scholarly journals Conditional survival after a diagnosis of malignant brain tumour in Canada: 2000–2008

2017 ◽  
Vol 24 (5) ◽  
pp. 341 ◽  
Author(s):  
Y. Yuan ◽  
J. Ross ◽  
Q. Shi ◽  
F.G. Davis

Background “Conditional survival probability” is defined as the probability that a patient will survive an additional time, given that the patient has already survived a defined period of time after diagnosis. Such estimates might be more relevant for clinicians and patients during post-diagnosis care, because survival probability projections are based on the patient’s survival to date. Here, we provides the first population-based estimates of conditional survival probabilities by histology for brain cancer in Canada.Methods Canadian Cancer Registry data were accessed for patients diagnosed with primary brain cancers during 2000–2008. Kaplan–Meier survival probabilities were estimated by histology. Conditional survival probabilities at 6 months (short-term, denoted scs) and 2 years (long-term, denoted lcs) were derived from the Kaplan–Meier survival estimates for a range of time periods.Results Among the 20,875 patients who met the study criteria, scs increased by a margin of 16–18 percentage points from 6-month survivors to 2-year survivors for the three most aggressive brain cancers. The lcs for 2-year survivors was 66% or greater for all tumour groups except glioblastoma. The lcs for 4-year survivors was 62% or greater for all histologies. For glioblastoma and diffuse astrocytoma, the lcs increased each year after diagnosis. For all other histologies, the lcs first increased and then plateaued from 2 years after diagnosis. The lcs and scs both worsened with increasing older age at diagnosis.Summary We report histologically specific conditional survival probabilities that can have value for clinicians practicing in Canada as they plan the course of follow-up for individual patients with brain cancer.

Author(s):  
F. G. Davis ◽  
Y. Yuan ◽  
Q. Shi ◽  
C. Nagamuthu ◽  
E. Andres ◽  
...  

To investigate patterns of survival and estimate conditional survival rates among brain cancer patients in Canada. METHODS: Canadian Cancer Registry data were obtained for all patients with primary brain cancer diagnosed between 1992 and 2008 (n=38,095). Follow-up ended with patient death or December 31, 2008, whichever occurred first. Crude Kaplan-Meier estimates were calculated at one, two, and five years post-diagnosis and also used to estimate conditional survival (restricted to 2000-2008). Age group, sex, residence and microscopic confirmation were considered in estimating rates for major histology types using multivariate models. RESULTS: The overall five-year survival rate was 27%. Oligodendrogliomas had the highest 5-year survival rate (65%, 95% CI: 62.5-67.4%) and glioblastomas the lowest (4.0%, 95% CI: 3.7-4.3%). Compared to Ontario, the age- and sex-adjusted 5-year glioblastoma survival estimates were lower in British Columbia, Alberta and Manitoba-Saskatchewan, lower in all other regions for diffuse astrocytoma, and lower in Manitoba-Saskatchewan for anaplastic astrocytomas. Estimates were significantly higher for oligodendrogliomas in Alberta, and for anaplastic oligodendrogliomas in Alberta and Quebec (P<0.05). Longer term conditional survival rates (surviving an additional 2 years 1-4 years after diagnosis) varied by histologic group. CONCLUSION: There is a need to further explore the underlying reasons for the observed variation in survival rates by region in an effort to improve the prognosis of brain cancer in the Canadian patient population. Conditional survival information has value for clinicians as they plan the course of treatment and follow-up for individual patients.


BMC Cancer ◽  
2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Yuri Ito ◽  
Tomio Nakayama ◽  
Isao Miyashiro ◽  
Akiko Ioka ◽  
Hideaki Tsukuma

2019 ◽  
Vol 26 (13) ◽  
pp. 4222-4228 ◽  
Author(s):  
Nadine L. de Boer ◽  
Job P. van Kooten ◽  
Ronald A. M. Damhuis ◽  
Joachim G. J. V. Aerts ◽  
Cornelis Verhoef ◽  
...  

