Cancer Registry Dataset Research Articles

Insurance Disparities in Quality of Care Among Patients With Head and Neck Cancer

Significant insurance status disparities have been demonstrated in head and neck cancer (HNC) outcomes. The effects of insurance status on HNC outcomes may be explained by differential access to high-quality care. To evaluate the association of insurance status with the quality of the treating hospital and receipt of guideline-compliant care among patients with HNC. This retrospective cohort study of data from the California Cancer Registry dataset linked with discharge records and hospital characteristics from the California Department of Health Care Access and Information included adult patients with HNC diagnosed between January 1, 2010, and December 31, 2019. Data were analyzed from May 10, 2023, to March 25, 2024. Insurance status: commercial, Medicare, Medicaid, uninsured, other, or unknown. Quality of the treating hospital (tertiles), receipt of National Comprehensive Cancer Network guideline-compliant care, and overall survival. A total of 23 933 patients (mean [SD] age, 64.8 [12.3] years; 75.3% male) met the inclusion criteria. Treatment in top-tertile hospitals (hazard ratio, 0.87; 95% CI, 0.79-0.95) was associated with improved overall survival compared with treatment in bottom-tertile hospitals. Medicare (odds ratio [OR], 0.78; 95% CI, 0.73-0.84), Medicaid (OR, 0.60; 95% CI, 0.54-0.66), and uninsured (OR, 0.38; 95% CI, 0.29-0.49) status were associated with lower likelihood of treatment in high-quality hospitals compared with commercial insurance. Among patients with advanced disease, Medicaid (OR, 0.72; 95% CI, 0.62-0.83) and uninsured (OR, 0.64; 95% CI, 0.44-0.93) patients were less likely to receive dual-modality therapy. Among patients with surgically resected advanced disease, Medicaid coverage (OR, 0.73; 95% CI, 0.58-0.93) was associated with lower likelihood of receiving adjuvant radiotherapy. This study found significant insurance disparities in quality of care among patients with HNC. These findings highlight the need for continued health insurance reform in the US to improve the quality of insurance coverage, in addition to expanding access to health insurance.

Temporal trends of cancer incidence rates for the most frequent cancer sites in Cyprus (2004-2017).

Cancer is one of the leading causes of morbidity and mortality, worldwide. Little information is available for the temporal trends of cancer in the Mediterranean region, including Cyprus. We aimed to analyze cancer incidence trends overall and by sex for the period 2004-2017 regarding the five most common cancer sites for the population of Cyprus. Data were obtained from the nationwide cancer registry dataset that included 27 017 total cancer cases in Cyprus (2004-2017). We estimated the crude, sex-, and age-specific, as well as age-standardized (ASR) cancer incidence rates and we analyzed the time trends of ASR using the joinpoint regression program. For the general population (0-85+ years of age), the most common cancer sites in descending order, were breast, prostate, lung, colorectal, and thyroid cancer. During the study period, breast and thyroid cancer ASR presented a significant (p < .05) increasing temporal trend. Lung cancer ASRs seemed to stabilize (no increase or decrease) during the more recent years (2009 onwards) for both sexes; a similar pattern was observed for colorectal cancer in males. The ASRs of prostate cancer in men were in steady decline from 2012 onwards and the same was observed for the female ASRs of colorectal cancer from 2007 onwards. The colorectal cancer ASR temporal patterns overall, during the whole study period appeared unchanged. This temporal analysis would feed into cancer surveillance and control programs that focus on prevention, early detection, and treatment, particularly for cancer sites of higher mortality rates or those with temporally increasing trends.

