The majority of South Koreans are obliged to take national health insurance [24]. The National Health Insurance Service (NHIS) manages the medical record information (age, sex, prescribed drug name, diagnosis, type of medical insurance, operation name, hospitalization and outpatient care) of Koreans (approximately 51 million people) who are subscribed to the program. The Health Insurance Review and Assessment Service (HIRA) is an arbitration agency that evaluates the appropriateness of medical care to prevent disputes over the payment of premiums between the Health Insurance Corporation and medical institutions. Therefore, the HIRA shares most of the medical record information of the National Health Insurance Corporation. This population-based retrospective cohort study was conducted using the database provided by HIRA from January 1st, 2007, to December 31st, 2020.
Selection Of Participants
We used the International Classification of Diseases, 10th revision (ICD-10) and Korea Health Insurance Medical Care Exposes (2016, 2019 version) for the selection and analysis of subjects. From January 1st, 2011, to December 31st, 2014, women aged 40 to 59 who underwent hysterectomy with uterine myoma or endometrial disease were selected as the hysterectomy group. Adnexal surgery was performed by extirpation of the adnexal tumor (unilateral or bilateral oophorectomy, unilateral or bilateral salpingo-oophorectomy, unilateral or bilateral salpingectomy, unilateral or bilateral ovarian cystectomy, incision and drainage of the ovarian cyst, ovarian wedge resection, and adhesional adnexectomy, and hysterectomy and adnexal surgery were performed on the same day. The day of hysterectomy was determined as the inclusion day. The no hysterectomy group included women aged 40–59 years who visited a medical institution for health checkups from January 1, 2011, to December 31, 2014, and those who underwent hysterectomy were excluded for the group. The first visit to the health examination was designated the inclusion day.
We excluded subjects who had any of the following cancer diagnosis codes (any Cxx) or gastrointestinal disease codes within 180 days before enrollment: K25 (gastric ulcer), K26 (duodenal ulcer), K27 (peptic ulcer), K28 (gastrojejunal ulcer), K31.7 (polyp of stomach and duodenum), K50 (Crohn’s disease), K51 (ulcerative colitis), K63.5 (polyposis of colon), or D51.0 (pernicious anemia).
Outcomes
Individuals were classified into the GI cancer group if they visited medical institutions more than 3 times with GI cancer diagnostic codes C15 (esophageal cancer), C16 (gastric cancer), C17 (cancer of small intestine), C18 (colon cancer; ascending, transverse, and descending colon), C19 (cancer of rectosigmoid junction; sigmoid cancer), or C20 (rectal cancer).
Variables
The medical insurance type was defined as low socioeconomic status (SES) when it was medical protection; the residential area was defined as rural area if it was nonmetropolitan. The Charlson Comorbidity Index (CCI) was obtained using the diagnostic code from the selection date of the study to the year before [25]. Parity was analyzed only for delivery in the entire cohort. We classified women who had a history of more than one adnexal surgery before hysterectomy as women with a history of adnexal surgery. We defined women who visited medical institutions more than once with a menopause-related diagnostic code before hysterectomy as menopause. The menopause-related diagnostic codes include N95.x (menopausal and other perimenopausal disorders), M80.0 (postmenopausal osteoporosis with pathological fracture), M81.0 (postmenopausal osteoporosis), and E28.3 (premature menopause), among others. Individuals who were prescribed their first MHT (menopausal hormone therapy) more than 180 days before the study were classified as having MHT before inclusion. Those who were prescribed their first MHT after inclusion were classified as having MHT after inclusion if the prescription date was 180 days or more after inclusion. MHT included tibolone, estradiol valerate, estradiol hemihydrate, dydrogesterone, norethisterone acetate, medroxyprogesterone acetate, drospirenone, and cyproterone, among others. Patients who visited medical institutions more than 3 times with gallbladder (GB) and biliary disease were defined as having gallbladder and biliary disease. The GB and biliary disease codes include K80 (Cholelithiasis), K81 (Cholecystitis), K82 (Other Diseases of gallbladder), K83 (Other Diseases of biliary tract), and K87 (Disorders of gallbladder, biliary tract and pancreas in diseases classification ed elsewhere), among others. The patients who visited medical institutions more than three times with uterine myoma (D25.x) or endometriosis (N80.x) were defined as having each of the relevant diseases. Death was defined as all cases of death during hospitalization.
Statistics
SAS Enterprise Guide 7.15 (SAS Institute Inc) and R 3.5.1 (The R Foundation for Statistical Computing) were used for statistical analysis. All statistical analyses were two-sided, and the results were defined as statistically significant if the p value was 0.05 or less. The analysis of categorical variables was carried out by Pearson’s chi-squared test or Fisher’s exact test, and t tests and Mann‒Whitney U tests were used for the analysis of continuous variables. We performed Cox regression analysis to correct the bias caused by confounding factors in the effect of hysterectomy on the risk of GI cancer. The first day for Cox analysis was set as the inclusion day of each group, and the last day was set as any GI cancer, the death date, or December 31st, 2020. We applied the listwise deletion method when the proportion of missing values for a statistical variable was less than 10% and the regression imputation method when the proportion of missing values was more than 10%. To confirm the robustness of our study, Cox regression analysis was performed on the risk of GI cancer in the laparotomic hysterectomy group (versus no hysterectomy group).
Ethics
This study was approved by the IRB of Sanggye Paik Hospital (Approval number: SGPAIK 2021-12-005). In this study, the identifying variables of individuals were removed (deidentification). In addition, the analysis of this study was conducted only on closed servers provided by HIRA, and results data (e.g., tables, statistical values) can only be taken out of the server. Therefore, there is no harm to the participants who participated in this study because the individual cannot be specified. Additionally, raw data cannot be offered. Accordingly, it is not necessary to provide informed content according to the Bioethics and Safety Act of South Korea. This study uses data provided by HIRA, but HIRA has no interest in this study.