scholarly journals Risk of infertility in female adolescents and young adults with cancer: a population-based cohort study

2021 ◽  
Author(s):  
M P Velez ◽  
H Richardson ◽  
N N Baxter ◽  
Chad McClintock ◽  
E Greenblatt ◽  
...  

Abstract STUDY QUESTION Do female adolescents and young adults (AYAs) with cancer have a higher risk of subsequent infertility diagnosis than AYAs without cancer? SUMMARY ANSWER Female AYAs with breast, hematological, thyroid and melanoma cancer have a higher risk of subsequent infertility diagnosis. WHAT IS KNOWN ALREADY Cancer therapies have improved substantially, leading to dramatic increases in survival. As survival improves, there is an increasing emphasis on optimizing the quality of life among cancer survivors. Many cancer therapies increase the risk of infertility, but we lack population-based studies that quantify the risk of subsequent infertility diagnosis in female AYAs with non-gynecological cancers. The literature is limited to population-based studies comparing pregnancy or birth rates after cancer against unexposed women, or smaller studies using markers of the ovarian reserve as a proxy of infertility among female survivors of cancer. STUDY DESIGN, SIZE, DURATION We conducted a population-based cohort study using universal health care databases in the province of Ontario, Canada. Using data from the Ontario Cancer Registry, we identified all women 15–39 years of age diagnosed with the most common cancers in AYAs (brain, breast, colorectal, leukemia, Hodgkin lymphoma, non-Hodgkin lymphoma, thyroid and melanoma) from 1992 to 2011 who lived at least 5 years recurrence-free (Exposed, n = 14,316). Women with a tubal ligation, bilateral oophorectomy or hysterectomy previous to their cancer diagnosis were excluded. We matched each exposed woman by age, census subdivision, and parity to five randomly selected unexposed women (n = 60,975) and followed subjects until 31 December 2016. PARTICIPANTS/MATERIALS, SETTING, METHODS Infertility diagnosis after 1 year of cancer was identified using information on physician billing codes through the Ontario Health Insurance Plan database (ICD-9 628). Modified Poisson regression models were used to assess the risk of infertility diagnosis (relative risk, RR) adjusted for income quintile and further stratified by parity at the time of cancer diagnosis (nulliparous and parous). MAIN RESULTS AND THE ROLE OF CHANCE Mean age at cancer diagnosis was 31.4 years. Overall, the proportion of infertility diagnosis was higher in cancer survivors compared to unexposed women. Mean age of infertility diagnosis was similar among cancer survivors and unexposed women (34.8 years and 34.9 years, respectively). The overall risk of infertility diagnosis was higher in cancer survivors (RR 1.30; 95% CI 1.23–1.37). Differences in infertility risk varied by type of cancer. Survivors of breast cancer (RR 1.46; 95% CI 1.30–1.65), leukemia (RR 1.56; 95% CI 1.09–2.22), Hodgkin lymphoma (RR 1.49; 95% CI 1.28–1.74), non-Hodgkin lymphoma (RR 1.42; 95% CI 1.14, 1.76), thyroid cancer (RR 1.20; 95% CI 1.10–1.30) and melanoma (RR 1.17; 95% CI 1.01, 1.35) had a higher risk of infertility diagnosis compared to women without cancer. After stratification by parity, the association remained in nulliparous women survivors of breast cancer, leukemia, lymphoma and melanoma, whereas it was attenuated in parous women. In survivors of thyroid cancer, the association remained statistically significant in both nulliparous and parous women. In survivors of brain or colorectal cancer, the association was not significant, overall or after stratification by parity. LIMITATIONS, REASONS FOR CAUTION Non-biological factors that may influence the likelihood of seeking a fertility assessment may not be captured in administrative databases. The effects of additional risk factors, including cancer treatment, which may modify the associations, need to be assessed in future studies. WIDER IMPLICATIONS OF THE FINDINGS Reproductive health surveillance in female AYAs with cancer is a priority, especially those with breast cancer, leukemia and lymphoma. Our finding of a potential effects of thyroid cancer (subject to over-diagnosis) and, to a lesser extent, melanoma need to be further studied, and, if an effect is confirmed, possible mechanisms need to be elucidated. STUDY FUNDING/COMPETING INTEREST(S) Funding was provided by the Faculty of Health Sciences and Department of Obstetrics and Gynecology, Queen’s University. There are no competing interests to declare. TRIAL REGISTRATION NUMBER N/A

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e13099-e13099
Author(s):  
Tehillah S Menes ◽  
Tal Sella ◽  
Gabriel Chodick