Preexisting Diabetes and Breast Cancer Treatment Among Low-Income Women

Diabetes is associated with poorer prognosis of patients with breast cancer. The association between diabetes and adjuvant therapies for breast cancer remains uncertain. To comprehensively examine the associations of preexisting diabetes with radiotherapy, chemotherapy, and endocrine therapy in low-income women with breast cancer. This population-based cohort study included women younger than 65 years diagnosed with nonmetastatic breast cancer from 2007 through 2015, followed up through 2016, continuously enrolled in Medicaid, and identified from the linked Missouri Cancer Registry and Medicaid claims data set. Data were analyzed from January 2022 to October 2023. Preexisting diabetes. Logistic regression was used to estimate odds ratios (ORs) of utilization (yes/no), timely initiation (≤90 days postsurgery), and completion of radiotherapy and chemotherapy, as well as adherence (medication possession ratio ≥80%) and persistence (<90-consecutive day gap) of endocrine therapy in the first year of treatment for women with diabetes compared with women without diabetes. Analyses were adjusted for sociodemographic and tumor factors. Among 3704 women undergoing definitive surgery, the mean (SD) age was 51.4 (8.6) years, 1038 (28.1%) were non-Hispanic Black, 2598 (70.1%) were non-Hispanic White, 765 (20.7%) had a diabetes history, 2369 (64.0%) received radiotherapy, 2237 (60.4%) had chemotherapy, and 2505 (67.6%) took endocrine therapy. Compared with women without diabetes, women with diabetes were less likely to utilize radiotherapy (OR, 0.67; 95% CI, 0.53-0.86), receive chemotherapy (OR, 0.67; 95% CI, 0.48-0.93), complete chemotherapy (OR, 0.71; 95% CI, 0.50-0.99), and be adherent to endocrine therapy (OR, 0.71; 95% CI, 0.56-0.91). There were no significant associations of diabetes with utilization (OR, 0.95; 95% CI, 0.71-1.28) and persistence (OR, 1.09; 95% CI, 0.88-1.36) of endocrine therapy, timely initiation of radiotherapy (OR, 1.09; 95% CI, 0.86-1.38) and chemotherapy (OR, 1.09; 95% CI, 0.77-1.55), or completion of radiotherapy (OR, 1.25; 95% CI, 0.91-1.71). In this cohort study, preexisting diabetes was associated with subpar adjuvant therapies for breast cancer among low-income women. Improving diabetes management during cancer treatment is particularly important for low-income women with breast cancer who may have been disproportionately affected by diabetes and are likely to experience disparities in cancer treatment and outcomes.

Disparities in incidence and survival for patients with Ewing sarcoma in Florida.

Ewing sarcoma (ES) is a malignant bone tumor most commonly affecting non-Hispanic White (NHW) adolescent males, though recognition among Hispanic individuals is rising. Prior population-based studies in the United States (US), utilizing Surveillance, Epidemiology, and End Results (SEER) have shown higher all-cause mortality among White Hispanics, Blacks, and those of low socioeconomic status (SES). Florida is not part of SEER but is home to unique Hispanic populations including Cubans, Puerto Ricans, South Americans that contrasts with the Mexican Hispanic majority in other US states. This study aimed to assess racial/ethnic disparities on incidence and survival outcomes among this diverse Florida patient population. Our study examined all patients diagnosed with osseous ES (2005-2018) in Florida (n = 411) based on the state's population-based cancer registry dataset. Florida Age-adjusted Incidence Rates (AAIRs) were computed by sex and race-ethnicity and compared to the equivalent populations in SEER. Cause-specific survival disparities among Florida patients were examined using Kaplan-Meier analysis. Univariable and multivariable analyses using Cox regression were performed for race/ethnicity, with adjustment for age, sex, year of diagnosis, site of disease, staging, SES, and insurance type. There was a significantly higher incidence of osseous ES in Florida Hispanic males (AAIR 2.6/1,000,000); (95% CI: 2.0-3.2 per 1,000,000; n = 84) compared to the SEER Hispanic males (AAIR 1.2/1,000,000;1.1-1.4 per 1,000,000; n = 382). Older age, distant metastasis, lack of chemotherapy or surgical resection were statistically significant determinants of poor survival while SES, insurance status and race-ethnicity were not. However, among nonmetastatic ES, Florida Hispanics had an increased risk of death compared to Florida NHW (adjusted Hazard Ratio 2.32; 95%CI: 1.20-4.46; p = 0.012). Florida Hispanic males have a higher-than-expected incidence of osseous ES compared to the US. Hispanics of both sexes show remarkably worse survival for nonmetastatic disease compared to NHW. This disparity is likely multifactorial and requires further in-depth studies.