Abstract Background Malignant peritoneal mesothelioma (MPM) is a rare and aggressive disease. Recently, focus has shifted toward a more aggressive and multimodal treatment approach. This study aimed to assess the patterns of care and survival for MPM patients in the Netherlands on a nationwide basis. Methods The records of patients with a diagnosis of MPM from 1993 to 2016 were retrieved from the Dutch Cancer Registry. Data regarding diagnosis, staging, treatment, and survival were extracted. Cox regression analyses and Kaplan–Meier survival curves were used to study overall survival. Results Between 1993 and 2016, MPM was diagnosed for 566 patients. Overall, the prognosis was very poor (24% 1-year survival). The most common morphologic subtype was the epithelioid subtype (88%), followed by the biphasic (8%) and sarcomatoid (4%) subtypes. Surgical treatment has become more common in recent years, which most likely has resulted in improved survival rates. In this study, improved survival was independently associated with hyperthermic intraperitoneal chemotherapy (hazard ratio [HR], 0.33; 95% confidence interval [CI], 0.21–0.55) and surgery with adjuvant systemic chemotherapy (HR, 0.33; 95% CI, 0.23–0.48). Nonetheless, most patients (67%) do not receive any form of anti-cancer treatment. Conclusion This study indicated that MPM still is a rare and fatal disease. The survival rates in the Netherlands have improved slightly in the past decade, most likely due to more aggressive treatment approaches and increased use of surgery. However, most patients still do not receive cancer-directed treatment. To improve MPM management, and ultimately survival, care should be centralized in expert medical centers.


2014 ◽  
Vol 105 (11) ◽  
pp. 1480-1486 ◽  
Author(s):  
Yuri Ito ◽  
Isao Miyashiro ◽  
Hidemi Ito ◽  
Satoyo Hosono ◽  
Dai Chihara ◽  
...  

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 9-9
Author(s):  
Daniela Hernandez ◽  
Carolina Velez-Mejia ◽  
Joel E Michalek ◽  
Qianqian Liu ◽  
Adolfo Enrique Diaz Duque

BACKGROUND: Diffuse Large B Cell Lymphoma (DLBCL) is the most common and most aggressive subtype of Non-Hodgkin Lymphoma. (Blood PMID: 9166827) Despite significant advances, treatment survival remains heterogenous due to biologic differences and perhaps ethnic and racial disparities. Multiple epidemiological studies have evaluated racial differences, mainly comparing African Americans (AA) with Non-Hispanic (NH), showing AA patients have a 10-20% higher risk of death. (BMC PMID: 21073707, Leuk PMID: 22800091, Cancer PMID: 24048801) A recent study showed how socioeconomic factors also influence patient survival and this can be linked to racial differences as well. (Blood PMID: 24705494). Small sample studies have characterized DLBCL in Hispanics (HI) but no definite conclusions have been drawn. (ASH Blood 2018 132:4867, JCO 10.1200, Blood (2019) 134 (Supplement_1): 2916). The need of larger studies to characterize survival differences establishes the basis of our population-based analysis in Texas comparing DLBCL in HI vs NH. METHODS: This is a retrospective study of a cohort of patients diagnosed with lymphoma from the Texas Cancer Registry (TCR) database. Patients with DLBCL diagnosed from 2006 to 2016 were identified by the International Classification of Diseases for Oncology Third Edition (ICD-O-3) code list. Standard demographic variables collected include gender, race, ethnicity, birthplace, occupation, dates at diagnosis and death, primary payer at diagnosis, subtype of lymphoma, stage, type of treatment, poverty index, and vitality status among others. Categorical outcomes were summarized with frequencies and percentages and age (years) was the only continuously distributed outcome with the mean and standard deviation. The significance of variation in the distribution of categorical outcomes with ethnicity (HI, NH) was assessed with Fisher's Exact tests or Pearson's Chi-square tests as appropriate; age was assessed with T-tests or Wilcoxon tests as appropriate. Survival time was measured in years from date of primary diagnosis to date of death. Patients not coded as dead were considered censored on survival time at the date last seen. Survival distributions were described with Kaplan-Meier curves and significance of variation in median survival with ethnicity was assessed with log rank testing. At risk tables were computed based on the Kaplan-Meier estimate of the survival curve. All statistical testing was two-sided with a significance level of 5%. RESULTS: A total of 15,083 patients met inclusion criteria, with 3583 HI and 11500 NH diagnosed with DLBCL from 2006 to 2016. Demographic data was analyzed and compared between both groups, (Fig 1A). The median age of diagnosis was 61.7 on HI population and 65 on the NH. Among the HI population most of the patients were of Mexican origin (25%). HI have a higher percentage (24%) of non-insured or Medicaid than NH (8%) with a significant p value of &lt;0.001 and a statistically significant higher poverty index within HI with 54% living on a 20-100% poverty land. Staging was similar between both groups. Most of the patients, 46% of HI and 45% of NH, have a stage III-IV grade DLBCL. The NH population received more treatment with chemotherapy 4% compared to 2% of the HI group, but this difference was not statistically significant. Both groups received similar treatments with bone marrow transplant, or radiation. The median survival time was similar between HI and NH, 4.4 and 4.3 years respectively. Survival probability at 2, 5 and 10 years for HI was 0.59 (CI 0.576,0.611), 0.48 (CI 0.467, 0.506) and 0.301 (CI 0.265,0.34) respectively. For NH the survival probability was similar, 0.602 (CI 0.592,0.611), 0.473 (CI 0.463,0484) and 0.242 (CI 0.223,0.262) respectively (Fig 1B). The overall survival probability at 10 years did not show a statistically significant difference for HI vs NH (p-value 0.46) (Fig 1C). CONCLUSION. Despite demographic disparities between HI and NH, and statistically significant differences with more HI patients uninsured and a higher index of poverty land; there was no significant distinction in overall survival in patients with DLBCL. The findings suggest no impact of ethnicity to that regard. Disclosures Diaz Duque: ADCT Therapeutics: Research Funding; Molecular Templates: Research Funding; AstraZeneca: Research Funding; Hutchinson Pharmaceuticals: Research Funding; Seattle Genetics: Speakers Bureau; Verastem: Speakers Bureau; AbbVie: Speakers Bureau.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4531-4531
Author(s):  
Abhishek Pandya ◽  
Munaf Al-Kadhimi ◽  
Qianqian Liu ◽  
Joel E Michalek ◽  
Adolfo Enrique Diaz Duque

