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The article focuses on the socioeconomic and health system factors of the population on childhood cancer medical care and screening including enrollment in the Childhood Cancer Survivor Study (CCSS) and individual-level factors from U.S. Area Health Resource File was reported.

Background: We wanted to determine the type of outpatient medical care reported by young adult survivors of childhood cancer and to examine factors associated with limited medical care.Methods: We analyzed data from 9,434 adult childhood cancer survivors enrolled in a retrospective cohort study who completed a baseline questionnaire. They had a mean age of 26.8 years (range 18 to 48 years), 47% were female, 12% were minorities, and 16% were uninsured. Four self-reported outcome measures were used to determine outpatient medical care in a 2-year period: general contact with the health care system, general physical examination, cancer-related medical visit, and medical visit at a cancer center.Results: Eighty-seven percent reported general medical contact, 71.4% a general physical examination, 41.9% a cancer-related visit, and 19.2%, a visit at a cancer center. Factors associated with not reporting a general physical examination, a cancer-related visit, or a cancer center visit included no health insurance (odds ratio [OR] = 2.34; 95% confidence interval [CI], 1.97-2.77), male sex (OR = 1.65; 95% CI, 1.44-1.88), lack of concern for future health (OR = 1.57; 95% CI, 1.36-1.82), and age 30 years or older in comparison with those 18 to 29 years (OR = 1.56; 95% CI, 1.35-1.81). The likelihood of reporting a cancer-related visit or a general physical examination decreased significantly as the survivor aged or the time from cancer diagnosis increased. This trend was also significant for those treated with therapies associated with substantial risk for cardiovascular disease or breast cancer.Conclusions: Primary care physicians provide health care for most of this growing high-risk population. To optimize risk-based care, it is critical that cancer centers and primary care physicians develop methods to communicate effectively and longitudinally. [ABSTRACT FROM AUTHOR]

Background: Treatments for childhood cancer have evolved over the past 50 years, with the goal of maximising the proportion of patients who achieve long-term survival, while minimising the adverse effects of therapy. We aimed to assess incidence patterns of serious chronic health conditions in long-term survivors of childhood cancer across three decades of diagnosis and treatment.Methods: We used data from the Childhood Cancer Survivor Study, a retrospective cohort with longitudinal follow-up of 5-year survivors of common childhood cancers (leukaemia, tumours of the CNS, Hodgkin lymphoma, non-Hodgkin lymphoma, Wilms tumour, neuroblastoma, soft tissue sarcoma, or bone tumours) who were diagnosed before the age of 21 years and from 1970 to 1999 in North America. We examined the cumulative incidence of severe to fatal chronic health conditions occurring up to 20 years post-diagnosis among survivors, compared by diagnosis decade. We used multivariable regression models to estimate hazard ratios per diagnosis decade, and we added treatment variables to assess whether treatment changes attenuated associations between diagnosis decade and chronic disease risk.Findings: Among 23 601 survivors with a median follow-up of 21 years (IQR 15-25), the 20-year cumulative incidence of at least one grade 3-5 chronic condition decreased significantly from 33·2% (95% CI 32·0-34·3) in those diagnosed 1970-79 to 29·3% (28·4-30·2; p<0·0001) in 1980-89, and 27·5% (26·4-28·6; p=0·012 vs 1980-89) in 1990-99. By comparison, the 20-year cumulative incidence of at least one grade 3-5 condition in 5051 siblings was 4·6% (95% CI 3·9-5·2). The 15-year cumulative incidence of at least one grade 3-5 condition was lower for survivors diagnosed 1990-99 compared with those diagnosed 1970-79 for Hodgkin lymphoma (17·7% [95% CI 15·0-20·5] vs 26·4% [23·8-29·1]; p<0·0001), non-Hodgkin lymphoma (16·9% [14·0-19·7] vs 23·8% [19·9-27·7]; p=0.0053), astrocytoma (30·5% [27·8-33·2] vs 47·3% [42·9-51·7]; p<0·0001), Wilms tumour (11·9% [9·5-14·3] vs 17·6% [14·3-20·8]; p=0·034), soft tissue sarcoma (28·3% [23·5-33·1] vs 36·5% [31·5-41·4]; p=0·021), and osteosarcoma (65·6% [60·6-70·6] vs 87·5% [84·1-91·0]; p<0·0001). By contrast, the 15-year cumulative incidence of at least one grade 3-5 condition was higher (1990-99 vs 1970-79) for medulloblastoma or primitive neuroectodermal tumour (58·9% [54·4-63·3] vs 42·9% [34·9-50·9]; p=0·00060), and neuroblastoma (25·0% [21·8-28·2] vs 18·0% [14·5-21·6]; p=0·0045). Results were consistent with changes in treatment as a significant mediator of the association between diagnosis decade and risk of grade 3-5 chronic conditions for astrocytoma (HR per decade without treatment in the model = 0·77, 95% CI 0·64-0·92; HR with treatment in the model=0·89, 95% CI 0·72-1·11; pmediation=0·0085) and Hodgkin lymphoma (HR without treatment=0·75, 95% CI 0·65-0·85; HR with treatment=0·91, 95% CI 0·73-1·12; pmediation=0·024). Temporal decreases in 15-year cumulative incidence comparing survivors diagnosed 1970-79 to survivors diagnosed 1990-99 were noted for endocrinopathies (5·9% [5·3-6·4] vs 2·8% [2·5-3·2]; p<0·0001), subsequent malignant neoplasms (2·7% [2·3-3·1] vs 1·9% [1·6-2·2]; p=0·0033), musculoskeletal conditions (5·8% [5·2-6·4] vs 3·3% [2·9-3·6]; p<0·0001), and gastrointestinal conditions (2·3% [2·0-2·7] vs 