Survey of community and hospital pharmacist involvement in outpatient chemotherapy using Japanese health information data.

In this study, information on injectable anticancer drug use and additional fee for enhanced collaboration (AEC) and additional fee for specific drug management guidance 2 (ASD2) claims from the NDB Open Data Japan (NODJ) dataset and the number of patients with cancer according to sex and age from the National Cancer Registry (NCR) dataset were integrated and evaluated to determine the current status and challenges in pharmacist interventions for patients receiving cancer treatment. The NODJ data, including receipt data billed from 2020 to 2021, were obtained from the Ministry of Health, Labour and Welfare website. The use of injectable anticancer drugs decreased relative to the number of cancer patients aged ≥ 75 years compared to those aged < 75 years. Regarding injectable anticancer drug use, the number of AEC claims was similar between men and women, but the number of ASD2 claims was lower in men than in women. The number of times community pharmacists claimed their ASD2 was approximately 5% of the number of times hospital pharmacists claimed their AEC. This study revealed that several patients did not receive sufficient guidance from community pharmacists compared to hospital pharmacists, suggesting a potential insufficiency in the collaboration between the two groups.

Breast cancer recurrence prediction with deep neural network and feature optimization

Breast cancer remains a pervasive global health concern, necessitating continuous efforts to attain effectiveness of recurrence prediction schemes. This work focuses on breast cancer recurrence prediction using two advanced architectures such as Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), integrated with feature selection techniques utilizing Logistic Regression (LR) and Analysis of Variance (ANOVA). The well-known Wisconsin cancer registry dataset, which contains vital diagnostic data from breast mass fine-needle aspiration biopsies, was employed in this study. The mean values of accuracy, precision, recall and F1-score for the proposed LR-CNN-LSTM model were calculated as 98.24%, 99.14%, 98.30% and 98.14% respectively. The mean values of accuracy, precision, recall and F1-score for the proposed ANOVA-GRU model were calculated as 96.49%, 97.04%, 96.67% and 96.67% respectively. The comparison with traditional methods showcases the superiority of our proposed approach. Moreover, the insights gained from feature selection contribute to a deeper understanding of the critical factors influencing breast cancer recurrence. The combination of LSTM and GRU models with feature selection methods not only enhances prediction accuracy but also provides valuable insights for medical practitioners. This research holds the potential to aid in early diagnosis and personalized treatment strategies.

Liver-Directed Therapy in Neuroendocrine Neoplasms Metastatic to Both Liver and Bone.

Bone metastases from gastroenteropancreatic neuroendocrine neoplasms (GEPNENs) have been associated with poor prognosis, but it is unclear whether patients with concurrent bone metastases who receive liver-directed therapy (LDT) would derive survival benefit. The California Cancer Registry dataset, merged with data from the California Office of Statewide Health Planning and Development, was used to perform a retrospective study of GEPNENs metastatic to both liver and bone between 2000 and 2012. A total of 203 patients were identified. Of these, 14.8% underwent LDT after bone metastasis diagnosis, 22.1% received LDT prior to that diagnosis, and 63.1% never received LDT. The median overall survival from the time of bone metastasis diagnosis was significantly longer in those that received LDT after diagnosis when compared with those that never received LDT (p = 0.005) and was not significantly different from the median overall survival of those that had received LDT prior to diagnosis (p = 0.256). LDT may still be associated with improved survival even after a diagnosis of bone metastasis.

Ontology-Based AI Design Patterns and Constraints in Cancer Registry Data Validation.