Abstract Introduction: Classical Hodgkin lymphoma (cHL) accounts for about 90% of cases of HL. (Medicine PMID 26107683) Within cHL, there are 4 main histologic subtypes; the incidence of cHL varies based on age, race/ethnicity, geography, socioeconomic factors, Epstein Barr virus status, and the prevalence of HIV/AIDS. (Adv HematologyPMID 21197477) Considerable disparities exist in the incidence and survival rates between Hispanic (H) and non-Hispanic (NH) populations with cHL. (Ann Oncol PMID 22241896) Between 2013-2017, the incidence rate of cHL in Florida (FL) was 457 per 100,00, and in Texas (TX), it was 408 per 100,000. (North American Association of Central Cancer Registries, 2020) Our study aims to determine demographics, treatment outcomes, and survival outcomes of H and NH patients diagnosed with cHL in TX and FL. Methods: This is a retrospective study of a cohort of patients diagnosed with lymphoma (Hodgkin and Non-Hodgkin) from the Texas Cancer Registry (TCR) and the Florida Cancer Data System (FCDS) between 2006-2017. The third edition of the International Classification of Diseases for Oncology (ICD-O-3) was used to identify patient with cHL. Variables include gender, race, ethnicity, birthplace, occupation, dates at diagnosis and death, primary payer at diagnosis, subtype of lymphoma, stage, type of treatment, poverty index, and vitality status. The significance of variation in the distribution of categorical outcomes with ethnicity (H, NH) was assessed with Fisher's Exact tests or Pearson's Chi-square tests as appropriate; age was assessed with T-tests or Wilcoxon tests as appropriate. Survival time was measured in years from date of primary diagnosis to the date of death. Survival distributions were described with Kaplan-Meier curves and significance of variation in median survival with ethnicity was assessed with log rank testing. At risk tables were computed based on the Kaplan-Meier estimate of the survival curve. All statistical testing was two-sided with a significance level of 5%. Corrections for multiple testing were not applied. Results: There were 6152 (1266 H, 4886 NH) patients in FL and 6241(1736 H, 4505 NH) patients in TX identified with cHL. In FL, the median age at diagnosis was 44.8 years (y) for H vs 48.3y for NH (p &lt; 0.001) while in TX, there was no statistically significant difference (45.8y H, 44.9y NH, p = 0.102). In FL, there was no statistically significant difference among females (44% H, 46% NH, p = 0.136) and males (56% H, 53% NH, p = 0.136) while there was one in TX among females (43% H, 45% NH, p = 0.048) and males (58% H, 55% NH, p = 0.048). In FL, the majority of H (40.5%) and NH (36.6%) were in the 10-19.9% poverty index (p&lt;0.001). In TX, the majority of H (51.2%) were in the 20-100% poverty index while the majority of NH (32.2%) were in the 10-19.9% index (p&lt;0.001). In FL, 10.7% H and 6.4% NH were without insurance at time of diagnosis (p&lt;0.001) while in TX, 23.8% H and 11.7% NH were in that position (p&lt;0.001). The most common stage of diagnosis was stage III/IV with 37.8% H vs 34.2% NH in FL (p&lt;0.001) and 44.1% H vs 34.6% NH in TX (p&lt;0001). In FL, median survival time was 10.6y H vs 11.4y NH, while in TX, it was 10.3y H vs 10.4y NH. In FL, the survival probabilities at years 2, 5, and 10 were 0.858, 0.774, and 0.550 for H vs 0.808, 0.696, and 0.545 for NH, respectively. In TX, the survival probabilities at years 2, 5, and 10 were 0.758, 0.674, and 0.522 for H vs 0.828, 0.743, and 0.579 for NH, respectively. The survival probability at years 2, 5, and 10 were higher for H compared to NH in FL (p = 0.0018), however the survival probability at years 2, 5, and 10 were lower for H compared to NH in TX (p &lt; 0.0001). Conclusion: Our study of patients diagnosed with cHL demonstrated several statistically significant differences among H and NH patients in both states. Importantly, H patients in TX had a statistically significant lower survival probability at 2, 5, and 10y compared to NH patients. A reason for this could be the more significant number of uninsured H as compared to NH patients. Conversely, H patients in FL had a statistically significant higher survival probability at 2 and 5y compared to NH patients, partly explained by the lower median age of diagnosis of H patients compared to NH patients. There is a need for further analysis that could help explain the disparities among the different ethnicities. Figure 1 Figure 1. Disclosures Diaz Duque: Astra Zeneca: Research Funding; Epizyme: Consultancy; Morphosys: Speakers Bureau; Incyte: Consultancy; ADCT: Consultancy; Hutchinson Pharmaceuticals: Research Funding.


