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A population-based study of rates of childbirth in recurrence-free female young adult survivors of Non-gynecologic malignancies
© Baxter et al.; licensee BioMed Central Ltd. 2013
Received: 2 July 2012
Accepted: 12 January 2013
Published: 23 January 2013
Fertility is an important issue for long-term survivors of malignancies developing during reproductive years. We designed a population-based study to investigate childbirth in female young adult survivors of non-gynecologic malignancies.
Women 20–34 years diagnosed with non-gynecologic malignancies in Ontario from 1992–1999 who lived at least 5 years recurrence-free were identified using the Ontario Cancer Registry and age matched to 5 randomly selected cancer-free women. Childbirth was determined through hospital discharge data. Time-to-childbirth was compared between survivors and controls using Cox proportional hazard regression for all subjects and stratified by prior childbirth and disease site.
3,285 survivors and 15,118 control women had a median of 12 years observation. 1,194 survivors and 6,049 controls experienced childbirth to the end of observation (March 2011). Overall, survivors experienced a longer time to childbirth than controls (HR 0.92, 95% CI 0.87-0.98), however this was limited to survivors with prediagnosis childbirth (HR 0.76, 95% CI 0.66-0.86). Survivors with no prediagnosis childbirth experienced a similar time to childbirth (HR 1.00, 95% CI 0.93-1.08) as control women. Differences between survivors and controls varied by type of malignancy; notably for those with prediagnosis childbirth, survivors of breast cancer (HR 0.45, 95% CI 0.29-0.68) and Hodgkin Disease (HR 0.57, 95% CI 0.36-0.91) had lower rates of postdiagnosis childbirth than controls.
Long-term female young adult survivors of malignancies are less likely than controls to have childbirth after diagnosis; the overall effect is small and is influenced by prediagnosis childbirth and malignancy type.
Future fertility is important to many long-term survivors of malignancies that develop in the peak years of reproduction. With increasing numbers of women having children at later ages, even more cancer survivors will face this issue . In recognition of the importance of future fertility, the American Society of Clinical Oncology published guidelines recommending discussion of the risk of infertility as a consequence of cancer treatment and referral for consideration of fertility preservation techniques when appropriate . Although fertility is a common concern for young adult survivors (YAS) of malignancy and the clinicians caring for them, there are relatively few population-based studies addressing this issue in the literature. Studies from Finland  and Norway [4, 5] demonstrate reduced fertility in the YAS population as compared to the general population or matched controls, however these studies include patients diagnosed over a long time period (as early as 1953 ) and reflect treatment regimens that have changed over time. Additionally, these studies include all patients who developed a malignancy at a young age including those with advanced disease and patients with rapid recurrence after treatment and thus may underestimate fertility in long-term survivors. Fertility of 5-year female survivors of childhood cancers has been evaluated as part of the Childhood Cancer Survivor Study . Compared to sibling controls, the relative risk for female survivors ever being pregnant was 0.81 (95% confidence interval 0.73-0.90), but these findings have limited application to the YAS population. Other published studies include patients diagnosed with a single type of malignancy, and tend to be small, uncontrolled single institutions reports [7–10]. We therefore designed this study to evaluate childbirth in a population-based group of female young adult survivors of malignancy in Ontario Canada compared with matched control participants without a cancer diagnosis.
We designed a retrospective, population-based cohort study using a provincial cancer registry linked to administrative data sets.
The Ontario Cancer Registry (OCR) includes information on all incident cancers diagnosed since 1964 in Ontario. Reporting is provincially mandated and over 95% complete . The OCR does not maintain information on tumor stage and does not contain treatment information.
The Ontario Health Insurance Plan (OHIP) database contains information on claims billed by physicians for services, permitting identification of virtually all medical procedures occurring in Ontario.
The Canadian Institute for Health Information Discharge Abstract Database (CIHI-DAD), contains information on every patient discharged from a hospital or same-day surgery unit in Ontario and is highly accurate for admissions for pregnancy and childbirth .
The Registered Persons Database (RPBB) is a roster of all OHIP beneficiaries (virtually all individuals living in Ontario) and includes demographic information and length of eligibility.