Data validation in cancer registration is a critical operation but is resource-intensive and has traditionally depended on proprietary software. Ontology-based AI is a novel approach utilising machine reasoning based on axioms formally described in description logic. This is a different approach from deep learning AI techniques but not exclusive of them. The advantage of the ontology approach lies in its ability to address a number of challenges concurrently. The disadvantages relate to computational costs, which increase with language expressivity and the size of data sets, and class containment restrictions imposed by description logics. Both these aspects would benefit from the availability of design patterns, which is the motivation behind this study. We modelled the European cancer registry data validation rules in description logic using a number of design patterns and showed the viability of the approach. Reasoning speeds are a limiting factor for large cancer registry data sets comprising many hundreds of thousands of records, but these can be offset to a certain extent by developing the ontology in a modular way. Data validation is also a highly parallelisable process. Important potential future work in this domain would be to identify and optimise reusable design patterns, paying particular attention to avoiding any unintended reasoning efficiency hotspots.

Age and cancer type: associations with increased odds of receiving a late diagnosis in people with advanced cancer

PurposeIn order to deliver appropriate and timely care planning and minimise avoidable late diagnoses, clinicians need to be aware of which patients are at higher risk of receiving a late cancer diagnosis. We aimed to determine which demographic and clinical factors are associated with receiving a ‘late’ cancer diagnosis (within the last 12 weeks of life).MethodRetrospective cohort study of 2,443 people who died from cancer (‘cancer decedents’) in 2013–2015. Demographic and cancer registry datasets linked using patient-identifying Community Health Index numbers. Analysis used binary logistic regression, with univariate and adjusted odds ratios (SPSS v25).ResultsOne third (n = 831,34.0%) received a late diagnosis. Age and cancer type were significantly associated with late cancer diagnosis (p < 0.001). Other demographic factors were not associated with receiving a late diagnosis. Cancer decedents with lung cancer (Odds Ratios presented in abstract are the inverse of those presented in the main text, where lung cancer is the reference category. Presented as 1/(OR multivariate)) were more likely to have late diagnosis than those with bowel (95% Confidence Interval [95%CI] Odds Ratio (OR)1.52 (OR1.12 to 2.04)), breast or ovarian (95%CI OR3.33 (OR2.27 to 5.0) or prostate (95%CI OR9.09 (OR4.0 to 20.0)) cancers. Cancer decedents aged > 85 years had higher odds of late diagnosis (95%CI OR3.45 (OR2.63 to 4.55)), compared to those aged < 65 years.ConclusionsCancer decedents who were older and those with lung cancer were significantly more likely to receive late cancer diagnoses than those who were younger or who had other cancer types.

From Infection to Malignancy: Tracing the Impact of Human Papillomavirus on Uterine Endometrial Cancer in a Nationwide Population-Based Cohort Study.

Uterine endometrial cancer (EC) is the most common gynecological malignancy in Taiwan. This study aimed to investigate the association between human papillomavirus (HPV) infection and the development of uterine EC among Taiwanese women. A nationwide population cohort research approach was employed, leveraging longitudinal health insurance databases (LHID 2007 and 2015) from the National Health Insurance Research Database alongside data from the Taiwan Cancer Registry datasets. A comparative analysis examined 472,420 female patients with HPV infection and 944,840 without HPV infection. The results demonstrated that the HPV cohort exhibited a significantly elevated risk of uterine EC, as evidenced by an adjusted hazard ratio (aHR) of 1.588 (95% CI: 1.335-1.888). Furthermore, this elevated risk extended to type 1 EC with an aHR of 1.671 (95% CI: 1.376-2.029), specifically the endometrioid adenocarcinoma subtype with an aHR 1.686 (95% CI: 1.377-2.065). Importantly, these findings were statistically significant (p < 0.001). In conclusion, this research unveils a potential association between HPV infection and an increased risk of uterine EC, particularly the type 1 endometrial cancer subtype, within the Taiwanese female population. These findings have implications for preventive measures and screening programs targeting HPV infection to reduce the risk of this prevalent gynecological malignancy in Taiwan.

The Joint Research Centre-European Network of Cancer Registries Quality Check Software (JRC-ENCR QCS).

