collected information on comorbidities from all records available in the DNPR from 1977 until the date of CRC diagnosis. To characterize the study cohort, we obtained discharge diagnoses of chronic obstructive pulmonary disease, cardiovascular diseases including atrial fibrillation/flutter, renal disease, alcohol-related diseases (i.e., alcohol-related psychosis, alcoholism, alcohol intoxication, chronic alcoholic pancreatitis, alcoholic liver cirrhosis, steatosis, brain degenerative changes caused by alcohol, alcoholic myopathy, and alcoholic gastritis), and obesity. We used Charlson Comorbidity Index (CCI) scores as a measure of the burden of comorbidity. The CCI scoring system allocates from one to six points to a range of diseases, as components of a summed aggregate score. Patients were categorized into three subgroups according to their calculated CCI score: low (no comorbidities) = CCI score of 0; medium = CCI score of 1–2; or high = CCI score of 3 or more (Supplementary Table S8).
Statistics
We calculated prevalence proportions (PPs) and prevalence ratios (PRs) comparing characteristics of PCCRCs vs. dCRCs among T2D patients. The robust Poisson method was used to calculate PRs and associated 95% confidence intervals (CIs) (20).
We also followed the cohort of T2D patients from the date of CRC diagnosis until first occurrence of all-cause death, emigration, or the administrative end of follow-up (December 31, 2015). Survival probabilities were computed using the Kaplan-Meier technique. We used Cox-proportional hazard regression models to compute hazard ratios (HRs). No violation to the proportional hazard assumption was found. Crude and adjusted HRs and associated 95% CIs were used as an estimate of the mortality rate ratio (MRR) comparing PCCRC in T2D patients with dCRC in T2D patients. We constructed two separate regression models adjusted for potential confounders of the association between PCCRC and death. The first model included age, sex, and year of CRC diagnosis. To include the effect of more advanced CRC stage in PCCRC vs. dCRC, as suggested in a previous study(21), we constructed a second model including age, sex, year of CRC diagnosis, and CRC stage at diagnosis. Survival probabilities and HRs were computed for one year and for one to five years after a CRC diagnosis. In addition, we investigated 90-day and five-year survival after a PCCRC/dCRC diagnosis.
Sensitivity Analysis
Due to changing data availability over the study period, we identified T2D patients using both ICD-codes in the DNPR during 1977–2015 and prescription redemptions recorded in the DNHSPD during 2004–2015. We evaluated the impact of our identification method by conducting a sensitivity analysis restricted to patients who underwent colonoscopies during 2005–2015. In this analysis, we further evaluated the impact of our diabetes categorization (types 1 and 2) by extending the definition of type 1 diabetes mellitus to include patients with a DNPR diagnosis of diabetes before age 30, using insulin monotherapy, and with no history of oral glucose-lowering medications before the date of CRC diagnosis.
All data management and statistical analyses were conducted using Stata Version 15 (StataCorp, College Station, Texas, USA).