2021 ◽  
Vol 10 (4) ◽  
pp. 722
Author(s):  
Christoph Wohlmuth ◽  
Iris Wohlmuth-Wieser

The aim of this study is to assess the projected incidence and prognostic indicators of gynecologic malignancies in the pediatric population. In this population-based retrospective cohort study, girls ≤18 years with ovarian, uterine, cervical, vaginal and vulvar malignancies diagnosed between 2000 and 2016 were identified from the Surveillance, Epidemiology and End Results (SEER)-18 registry. The Kaplan–Meier method was used to analyze overall survival (OS). The age-adjusted annual incidence of gynecologic malignancies was 6.7 per 1,000,000 females, with neoplasms of the ovary accounting for 87.5%, vagina 4.5%, cervix 3.9%, uterus 2.5% and vulva 1.6% of all gynecologic malignancies. Malignant germ-cell tumors represented the most common ovarian neoplasm, with an increased incidence in children from 5–18 years. Although certain subtypes were associated with advanced disease stages, the 10-year OS rate was 96.0%. Sarcomas accounted for the majority of vaginal, cervical, uterine and vulvar malignancies. The majority of vaginal neoplasms were observed in girls between 0–4 years, and the 10-year OS rate was 86.1%. Overall, gynecologic malignancies accounted for 4.2% of all malignancies in girls aged 0–18 years and the histologic subtypes and prognosis differed significantly from patients in older age groups.


2021 ◽  
Vol 19 (S1) ◽  
Author(s):  
Vladimir Sergeevich Gordeev ◽  
◽  
Joseph Akuze ◽  
Angela Baschieri ◽  
Sanne M. Thysen ◽  
...  