The core activity of population-based cancer registries (PBCRs) is to gather information from all new cancer cases in a defined geographic area, in order to measure the magnitude of cancer burden and to provide a basis for cancer research. The Joint Research Centre-European Network of Cancer Registries Quality Check Software (JRC-ENCR QCS) is a Java standalone desktop application, under development since 2015, created to support PBCRs in the validation of the collected data. The JRC-ENCR QCS performs internal consistency checks on the cancer registry dataset, to detect impossible or unlikely codes or combination of codes, and is thereby an important tool to support the validation efforts by registries and improve data quality and European-wide harmonisation. The software package also includes the JRC CSV Data layout converter, a complementary tool for transforming PBCR incidence files into a format compatible with the JRC-ENCR QCS. This paper gives an overview of the JRC-ENCR QCS, describing the role of the software in processing data files submitted by PBCRs contributing to the European Cancer Information System (ECIS) as well as its functionalities. The development of the JRC-ENCR QCS is an evolving process, with regular updates implementing new and revised European and International recommendations and classifications.

Characterizing Lung Cancer Burden Among Asian-American Communities in Philadelphia.

Lung cancer (LC) is the leading cause of cancer death among Asian-Americans. However, there are differences in LC incidence and mortality among Asian racial subgroups. The objective of this study was to describe LC burden and disparities among race/ethnic groups (White, Black, Asian, and Hispanic) across US census tracts (CT) in Philadelphia using the Pennsylvania Cancer Registry dataset (N=11,865). ArcGIS Pro was used to geocode patient addresses to the CT level for linkage to US Census data. Despite being diagnosed more frequently with advanced-stage lung cancer compared with other race and ethnic groups in Philadelphia, Asian patients were most likely to be alive at the time of data receipt. Among Asian subgroups, Korean patients were the oldest (median age 75, p=0.024). Although not statistically different, distant stage disease was the most prevalent among Asian Indian (77.8%) and Korean (73.7%) and the least prevalent among Chinese patients (49.5%). LC was the cause of death for 77.8% of Asian Indian, 63.2% of Korean, 52.9% of other Asian, 48.5% of Chinese, and 47.5% of Vietnamese patients. CTs where Asian individuals were concentrated had lower socioeconomic status and greater tobacco retailer density compared to the entire city. Compared to all of Philadelphia, heavily Asian CTs experienced a greater age-standardized LC incidence (1.48 vs. 1.42) but lower age-standardized LC mortality (1.13 vs. 1.22). Our study suggests that LC disparities exist among Asian subgroups, with Asian Indian and Korean Philadelphians most likely to present with advanced disease. Additional studies are needed to investigate LC among high-risk racial and ethnic groups, including Asian subgroups.

Comprehensive Cost Implications of Commercially Available Noninvasive Colorectal Cancer Screening Modalities.

There is an increasing usage of noninvasive screening modalities for colorectal cancer (CRC), primarily the fecal immunochemical test (FIT) and multi-target stool DNA test (Cologuard [CG]). The aim of this study was to determine the comprehensive, long-term cost implications of these noninvasive screening modalities. Using a national insurer-based administrative dataset, patients screened for CRC from January 1, 2019 to December 31, 2019 were analyzed. A hierarchical logic system was used to determine the primary screening modality for each patient. The total annual costs in US dollars ($) were extrapolated using number of patients screened, costs per test, screening intervals, and costs incurred from false results. Patients within our tumor registry diagnosed with CRC were matched to their claims data, and cancer stage distribution was compared. Of 119,334 members who underwent noninvasive screening, 38.1% underwent screening with FIT and 40.0% with CG. The combined annual cost for these 2 screening modalities was $13.7 million. By transitioning to FIT alone for all noninvasive screening, the total annual cost would decrease to $7.9 million, resulting in a savings of approximately $5.8 million per year. Additionally, by combining data from the network cancer registry and insurer-based claims dataset, we were able to match 533 individuals who underwent screening and were later diagnosed with CRC. The rate of early-stage (stage 0 to II) disease was found to be similar between those screened with FIT and CG (59.5% FIT vs 63.2% CG; p = 0.77). The adoption of FIT as the primary noninvasive CRC screening method has the potential to generate significant cost savings, and therefore, carries significant value implications for a large population health system.

Latency period of aristolochic acid-induced upper urinary tract urothelial carcinoma.