1·5% [1·3-1·8]; p=0·00037), while hearing loss increased (3·0% [2·6-3·5] vs 5·7% [5·2-6·1]; p<0·0001).Interpretation: Our results suggest that more recently treated survivors of childhood cancer had improvements in health outcomes, consistent with efforts over the same time period to modify childhood cancer treatment regimens to maximise overall survival, while reducing risk of long-term adverse events. Continuing advances in cancer therapy offer promise of further reducing the risk of long-term adverse events in childhood cancer survivors. However, achieving long-term survival for childhood cancer continues to come at a cost for many survivors, emphasising the importance of long-term follow-up care for this population.Funding: National Cancer Institute and the American Lebanese-Syrian Associated Charities. [ABSTRACT FROM AUTHOR]

Background: Female survivors of childhood cancer are at risk for primary ovarian insufficiency (POI), defined as the cessation of gonadal function before the age of 40 years. We aimed to develop and validate models to predict age-specific POI risk among long-term survivors of childhood cancer., Methods: To develop models to predict age-specific POI risk for the ages of 21-40 years, we used data from the Childhood Cancer Survivor Study (CCSS). Female survivors aged 18 years or older at their latest follow-up, with self-reported menstrual history information and free of subsequent malignant neoplasms within 5 years of diagnosis, were included. We evaluated models that used algorithms based on statistical or machine learning to consider all predictors, including cancer treatments. Cross-validated prediction performance metrics (eg, area under the receiver operating characteristic curve [AUROC]) were compared to select the best-performing models. For external validation of the models, we used data from 5-year survivors in the St Jude Lifetime Cohort (SJLIFE) with ovarian status clinically ascertained using hormone measurements (menopause defined by follicle stimulating hormone >30 mIU/mL and oestradiol <17 pg/mL) and medical chart or questionnaire review. We also evaluated an SJLIFE-based polygenic risk score for POI among 1985 CCSS survivors with genotype data available., Findings: 7891 female CCSS survivors (922 with POI) were included in the development of the POI risk prediction model, and 1349 female SJLIFE survivors (101 with POI) were included in the validation study. Median follow-up from cancer diagnosis was 23·7 years (IQR 18·3-30·0) in CCSS and 15·1 years (10·4-22·9) in SJLIFE. Between the ages of 21 and 40 years, POI prevalence increased from 7·9% (95% CI 7·3-8·5) to 18·6% (17·3-20·0) in CCSS and 7·3% (5·8-8·9) to 14·9% (11·6-19·1) in SJLIFE. Age-specific logistic regression models considering ovarian radiation dosimetry or prescribed pelvic and abdominal radiation dose, along with individual chemotherapy predictors, performed well in CCSS. In the SJLIFE validation, the prescribed radiation dose model performed well (AUROC 0·88-0·95), as did a simpler model that considered any exposures to pelvic or abdominal radiotherapy or alkylators (0·82-0·90). Addition of the polygenic risk predictor significantly improved the average positive predictive value (from 0·76 [95% CI 0·63-0·89] to 0·87 [0·80-0·94]; p=0·029) among CCSS survivors treated with ovarian radiation and chemotherapy., Interpretation: POI risk prediction models using treatment information showed robust prediction performance in adult survivors of childhood cancer., Funding: Canadian Institutes of Health Research, US National Cancer Institute., Competing Interests: Declaration of interests We declare no competing interests., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Purpose: To determine the incidence of serious chronic health conditions among survivors of pediatric Hodgkin lymphoma (HL), compare by era of therapy and by selected cancer therapies, and provide estimates of risks associated with contemporary therapy., Methods: Assessing 2,996 5-year HL survivors in the Childhood Cancer Survivor Study diagnosed from 1970 to 1999, we examined the cumulative incidence of severe to fatal chronic conditions (grades 3-5) using self-report conditions, medically confirmed subsequent malignant neoplasms, and cause of death based on the National Death Index. We used multivariable regression models to estimate hazard ratios (HRs) per decade and by key treatment exposures., Results: HL survivors were of a mean age of 35.6 years (range, 12-58 years). The cumulative incidence of any grade 3-5 condition by 35 years of age was 31.4% (95% CI, 29.2 to 33.5). Females were twice as likely (HR, 2.1; 95% CI, 1.8 to 2.4) to have a grade 3-5 condition compared with males. From the 1970s to the 1990s, there was a 20% reduction (HR, 0.8; 95% CI, 0.7 to 0.9) in decade-specific risk of a grade 3-5 condition ( P trend = .002). In survivors who had a recurrence and/or hematopoietic cell transplant, the risk of a grade 3-5 condition was substantially elevated, similar to that of survivors treated with high-dose, extended-field radiotherapy (HR, 1.2; 95% CI, 0.9 to 1.5). Compared with survivors treated with chest radiotherapy ≥ 35 Gy in combination with an anthracycline or alkylator, a contemporary regimen for low-intermediate risk HL was estimated to lead to a 40% reduction in risk of a grade 3-5 condition (HR, 0.6; 95% CI, 0.4 to 0.8)., Conclusion: This study demonstrates that risk-adapted therapy for pediatric HL has resulted in a significant reduction in serious long-term outcomes.