Abstract Background Paradata are (timestamped) records tracking the process of (electronic) data collection. We analysed paradata from a large household survey of questions capturing pregnancy outcomes to assess performance (timing and correction processes). We examined how paradata can be used to inform and improve questionnaire design and survey implementation in nationally representative household surveys, the major source for maternal and newborn health data worldwide. Methods The EN-INDEPTH cross-sectional population-based survey of women of reproductive age in five Health and Demographic Surveillance System sites (in Bangladesh, Guinea-Bissau, Ethiopia, Ghana, and Uganda) randomly compared two modules to capture pregnancy outcomes: full pregnancy history (FPH) and the standard DHS-7 full birth history (FBH+). We used paradata related to answers recorded on tablets using the Survey Solutions platform. We evaluated the difference in paradata entries between the two reproductive modules and assessed which question characteristics (type, nature, structure) affect answer correction rates, using regression analyses. We also proposed and tested a new classification of answer correction types. Results We analysed 3.6 million timestamped entries from 65,768 interviews. 83.7% of all interviews had at least one corrected answer to a question. Of 3.3 million analysed questions, 7.5% had at least one correction. Among corrected questions, the median number of corrections was one, regardless of question characteristics. We classified answer corrections into eight types (no correction, impulsive, flat (simple), zigzag, flat zigzag, missing after correction, missing after flat (zigzag) correction, missing/incomplete). 84.6% of all corrections were judged not to be problematic with a flat (simple) mistake correction. Question characteristics were important predictors of probability to make answer corrections, even after adjusting for respondent’s characteristics and location, with interviewer clustering accounted as a fixed effect. Answer correction patterns and types were similar between FPH and FBH+, as well as the overall response duration. Avoiding corrections has the potential to reduce interview duration and reproductive module completion by 0.4 min. Conclusions The use of questionnaire paradata has the potential to improve measurement and the resultant quality of electronic data. Identifying sections or specific questions with multiple corrections sheds light on typically hidden challenges in the survey’s content, process, and administration, allowing for earlier real-time intervention (e.g.,, questionnaire content revision or additional staff training). Given the size and complexity of paradata, additional time, data management, and programming skills are required to realise its potential.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Norie Saito ◽  
Masato Furuhashi ◽  
Masayuki Koyama ◽  
Yukimura Higashiura ◽  
Hiroshi Akasaka ◽  
...  

AbstractFatty acid-binding protein 4 (FABP4) is secreted from adipose tissue and acts as an adipokine, and an elevated circulating FABP4 level is associated with metabolic disorders and atherosclerosis. However, little is known about the causal link between circulating FABP4 level and mortality in a general population. We investigated the relationship between FABP4 concentration and mortality including cardiovascular death during a 12-year period in subjects of the Tanno-Sobetsu Study, a population-based cohort (n = 721, male/female: 302/419). FABP4 concentration at baseline was significantly higher in female subjects than in male subjects. All-cause death occurred in 123 (male/female: 74/49) subjects, and 34 (male/female: 20/14) and 42 (male/female: 26/16) subjects died of cardiovascular events and cancer, respectively. When divided into 3 groups according to tertiles of FABP4 level at baseline by sex (T1–T3), Kaplan–Meier survival curves showed that there were significant differences in rates of all-cause death and cardiovascular death, but not cancer death, among the groups. Multivariable Cox proportional hazard model analysis with a restricted cubic spline showed that hazard ratio (HR) for cardiovascular death, but not that for all-cause death, significantly increased with a higher FABP4 level at baseline after adjustment of age and sex. The risk of cardiovascular death after adjustment of age, sex, body mass index and levels of brain natriuretic peptide and high-sensitivity C-reactive protein in the 3rd tertile (T3) group (HR: 4.96, 95% confidence interval: 1.20–22.3) was significantly higher than that in the 1st tertile (T1) group as the reference. In conclusion, elevated circulating FABP4 concentration predicts cardiovascular death in a general population.


Author(s):  
Majdi Imterat ◽  
Tamar Wainstock ◽  
Eyal Sheiner ◽  
Gali Pariente

Abstract Recent evidence suggests that a long inter-pregnancy interval (IPI: time interval between live birth and estimated time of conception of subsequent pregnancy) poses a risk for adverse short-term perinatal outcome. We aimed to study the effect of short (<6 months) and long (>60 months) IPI on long-term cardiovascular morbidity of the offspring. A population-based cohort study was performed in which all singleton live births in parturients with at least one previous birth were included. Hospitalizations of the offspring up to the age of 18 years involving cardiovascular diseases and according to IPI length were evaluated. Intermediate interval, between 6 and 60 months, was considered the reference. Kaplan–Meier survival curves were used to compare the cumulative morbidity incidence between the groups. Cox proportional hazards model was used to control for confounders. During the study period, 161,793 deliveries met the inclusion criteria. Of them, 14.1% (n = 22,851) occurred in parturient following a short IPI, 78.6% (n = 127,146) following an intermediate IPI, and 7.3% (n = 11,796) following a long IPI. Total hospitalizations of the offspring, involving cardiovascular morbidity, were comparable between the groups. The Kaplan–Meier survival curves demonstrated similar cumulative incidences of cardiovascular morbidity in all groups. In a Cox proportional hazards model, short and long IPI did not appear as independent risk factors for later pediatric cardiovascular morbidity of the offspring (adjusted HR 0.97, 95% CI 0.80–1.18; adjusted HR 1.01, 95% CI 0.83–1.37, for short and long IPI, respectively). In our population, extreme IPIs do not appear to impact long-term cardiovascular hospitalizations of offspring.


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