Aristolochic acid (AA) is a carcinogen in upper urinary tract urothelial carcinoma (UTUC). This study investigated the latency period between AA exposure and UTUC development. This population-based cohort study was designed using record linkage of the National Health Insurance Research Database (NHIRD), Taiwan Cancer Registry Dataset, and cause-of-death data in Taiwan. Those aged 40-79 years were enrolled in this study. Patients who died or had renal insufficiency or UTUC before 2005 were excluded. The doses of AA exposure and rates of comorbidities between 2000 and 2005 were obtained. The Cox proportion hazard model was used to estimate the risk of UTUC between 2005 and 2016. In addition, the Cox model with time-varying coefficient of AA was used to measure the latency period of UTUC. Of the 752,232 participants enrolled from the NHIRD, 520,871 (68.29%), 210,447 (27.59%), and 31,415 (4.12%) were exposed to cumulative AA doses of 0-1 mg, 1-150 mg, and >150 mg, respectively. A total of 1,147 (0.15%) patients were diagnosed with UTUC between 2005 and 2016. The latency periods of UTUC in middle-aged (40-59 years old) men with cumulative AA doses of 1-150 mg and middle-aged women with cumulative AA doses of 1-150 mg and >150 mg were 8, 9, and 7 years, respectively. Among the aged (60-79 years) individuals, no time-varying effect was observed, and the latency period could not be measured. A decreased risk of UTUC was observed after the ban on AA in Taiwan, especially in middle-aged women with moderate to high doses of AA exposure and men with moderate doses of AA exposure. The latency period of UTUC varies with age, the dose of AA exposure, and sex.

Incidence of second primary malignancies in women with different stages of breast cancer.

Breast cancer (BC) is the most common cancer in women worldwide. Because of the extended survival of patients with BC, the occurrence of second primary malignancies (SPMs) after BC is an important issue. We identified female patients with BC in the Breast Cancer Health Database of Taiwan, which includes four cancer registry datasets between 2002 and 2014 from Taiwan Cancer Registry. We compared the incidence of SPM between patients who received chemotherapy and/or radiotherapy with those who did not. Stratified analyses were performed according to the American Joint Committee on Cancer (AJCC) stage. The Cox regression model was used to identify the risk factors for SPM and evaluate their effects. We enrolled 85,947 eligible patients with BC, and 2,656 (3.09%) patients developed SPM. The median duration of SPM was 2.70 (1.14-5.14) years. Radiotherapy was administered in 40,946 (47.64%) patients, and chemotherapy was administered in 52,120 (60.64%). The most common SPMs were digestive tract cancers (876, 31.89%). The risk factors for SPM included the AJCC stage, chemotherapy, radiotherapy, age, and underlying comorbidities. Neither chemotherapy nor radiotherapy was associated with an increased risk of SPM in any stage. In contrast, after adjusting for other risk factors, patients at stage III/IV who received both therapies had lower risks of SPM compared with those who did not (p = 0.047). The risk of SPM was different across BC stages. Neither chemotherapy nor radiotherapy was associated with an increased risk of SPM in women with BC.

Investigating the Impact of Ultra-Radical Surgery on Survival in Advanced Ovarian Cancer Using Population-Based Data in a Multicentre UK Study.

