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1.
Gynecol Oncol ; 161(2): 553-558, 2021 05.
Article in English | MEDLINE | ID: mdl-33608145

ABSTRACT

OBJECTIVE: To examine risk factors for Type I and Type II endometrial cancer (EC) and to directly compare the influence of risk factors for Type II with Type I tumors. Furthermore, to examine whether risk factors for high-grade Type I and Type II tumors differed from low-grade Type I tumors. METHODS: Women with EC diagnosed during 2000-2016 were identified in the Danish Cancer Registry. A case-control analysis was conducted with 1:15 random population controls matched on age and gender. Using conditional logistic regression, odds ratios and 95% confidence intervals on risk factors for Type I and II tumors were estimated. In case-case analyses, risk factors were evaluated in a direct comparison of cases grouped by tumor type and grade. RESULTS: We identified 6958 women with Type I EC and 1206 women with Type II EC. In the case-control analysis, nulliparity and diabetes were associated with increased risk of both tumor types, whereas hormone replacement therapy only increased the risk of Type I EC. When directly comparing Type I and II tumors, the influence of BMI ≥ 30, current smoking, and parity ≥ 3 was strongest for Type I EC. The associations for the majority of risk factors were similar for Type II and high-grade Type I tumors compared with low-grade Type II tumors. CONCLUSIONS: Risk factors for Type I and II tumors were overlapping suggesting that Type II tumors may be less estrogen-independent than previously anticipated. High-grade Type I tumors seemed to resemble Type II tumors more than low-grade Type I tumors.


Subject(s)
Endometrial Neoplasms/epidemiology , Adult , Aged , Case-Control Studies , Denmark/epidemiology , Female , Hormone Replacement Therapy/statistics & numerical data , Humans , Middle Aged , Parity , Risk Factors , Smoking/epidemiology
2.
Hum Reprod ; 34(6): 1139-1145, 2019 06 04.
Article in English | MEDLINE | ID: mdl-30927428

ABSTRACT

STUDY QUESTION: Is the risk of juvenile idiopathic arthritis (JIA) increased in children conceived after fertility treatment, and is an observed association caused by specific types of fertility treatment or by factors associated with the underlying infertility? SUMMARY ANSWER: The risk of JIA in children conceived after fertility treatment (any and specific types of fertility treatment) was not convincingly affected when compared with children born to fertile women. WHAT IS KNOWN ALREADY: It has been suggested that fertility treatment may affect the development of the immune system and thereby increase the risk of developing autoimmune diseases, including JIA. STUDY DESIGN, SIZE, DURATION: This retrospective population-based cohort study included all live-born children in Denmark between 1 January 1996 and 31 December 2012 (n = 1 084 184). The study population was followed from date of birth until first diagnosis of JIA as registered in the Danish National Patient Registry, date of 16th birthday, date of emigration, date of death or end of follow-up (31 December 2014), whichever occurred first. PARTICIPANTS/MATERIALS, SETTING, METHODS: The study cohort was linked to the Danish Infertility Cohort in order to identify children born to women with fertility problems (n = 174 702) and fertility treatment (n = 89 931). Cox proportional hazard regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) adjusted for potential confounders. MAIN RESULTS AND THE ROLE OF CHANCE: During a median follow-up period of 10.3 years, 2237 children were diagnosed with JIA. Children born to women with fertility problems had an increased risk of JIA (HR 1.18, 95% CI 1.05-1.32) compared with children born to fertile women. However, the risk was not increased in children conceived after any fertility treatment (HR 1.11; 95% CI 0.95-1.29), or after specific types of fertility treatment being ART (HR 1.05; 95% CI 0.83-1.33), IVF (HR 1.01; 95% CI 0.73-1.38), ICSI (HR 0.98; 95% CI 0.64-1.50) or any fertility drugs (HR 1.10; 95% CI 0.94-1.28) compared with children born to fertile women. The associations between fertility treatment and JIA were also assessed by using children born to women with fertility problems without fertility treatment in the index pregnancy as a reference group, however, the findings did not change substantially. LIMITATIONS REASONS FOR CAUTION: Despite a large study population, the statistical precision in some subgroup analyses may be affected due to the low number of JIA cases. There may be some misclassification of fertility problems, as some women have undiagnosed fertility problems and are therefore not included in the Danish Infertility Cohort; potentially leading to slight attenuation of the association between fertility problems and JIA. WIDER IMPLICATIONS OF THE FINDINGS: The results are based on national data and our findings can therefore be applied to other similar populations. Our results indicate that fertility treatment per se do not increase the risk of JIA but merely that the increased risk of JIA observed among children born to women with fertility problems may be due to underlying factors related to both infertility and JIA. However, as this is the first large study in this field, further studies are needed to confirm our findings. STUDY FUNDING/COMPETING INTEREST(S): The study was supported by grants from the Jascha Foundation, the Aase and Ejner Danielsens Foundation and The Danish Rheumatism Association. All authors report no conflicts of interest. TRIAL REGISTRATION NUMBER: N/A.


Subject(s)
Arthritis, Juvenile/epidemiology , Fertility Agents/adverse effects , Fertilization in Vitro/adverse effects , Infertility, Female/therapy , Maternal Exposure/adverse effects , Adult , Arthritis, Juvenile/immunology , Child , Child, Preschool , Denmark/epidemiology , Drug Prescriptions/statistics & numerical data , Female , Fertilization in Vitro/methods , Fertilization in Vitro/statistics & numerical data , Follow-Up Studies , Humans , Infertility, Female/immunology , Maternal Age , Paternal Age , Registries/statistics & numerical data , Retrospective Studies , Risk Assessment , Risk Factors
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