Diagnostic and procedure codes used in this study are presented in Additional file 1.
Selection of survivors
Female YAS were identified using the OCR. While the definition of a YAS varies , we limited our cohort to women age 20 through 34 at diagnosis. All female young adults registered in the OCR between 1992 (when datasets became reliably linkable) and 1999 (to enable substantive follow up for all 5 year survivors) were eligible for inclusion. Women were excluded if they died within five years of diagnosis, were diagnosed with a gynaecological malignancy, were registered in OCR for a previous malignancy, or were not continuously eligible for provincial health insurance coverage for at least seven years after diagnosis (or until death).
Identification of recurrence
Recurrence of malignancy is likely to have an influence on childbearing but the OCR does not include information on cancer recurrence. We therefore developed an algorithm to identify survivors with evidence of recurrent disease from physician claims and diagnostic codes based on use of chemotherapy, palliative care, or diagnosis of metastatic disease (Additional file 1). Patients with a solid tumor malignancy undergoing a second course of chemotherapy (or third course in the case of hematologic malignancies) after completion of adjuvant therapy, or delivery of a first course of chemotherapy more than 6 months after completion of cancer directed surgery were considered to have disease recurrence. Survivors identified with recurrent disease within the first 5 years of diagnosis were excluded entirely. Survivors developing recurrent disease after 5 years of survivorship were censored 6 months before the date recurrence was identified as the exact date of recurrence could not be obtained.
Selection of controls
A female control population was selected using the RPDB. Eligible women from the general population were matched to the survivors based on calendar year of birth and geographic location. Five controls were randomly selected without replacement from all potential controls matched to a given survivor. Controls were assigned a referent date that corresponded to the date of diagnosis in the matched survivor. Controls were excluded if they had a diagnosis of cancer prior to the referent date (determined through linkage with the OCR), died within five years of the referent date, or were not continuously eligible for provincial health insurance for at least seven years after the referent date.
Identification of surgical sterilization
We identified women who had undergone a procedure consistent with surgical sterilization (tubal ligation, bilateral oophorectomy, hysterectomy) based on OHIP and CIHI-DAD codes. Survivors and controls with evidence of surgical sterilization at any time prior to diagnosis or up to 12 months after diagnosis or referent date were excluded. Individuals undergoing surgical sterilization more than 1 year after diagnosis or referent date were censored on the date of surgical sterilization.
We identified admission for childbirth for all members of our cohort from Jan 1, 1987 through March 31, 2011 from information from CIHI-DAD. Delivery of an infant, live or stillborn over 20 weeks gestational age, as coded in CIHI was considered evidence of childbirth for this study.
For survivors and controls we determined income quintile, defined by the census dissemination area where individuals lived at the date of diagnosis or referent date. We considered childbirth prior to the date of diagnosis or referent date a potential covariate. For the survivor group we evaluated rates of delivery by diagnosis, categorizing survivors into broad groups including the diagnoses with at least 100 women (brain, breast, Hodgkin lymphoma, non-hodgkin lymphoma [NHL], melanoma, thyroid and other malignancies).
We calculated descriptive statistics for study variables stratified for survivors and controls. The outcome of interest was childbirth occurring at least one year after the date of diagnosis (survivors) / referent date (controls). The one year interval was used to ensure that childbirth was a result of post-diagnosis pregnancy. We calculated the time between diagnosis or referent date to the time of admission to hospital for childbirth for each subject. Patients were censored at death, loss-to-follow-up, surgical sterilization, 6 months prior to evidence of recurrent disease, or March 31, 2011, whichever came first. Multivariate analyses with the Cox proportional hazards regression model were conducted to evaluate the relationship between time to childbirth and covariates such as YAS (yes or no), income quintile, age (treated as continuous), and previous childbirth (children born prior to diagnosis or referent date, yes or no). did not consider childbirth from 0–12 months from diagnosis/referent date in our analysis. We tested the interaction between the survivor indicator and previous childbirth. Since this interaction term was highly significant, we further matched survivors and corresponding controls on previous childbirth and stratified the analysis based on this variable. That is, the first and second stratum consists of all survivors and corresponding matched controls with and without, respectively, children born prior to diagnosis or referent date. The Cox regression model for each stratum included YAS, income quintile, and age. To account for the matched design with a variable number of controls per survivor (due to further matching by previous childbirth), we used a robust sandwich variance estimator approach to estimate the standard errors of the Cox regression parameter estimates . The proportional hazards assumption was tested and was not violated. We repeated the analysis without censoring patients for recurrence after 5 years as a sensitivity analysis.