Simple SummaryOvarian cancer is treated by surgery to remove all visible cancer and chemotherapy. Cancer survival is highest when no cancer is left behind after surgery. Ultra-radical (URS) surgery or maximal effort cytoreduction surgery uses additional surgical procedures, e.g., splenectomy, diaphragm stripping, etc. to remove all visible cancer. The use of URS varies internationally with some cancer centres performing this routinely and others not. We conducted a multi-centre study investigating 1471 patients with advanced ovarian cancer (AOC) across three types of gynaecological cancer centres in the UK—those offering mainly low, intermediate or high complexity surgery and investigated survival from cancer in an operated and non-operated whole cohort of women with advanced ovarian cancer. We found that cancer survival was highest in the centres practicing more radical surgery, even after age and deprivation of patients was taken into consideration. Centres practicing mainly low complexity surgery should change practice. We investigated URS and impact on survival in whole patient cohorts with AOC treated within gynaecological cancer centres that participated in the previously presented SOCQER 2 study. National cancer registry datasets were used to identify FIGO Stage 3,4 and unknown stage patients from 11 cancer centres that had previously participated in the SOCQER2 study. Patient outcomes’ association with surgical ethos were evaluated using logistic regression and Cox proportional hazards. Centres were classified into three groups based on their surgical complexity scores (SCS); those practicing mainly low complexity, (5/11 centres with >70% low SCS procedures, 759 patients), mainly intermediate (3/11, 35–50% low SCS, 356 patients), or mainly high complexity surgery (3/11, >35% high SCS, 356 patients). Surgery rates were 43.2% vs. 58.4% vs. 60.9%. across mainly low, intermediate and high SCS centres, respectively, p < 0.001. Combined surgery and chemotherapy rates were 39.2% vs. 51.8% vs. 38.3% p < 0.000 across mainly low, intermediate and high complexity groups, respectively. Median survival was 23.1 (95% CI 19.0 to 27.2) vs. 22.0 (95% CI 17.6 to 26.3) vs. 17.9 months (95% CI 15.7 to 20.1), p = 0.043 in mainly high SCS, intermediate, and low SCS centres, respectively. In an age and deprivation adjusted model, compared to patients in the high SCS centres, patients in the low SCS group had an HR of 1.21 (95% CI 1.03 to 1.40) for death. Mainly high/intermediate SCS centres have significantly higher surgery rates and better survival at a population level. Centres that practice mainly low complexity surgery should change practice. This study provides support for the utilization of URS for patients with advanced OC.

Community prescribing trends and prevalence in the last year of life, for people who die from cancer

BackgroundPeople who die from cancer (‘cancer decedents’) may latterly experience unpleasant and distressing symptoms. Prescribing medication for pain and symptom control is essential for good-quality palliative care; however, such provision is variable, difficult to quantify and poorly characterised in current literature. This study aims to characterise trends in prescribing analgesia, non-analgesic palliative care medication and non-palliative medications, to cancer decedents, in their last year of life, and to assess any associations with demographic or clinical factors.MethodsThis descriptive study, analysed all 181,247 prescriptions issued to a study population of 2443 cancer decedents in Tayside, Scotland (2013–2015), in the last year of life, linking prescribing data to demographic, and cancer registry datasets using the unique patient-identifying Community Health Index (CHI) number. Anonymised linked data were analysed in Safe Haven using chi-squared test for trend, binary logistic regression and Poisson regression in SPSSv25.ResultsIn their last year of life, three in four cancer decedents were prescribed strong opioids. Two-thirds of those prescribed opioids were also prescribed laxatives and/or anti-emetics. Only four in ten cancer decedents were prescribed all medications in the ‘Just in Case’ medication categories and only one in ten was prescribed breakthrough analgesia in the last year of life. The number of prescriptions for analgesia and palliative care drugs increased in the last 12 weeks of life. The number of prescriptions for non-palliative care medications, including anti-hypertensives, statins and bone protection, decreased over the last year, but was still substantial. Cancer decedents who were female, younger, or had lung cancer were more likely to be prescribed strong opioids; however, male cancer decedents had higher odds of being prescribed breakthrough analgesia. Cancer decedents who had late diagnoses had lower odds of being prescribed strong opioids.ConclusionsA substantial proportion of cancer decedents were not prescribed strong opioids, breakthrough medication, or medication to alleviate common palliative care symptoms (including ‘Just in Case’ medication). Many patients continued to be prescribed non-palliative care medications in their last days and weeks of life. Age, gender, cancer type and timing of diagnosis affected patients’ odds of being prescribed analgesic and non-analgesic palliative care medication.

Opportunities for personalizing colorectal cancer care: an analysis of SEER-medicare data.