Background: Cancer treatment can cause gonadal impairment. Acute ovarian failure is defined as the permanent loss of ovarian function within 5 years of cancer diagnosis. We aimed to develop and validate risk prediction tools to provide accurate clinical guidance for paediatric patients with cancer., Methods: In this cohort study, prediction models of acute ovarian failure risk were developed using eligible female US and Canadian participants in the Childhood Cancer Survivor Study (CCSS) cohort and validated in the St Jude Lifetime Cohort (SJLIFE) Study. 5-year survivors from the CCSS cohort were included if they were at least 18 years old at their most recent follow-up and had complete treatment exposure and adequate menstrual history (including age at menarche, current menstrual status, age at last menstruation, and menopausal aetiology) information available. Participants in the SJLIFE cohort were at least 10-year survivors. Participants were excluded from the prediction analysis if they had an ovarian hormone deficiency, had missing exposure information, or had indeterminate ovarian status. The outcome of acute ovarian failure was defined as permanent loss of ovarian function within 5 years of cancer diagnosis or no menarche after cancer treatment by the age of 18 years. Logistic regression, random forest, and support vector machines were used as candidate methods to develop the risk prediction models in the CCSS cohort. Prediction performance was evaluated internally (in the CCSS cohort) and externally (in the SJLIFE cohort) using the areas under the receiver operating characteristic curve (AUC) and the precision-recall curve (average precision [AP; average positive predictive value])., Findings: Data from the CCSS cohort were collected for participants followed up between Nov 3, 1992, and Nov 25, 2016, and from the SJLIFE cohort for participants followed up between Oct 17, 2007, and April 16, 2012. Of 11 336 female CCSS participants, 5886 (51·9%) met all inclusion criteria for analysis. 1644 participants were identified from the SJLIFE cohort, of whom 875 (53·2%) were eligible for analysis. 353 (6·0%) of analysed CCSS participants and 50 (5·7%) of analysed SJLIFE participants had acute ovarian failure. The overall median follow-up for the CCSS cohort was 23·9 years (IQR 20·4-27·9), and for SJLIFE it was 23·9 years (19·0-30·0). The three candidate methods (logistic regression, random forest, and support vector machines) yielded similar results, and a prescribed dose model with abdominal and pelvic radiation doses and an ovarian dose model with ovarian radiation dosimetry using logistic regression were selected. Common predictors in both models were history of haematopoietic stem-cell transplantation, cumulative alkylating drug dose, and an interaction between age at cancer diagnosis and haematopoietic stem-cell transplant. External validation of the model in the SJLIFE cohort produced an estimated AUC of 0·94 (95% CI 0·90-0·98) and AP of 0·68 (95% CI 0·53-0·81) for the ovarian dose model, and AUC of 0·96 (0·94-0·97) and AP of 0·46 (0·34-0·61) for the prescribed dose model. Based on these models, an online risk calculator has been developed for clinical use., Interpretation: Both acute ovarian failure risk prediction models performed well. The ovarian dose model is preferred if ovarian radiation dosimetry is available. The models, along with the online risk calculator, could help clinical discussions regarding the need for fertility preservation interventions in girls and young women newly diagnosed with cancer., Funding: Canadian Institutes of Health Research, Women and Children's Health Research Institute, National Cancer Institute, and American Lebanese Syrian Associated Charities., (Copyright © 2020 Elsevier Ltd. All rights reserved.)