We analyzed data using SAS version 9.2 (Cary, North Carolina). All statistical tests were two-sided, and p-values less than 0.05 were considered statistically significant. The study was approved by the Research Ethics Board of St. Michael’s Hospital, Toronto, Ontario. All data analysis was conducted at the Institute for Clinical Evaluative Sciences, a Section 45 (1) prescribed entity in Ontario’s Personal Health Information Protection Act. The data used are not freely accessible; permission for the use of the data was given by the Institute for Clinical Evaluative Sciences.
Characteristics of female young adult survivors and their matched controls
No Prediagnosis Childbirth
Young Survivors (N = 3,285)
Controls (N = 15,176)
Young Survivors (N = 1,093)
Controls (N = 2,066)
Young Survivors (N = 2,192)
Controls (N = 6,937)
Age, Mean (SD)
Median Follow-up in survivors without childbirth
Diagnosis Year (%)
Income Quintile (%)
Surgical Sterilization 12 months or more after Diagnosis or Referent Date (%)
Childbirth prior to diagnosis or Referent Date (%)
Childbirth 12 months or more after Diagnosis or Referent Date (%)
Mean number of deliveries
12 Months or more post diagnosis/referent date
At any time pre or post diagnosis/referent date
Cumulative 10-year delivery rate
Rates of childbirth 12 months after diagnosis / referent date over time
Type of Malignancy
N (% of total)
% Childbirth Prediagnosis
Mean # Postdiagnosis Deliveries
Cumulative 10-year Rate of Childbirth (%)
Results of multivariable cox proportional hazards model evaluating time to childbirth more than 1 year after diagnosis/referent date by survivor status
Women with childbirth before diagnosis
Women with no childbirth before diagnosis
In this population based study of young female survivors of non-gynecological malignancy, time to childbirth was greater than age-matched women with no history of malignancy; as compared to matched controls over a median observation time period of 12 years after diagnosis although the difference was small (HR 0.92, 95% CI 0.87–0.98). Notably, the relationship between childbirth and survivor status varied significantly by history of previous childbirth; survivors with no history of previous childbirth actually had a similar likelihood of postdiagnosis childbirth as matched controls, while for those with children postdiagnosis childbirth was reduced by 24%.
There are 3 previously published population-based studies of pregnancy and parenthood after a diagnosis of any malignancy in young adults [3–5]; all included patients diagnosed from the 1960s. Only one study, conducted in Norway , included all survivors irrespective of parenthood status before diagnosis and found, similar to our study, a significant relationship between previous pregnancy and the rate of postdiagnosis pregnancy – overall the rate of pregnancy was lower in female cancer patients than controls (HR 0.61) however this was more pronounced for women with a child prior to diagnosis (HR 0.52) than for those without a child (HR 0.73). A large cohort study of young adults treated at a single institution in Norway [15, 16] demonstrated similar findings. Variations in attitudes towards parenthood may be the cause of this finding. Perceptions of young adult cancer survivors with respect to fertility has been found to vary with parenthood status; childless survivors have been found more likely to desire future children and are less likely to perceive that the diagnosis of cancer has negatively influenced their desire for future children than survivors with children .