e13099 Background: Reports on delay to diagnosis of cancer in young women are based on retrospective studies and conflicting. The purpose of this study was to investigate time to cancer diagnosis in women presenting to a surgeon with breast-related complaints; and particularly, the role of age. Methods: A population-based cohort study including all women aged 18 to 44 presenting to a surgeon with a breast-related complaint between 2005 and 2015 in a large Israeli healthcare plan (N = 157,264). We collected data including demographics, diagnosis codes, breast imaging and biopsies. Breast cancer diagnosis within one year of the visit was ascertained from the national cancer registry. Time to breast imaging and biopsy was compared between the different age groups. Logistic regression analysis was used to determine the association between age and delay to biopsy while adjusting for possible confounders. Results: During the first year after the visit, 45,434 (29%) women had a breast imaging study; 5,767 (3.7%) women had a breast biopsy; and 676 (0.43%) were diagnosed with breast cancer. Overall, time to first breast imaging (mean, 53 days) and biopsy (mean, 68 days) did not differ significantly between the age groups. Non-specific visit codes (other than breast mass) were associated with delays to imaging and biopsy. This was more pronounced in the women ultimately diagnosed with breast cancer. Among women diagnosed with breast cancer, age under 40 (OR 2.3, 95% CI 1.4; 3.9), being post-partum (OR 2.6, 95% CI 1.1; 5.9) and a non-specific visit code (OR-8.3, 95% CI 4.9; 14.2) were associated with delay to biopsy. Conclusions: Symptomatic women with lower a-priori likelihood of breast malignancy (younger age, post-partum, or non-specific visit code) are at a significantly greater risk of delayed diagnosis of cancer. Physicians should be aware of the challenging diagnosis in young women with non-specific symptoms.


2016 ◽  
Vol 174 (4) ◽  
pp. 550-562 ◽  
Author(s):  
Renhua Na ◽  
Maarit A. Laaksonen ◽  
Andrew E. Grulich ◽  
Nicola S. Meagher ◽  
Geoffrey W. McCaughan ◽  
...  

BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e040253
Author(s):  
Anna Jansana ◽  
Isabel Del Cura ◽  
Alexandra Prados-Torres ◽  
Teresa Sanz Cuesta ◽  
Beatriz Poblador-Plou ◽  
...  

IntroductionBreast cancer has become a chronic disease due to survival improvement and the need to monitor the side effects of treatment and the disease itself. The aim of the SURBCAN study is to describe comorbidity, healthcare services use and adherence to preventive recommendations in long-term breast cancer survivors and to compare them with those in women without this diagnosis in order to improve and adapt the care response to this group of survivors.Methods and analysisPopulation-based retrospective cohort study using real-world data from cancer registries and linked electronic medical records in five Spanish regions. Long-term breast cancer survivors diagnosed between 2000 and 2006 will be identified and matched by age and administrative health area with women without this diagnosis. Sociodemographic and clinical variables including comorbidities and variables on the use of health services between 2012 and 2016 will be obtained from databases in primary and hospital care. Health services use will be assessed through the annual number of visits to primary care professionals and to specialists and through annual imaging and laboratory tests. Factors associated with healthcare utilisation and comorbidities will be analysed using multilevel logistic regression models. Recruitment started in December 2018.Ethics and disseminationThis study was approved by the Ethics Committee of Parc de Salut Mar. The results of the study will be published in a peer-reviewed journal and will be presented at national and international scientific conferences and at patient associations.Trial registration numberThis protocol is registered in Clinical Trials.gov (identifier: NCT03846999).


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 1564-1564
Author(s):  
Helena Carreira ◽  
Rachael Williams ◽  
Garth Funston ◽  
Susannah Jane Stanway ◽  
Krishnan Bhaskaran

1564 Background: Breast cancer survivors are the largest group of cancer survivors in the United Kingdom (UK). Having had a breast cancer diagnosis may adversely affect the patient’s mental health. We aimed to estimate the long-term risk of anxiety and depression in women with history of breast cancer compared to those who have never had cancer. Methods: We conducted a matched population-based cohort study, using data from the Clinical Practice Research Datalink (CPRD) GOLD primary care database. The exposed cohort included all adult women diagnosed with breast cancer between 1987 and 2018; the unexposed group included women with no cancer history, matched to exposed women in a 4:1 ratio on primary care practice and age. Cox regression models stratified on matched set were used to estimate hazard ratios of the association between breast cancer survivorship and anxiety and depression. Results: 59,972 women (mean 62 years; standard deviation (SD) 14.0) had history of breast cancer. The median follow-up time was 3.0 years (SD 4.4), which amounted to 256,186 person-years under observation. The comparison group included 240,387 women followed up over 3.5 years (SD 4.5) (1,163,819 person-years). The incidence of anxiety in breast cancer survivors was 0.08 (95% confidence interval (95%) 0.07-0.08) per 1000 person-years, and the incidence of depression was 70 (95%CI 68-71) per 1000 person-years. The risks of both depression and anxiety were raised in breast cancer survivors compared with controls, and this appeared to be driven by the first 3 years following diagnosis (Table). Conclusions: Breast cancer survivors in the UK had significantly higher risk anxiety and depression diagnosed in primary care for three years following diagnosis than women who never had cancer. Risk of anxiety and depression in breast cancer survivors compared to women who did not have cancer by time since diagnosis. [Table: see text]


BMJ Open ◽  
2017 ◽  
Vol 7 (3) ◽  
pp. e014968 ◽  
Author(s):  
Hannah L Brooke ◽  
Gunilla Ringbäck Weitoft ◽  
Mats Talbäck ◽  
Maria Feychting ◽  
Rickard Ljung

2004 ◽  
Vol 96 (9) ◽  
pp. 709-711 ◽  
Author(s):  
H. T. Sorensen ◽  
L. Mellemkjaer ◽  
G. L. Nielsen ◽  
J. A. Baron ◽  
J. H. Olsen ◽  
...  

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