United States clinical practice guidelines for metastatic colorectal cancer recommend use of medications impacted by genetic variants but do not recommend testing. We analyzed real-world treatment using a cancer registry and claims dataset to explore pharmacogenomic (PGx) medication treatment patterns and characterize exposure. In a cohort of 6 957 patients, most (86.9%) were exposed to at least one chemotherapy medication with PGx guidelines. In a cohort of 2 223 patients with retail pharmacy claims available, most (79.2%) were treated with at least one non-chemotherapy (79.2%) medication with PGx guidelines. PGx-associated chemotherapy exposure was associated with age, race/ethnicity, educational attainment, and rurality. PGx-associated non-chemotherapy exposure was associated with medication use and comorbidities. The potential impact of PGx testing is large and policies aimed at increasing PGx testing at diagnosis may impact treatment decisions for patients with metastatic colorectal cancer as most patients are exposed to medications with pharmacogenomics implications during treatment.

Disparities in radiation therapy utilization for cancer patients in Victoria.

IntroductionTo evaluate the proportion of cancer patients who received radiation therapy (RT) within 12 months of cancer diagnosis (RTU12) and identify factors associated with RTU12.MethodsThis is a population‐based cohort of individuals with incident cancer, diagnosed between 2013 and 2017 in Victoria. Data linkages were performed between the Victorian Cancer Registry and Victorian Radiotherapy Minimum Dataset. The primary outcome was the proportion of patients who had RTU12. For the three most common cancers (i.e., prostate, breast and lung cancer), the time trend in RTU12 and factors associated with RTU12 were evaluated.ResultsThe overall RTU12 in our study cohort was 26–20% radical RT and 6% palliative RT. Of the 21,735 men with prostate cancer, RTU12 was 17%, with no significant change over time (P‐trend = 0.53). In multivariate analyses, increasing age and lower socioeconomic status were independently associated with higher RTU12 for prostate cancer. Of the 20,883 women with breast cancer, RTU12 was 64%, which increased from 62% in 2013 to 65% in 2017 (P‐trend < 0.05). In multivariate analyses, age, socioeconomic status and area of residency were independently associated with RTU12 for breast cancer. Of the 13,093 patients with lung cancer, RTU12 was 42%, with no significant change over time (P‐trend = 0.16). In multivariate analyses, younger age, male and lower socioeconomic status were independently associated with higher RTU12.ConclusionIn this large population‐based state‐wide cohort of cancer patients, only 1 in 4 had RT within 12 months of diagnosis. There were marked sociodemographic disparities in RTU12 for prostate, breast and lung cancer patients.

Factors Influencing Total Delay of Breast Cancer in Northeast of China.

ObjectivesDelay in diagnosis and treatment, called total delay, could probably result in lower survival rates in breast cancer patients. This study aimed to investigate the factors associated with the comprehensive delay behaviors and to evaluate its effect on outcomes in patients with breast cancer in Dalian, a northeast city of China.MethodsA retrospective chart review was conducted using a cancer registry dataset including 298 patients. The Kaplan–Meier survival analysis was used to identify the threshold of total delay, dividing the patients into a group with significant uncertainty and a group without substantial delay. The factors associated with the significant total delay were investigated from the potential candidates, like income level and marital status, by using the chi-squared test. The difference of the clinicopathologic characteristics between the patients grouped by the significant total delay, like tumor size and lymph node metastasis, was also investigated to find out the effect of the total delay.ResultsA total of 238 charts were used for analysis. The mean age was 57.3. The median of total delays was 3.75 months. Thirty days was identified as a threshold, more than which the total delay can lead to worse survival. Patients’ marital status (p = 0.010), income levels (p = 0.003), smoking status (p = 0.031), initial visiting hospital level (p = 0.005), self-health care (p = 0.001), and self-concern about initial symptom (p ≈ 0.000) were identified as the independent predictors of the total delay. Metastasis (p ≈ 0.000) was identified as the significant result relating to the significant total delay.ConclusionsA total delay of more than 30 days predicts worse survival in breast cancer patients in Dalian. Several factors, like patients’ marital status and income levels, can be considered to be relevant to the significant total delay. We recommend that these factors be used to predict the potential patients with the significant total delay in the clinical practice.