The two additional population-based studies [3, 4] evaluated first time parenthood (i.e. deliveries in survivors with no children prior to diagnosis) in survivors. Syse et al  demonstrated a 27% reduction in parenthood in women diagnosed with cancer between age 17–44 as compared to the population while Madanat  demonstrated a 54% reduction in parenthood in women diagnosed with cancer between age 0–34 as compared to sibling controls. These studies demonstrated a greater impact of cancer diagnosis on postdiagnosis pregnancy or parenthood than ours and this may be explained in a number of ways. The studies were not limited to patients surviving cancer, and they therefore included individuals with advanced disease at diagnosis, those with limited life expectancy and patients who developed recurrence within a short period of follow up. Such patients would be expected to have a lower rate of pregnancy than long-term survivors. Additionally, these studies included patients diagnosed over a long period of time – all found higher rates of pregnancy in young adult patients treated in more contemporaneous time periods, although follow up of patients in the later time periods in these studies was limited. Finally, we did not include patients with gynaecologic malignancies, a group most likely to undergo surgical sterilization as part of treatment.
Type of malignancy was associated with obstetrical delivery post-diagnosis. Breast cancer survivors who had a history of prior childbirth had a marked reduction in the rate of postdiagnosis childbirth (HR 0.45, 95% CI 0.29–0.68) as compared with controls. There are a number of factors that may influence the fertility of women after a diagnosis of breast cancer [18, 19]. Many young women who develop breast cancer receive chemotherapy to improve their chance of survival but are therefore at risk of chemotherapy-related amenorrhea, premature ovarian failure and infertility. Exposure to prolonged hormonal therapy in women with ER positive breast cancer reduces fertility for the duration of exposure. However, given that women with breast cancer with no prediagnosis childbirth had similar rates of childbirth to controls (HR 0.90, 95% HR 0.72–1.13) decreased fertility in these patients is likely an incomplete explanation of our finding. Although studies have not demonstrated a negative impact of pregnancy on breast cancer outcome [20, 21] it is possible that women may delay or avoid pregnancy for fear of recurrence with the estrogen stimulation of pregnancy; this effect may be more pronounced in women who have had children. Survivors of Hodgkin Disease who had prior childbirth were similarly less likely to experience postdiagnosis deliveries (0.57, 95% CI 0.36–0.91) than control women. Patients with Hodgkin Disease are frequently exposed to oophorotoxic chemotherapy and premature ovarian failure is common after bone marrow transplantation . However, the cumulative 10-year rate of childbirth in YAS with Hodgkin Disease was substantial (Hodgkins 43.2%) and only 3.2% lower than matched controls.
This is a large population-based study and all patients included were treated since 1990 with therapeutic interventions more likely to be relevant to today’s survivors than many previous studies. Additionally, by limiting our sample to 5 year survivors we excluded most women with advanced disease, limited life expectancies and early recurrence, groups with expected lower rates of childbirth. Inclusion of these women would tend to overestimate the impact of a cancer diagnosis on childbirth for long-term survivors. Our study, with observation to March 2011 provides over 10 years of potential follow up to all women included in the cohort. Our study however does have limitations. To ensure a contemporary cohort of 5-year survivors with sufficient follow up we have restricted our cohort to an 8 year period and therefore the sample size for some types of malignancies is small. Additionally, information regarding childbirth is available only since 1988 and thus we do not have complete prediagnosis information for all women. We do not have access to data on assisted reproduction as this was not a covered service in Ontario and thus we do not know if YAS required such services more frequently than controls. The study may be influenced by factors specific to a Canadian context and factors such as underlying fertility of the population  should be considered prior to generalizing to other jurisdictions. Finally, we do not have access to detailed information regarding stage or treatment which would further inform the analysis.
Female survivors of malignancy developing in young adulthood overall experience a small reduction in the likelihood of childbirth after diagnosis over a median of 12 years of follow up as compared to age matched controls, however the effect is not homogeneous. Parenthood prior to diagnosis modifies the effect of diagnosis – women who did not have children prior to diagnosis were more likely to experience childbirth after diagnosis indicating that non-biologic factors have an important influence in this group. Survivors of melanoma and thyroid cancer, particularly those with no history of childbirth, can be reassured by our findings that for long term survivors reproductive outcomes do not seem to be affected. However, for women surviving other forms of malignancies, in particular breast cancer and Hodgkin Disease there is a reduction in childbirth even in this comparatively contemporary cohort. These findings should be considered in pre-treatment counselling and discussions with patients with respect to options to preserve fertility in those desiring future pregnancies. However, given the association between prediagnosis childbirth and the likelihood of childbirth after diagnosis, non-biologic factors may have an important influence on the likelihood of having children after a malignant diagnosis in the YAS population.
This research was supported by the Canadian Institutes for Health Research and the Ontario Ministry of Research and Innovation. Dr Baxter holds the Cancer Care Ontario Health Services Research Chair and an Early Researchers Award from the Ontario Ministry of Research and Innovation. Dr. Paszat is supported by a clinician scientist salary from the Ministry of Health and Long-term Care of Ontario. The funding sources played no role in design, conduct, or reporting of this study. This study was supported by the Institute for Clinical Evaluative Sciences, which is funded by an annual grant from the Ontario Ministry of Health and Long-Term Care. The opinions, results and conclusions reported in this paper are those of the authors and are independent from the funding sources. No endorsement by the Institute for Clinical Evaluative Sciences or the Ontario Ministry of Health and Long-Term Care is intended or should be inferred.
- Births: Statistics Canada “the Daily”. 2011, Available at: http://www.statcan.gc.ca/daily-quotidien/110427/dq110427a-eng.htm; Accessed June 12 2011
- Lee SJ, Schover LR, Partridge AH, Patrizio P, Wallace WH, Hagerty K, Beck LN, Brennan LV, Oktay K: American society of clinical oncology recommendations on fertility preservation in cancer patients. J Clin Oncol. 2006, 24: 2917-2931. 10.1200/JCO.2006.06.5888.View ArticlePubMedGoogle Scholar
- Madanat LM, Malila N, Dyba T, Hakulinen T, Sankila R, Boice JD, Lahteenmaki PM: Probability of parenthood after early onset cancer: a population-based study. Int J Cancer. 2008, 123: 2891-2898. 10.1002/ijc.23842.View ArticlePubMedPubMed CentralGoogle Scholar
- Syse A, Kravdal O, Tretli S: Parenthood after cancer - a population-based study. Psychooncology. 2007, 16: 920-927. 10.1002/pon.1154.View ArticlePubMedGoogle Scholar
- Stensheim H, Cvancarova M, Moller B, Fossa SD: Pregnancy after adolescent and adult cancer: A population-based matched cohort study. Int J Cancer. 2011, 129 (5): 1225-1236. 10.1002/ijc.26045.View ArticlePubMedGoogle Scholar
- Green DM, Kawashima T, Stovall M, Leisenring W, Sklar CA, Mertens AC, Donaldson SS, Byrne J, Robison LL: Fertility of female survivors of childhood cancer: a report from the childhood cancer survivor study. J Clin Oncol. 2009, 27: 2677-2685. 10.1200/JCO.2008.20.1541.View ArticlePubMedPubMed CentralGoogle Scholar
- Fridrichova M, Dienstbier Z, Loucka M, Skala E, Blomannova E: Long-term survival of patients treated for Hodgkin’s disease in 1971–1996 depending on the clinical stage of the disease, patient’s fertility after therapy and cause of death analysis. Neoplasma. 2009, 56: 480-485. 10.4149/neo_2009_06_480.View ArticlePubMedGoogle Scholar
- Hodgson DC, Pintilie M, Gitterman L, Dewitt B, Buckley CA, Ahmed S, Smith K, Schwartz A, Tsang RW, Crump M, Wells W, Sun A, Gospodarowicz MK: Fertility among female hodgkin lymphoma survivors attempting pregnancy following ABVD chemotherapy. Hematol Oncol. 2007, 25: 11-15. 10.1002/hon.802.View ArticlePubMedGoogle Scholar
- Elis A, Tevet A, Yerushalmi R, Blickstein D, Bairy O, Dann EJ, Blumenfeld Z, Abraham A, Manor Y, Shpilberg O, Lishner M: Fertility status among women treated for aggressive non-Hodgkin’s lymphoma. Leuk Lymphoma. 2006, 47: 623-627. 10.1080/10428190500353877.View ArticlePubMedGoogle Scholar
- Franchi-Rezgui P, Rousselot P, Espie M, Briere J, Pierre Marolleau J, Gisselbrecht C, Brice P: Fertility in young women after chemotherapy with alkylating agents for Hodgkin and non-Hodgkin lymphomas. Hematol J. 2003, 4: 116-120. 10.1038/sj.thj.6200248.View ArticlePubMedGoogle Scholar
- Robles SC, Marrett LD, Clarke EA, Risch HA: An application of capture recapture methods to the estimation of completeness of cancer registration. J Clin Epidemiol. 1988, 41: 495-501. 10.1016/0895-4356(88)90052-2.View ArticlePubMedGoogle Scholar
- Canadian Institute for Health Information Data Quality Study of the 2009–2010 Discharge Abstract Database. 2012, Available at: https://secure.cihi.ca/free_products/Reabstraction_june19revised_09_10_en.pdf; Accessed December 26 2012
- Theis B, Nishri D, Bahl S, Ugnat A, Marrett L: Cancer in Young Adults in Canada Toronto, Canada. 2006, Cancer Care OntarioGoogle Scholar
- Lin DY, Wei LJ: The robust inference for the Cox proportional hazards model. J Am Stat Assoc. 1989, 84: 1074-1078. 10.1080/01621459.1989.10478874.View ArticleGoogle Scholar
- Cvancarova M, Samuelsen SO, Magelssen H, Fossa SD: Reproduction rates after cancer treatment: experience from the Norwegian radium hospital. J Clin Oncol. 2009, 27: 334-343.View ArticlePubMedGoogle Scholar
- Magelssen H, Melve KK, Skjaerven R, Fossa SD: Parenthood probability and pregnancy outcome in patients with a cancer diagnosis during adolescence and young adulthood. Hum Reprod. 2008, 23: 178-186.View ArticlePubMedGoogle Scholar
- Schover LR, Rybicki LA, Martin BA, Bringelsen KA: Having children after cancer. A pilot survey of survivors’ attitudes and experiences. Cancer. 1999, 86: 697-709. 10.1002/(SICI)1097-0142(19990815)86:4<697::AID-CNCR20>3.0.CO;2-J.View ArticlePubMedGoogle Scholar
- Peate M, Meiser B, Hickey M, Friedlander M: The fertility-related concerns, needs and preferences of younger women with breast cancer: a systematic review. Breast Cancer Res Treat. 2009, 116: 215-223. 10.1007/s10549-009-0401-6.View ArticlePubMedGoogle Scholar
- Partridge AH, Ruddy KJ: Fertility and adjuvant treatment in young women with breast cancer. Breast. 2007, 16 (Suppl 2): S175-S181.View ArticlePubMedGoogle Scholar
- Ives A, Saunders C, Bulsara M, Semmens J: Pregnancy after breast cancer: population based study. BMJ. 2007, 334: 194-10.1136/bmj.39035.667176.55.View ArticlePubMedGoogle Scholar
- Kroman N, Jensen MB, Wohlfahrt J, Ejlertsen B: Pregnancy after treatment of breast cancer–a population-based study on behalf of Danish breast cancer cooperative group. Acta Oncol. 2008, 47: 545-549. 10.1080/02841860801935491.View ArticlePubMedGoogle Scholar
- Knopman JM, Papadopoulos EB, Grifo JA, Fino ME, Noyes N: Surviving childhood and reproductive-age malignancy: effects on fertility and future parenthood. Lancet Oncol. 2010, 11: 490-498. 10.1016/S1470-2045(09)70317-1.View ArticlePubMedGoogle Scholar
- Statistics Canada: Crude Birth Rate, Age-Specific and Total Fertility Rates (live births), Canada, Provinces and Territories Annual (rate). 2012, Available at: http://www5.statcan.gc.ca/cansim/a05?lang=eng&id=1024505&paSer=&pattern=102-4505&stByVal=1&csid=; Accessed December 12 2012
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/13/30/prepub
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