Dataset Information

Treatment and outcomes for glioblastoma in elderly compared with non-elderly patients: a population-based study.

ABSTRACT: Elderly patients make up a large percentage of the individuals newly diagnosed with glioblastoma (gbm), but they face particular challenges in tolerating standard therapy, and compared with younger patients, they experience significantly shorter survival. We set out to compare clinical characteristics, treatment patterns, and outcomes in a non-elderly group (<65 years) and an elderly group (?65 years) of patients diagnosed with gbm.This retrospective population-based study used a province-wide cancer registry to identify patients with a new diagnosis of gbm within a 6-year period (2006-2012). Of the 138 patients identified, 56 (40.6%) were 65 years of age or older. Demographic characteristics, treatment patterns, and overall survival (os) in the elderly and non-elderly groups were compared. Predictors of os were determined using multivariate analysis.Elderly patients were more likely to present with a poor performance status (Eastern Cooperative Oncology Group ? 2), to undergo biopsy without resection, and to receive whole-brain or hypofractionated radiotherapy. Compared with non-elderly patients, the elderly patients were less likely to receive adjuvant temozolomide. Survival time was significantly shorter in the elderly than in the non-elderly patients (7.2 months vs. 11.2 months). In multivariate analysis, surgical resection, hypofractionated radiotherapy (compared with whole-brain or conventional radiotherapy), and chemotherapy were predictive of os in older patients. Among elderly patients receiving radiation, survival was improved with the use of combined therapy compared with the use of radiation only (11.3 months vs. 4.6 months).Overall survival was shorter for elderly patients with gbm than for non-elderly patients; the elderly patients were also less likely to receive intensive surgical or adjuvant therapy. Our population-based analysis demonstrated improved os with surgical resection, hypofractionated radiotherapy, and temozolomide, and supports the results of recent clinical trials demonstrating a benefit for combination chemoradiotherapy in older patients.

SUBMITTER: Morgan ER

PROVIDER: S-EPMC5407884 | biostudies-other | 2017 Apr

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Treatment and outcomes for glioblastoma in elderly compared with non-elderly patients: a population-based study.

Morgan E R ER Norman A A Laing K K Seal M D MD

Current oncology (Toronto, Ont.) 20170427 2

<h4>Purpose</h4>Elderly patients make up a large percentage of the individuals newly diagnosed with glioblastoma (gbm), but they face particular challenges in tolerating standard therapy, and compared with younger patients, they experience significantly shorter survival. We set out to compare clinical characteristics, treatment patterns, and outcomes in a non-elderly group (<65 years) and an elderly group (≥65 years) of patients diagnosed with gbm.<h4>Methods</h4>This retrospective population-ba ...[more]

PMID: 28490931

Similar Datasets

Project description:BackgroundAdults aged ≥65 years who are dually enrolled in Medicare and Medicaid are an at-risk group in health care. However, to the best of the authors' knowledge, the outcomes of women with gynecologic cancers in this population are unknown.MethodsThe current study was a population-based cohort study of North Carolina state cancer registry cases of uterine, ovarian, cervical, and vulvar/vaginal cancers (2003-2009), with linked enrollment in Medicare and state Medicaid. Outcomes of all-cause mortality and stage of disease at the time of diagnosis were analyzed as a function of enrollment status using multivariate analysis and survival curves.ResultsOf 4522 women aged ≥65 years (3702 of whom were enrolled in Medicare [82%] and 820 of whom were dually enrolled [18%]), there were 2286 cases of uterine (51%), 1587 cases of ovarian (35%), 302 cases of cervical (7%), and 347 cases of vulvar/vaginal (8%) cancers. Dual enrollees had increased all-cause mortality overall (adjusted hazard ratio [aHR], 1.34; 95% confidence interval [95% CI], 1.19-1.49), and within each cancer site (uterine: aHR, 1.22 [95% CI, 1.02-1.47]; ovarian: aHR, 1.25 [95% CI, 1.05-1.49]; cervical: aHR, 1.34 [95% CI, 0.96-1.87]; and vulvar/vaginal: aHR, 1.93 [95% CI, 1.36-2.72]). Increased odds of advanced-stage disease at the time of diagnosis among dual enrollees was only present in patients with uterine cancer (adjusted odds ratio, 1.38; 95% CI, 1.06-1.79). Stratified survival curves demonstrated the strongest disparities among women with early-stage uterine and early-stage vulvar/vaginal cancers.ConclusionsWomen aged ≥65 years who were dually enrolled in Medicare and Medicaid were found to have an overall 34% increase in all-cause mortality after diagnosis with a gynecologic cancer compared with the non-dually enrolled Medicare population. Women with early-stage uterine and vulvar/vaginal cancers appeared to have the most disparate outcomes. Because these malignancies are generally curable, they have the most potential for benefit from targeted interventions.

Project description:BackgroundSquamous cell carcinoma (SCC) is a main pathological type of non-small cell lung cancer. It is common among elderly patients with poor prognosis. We aimed to establish an accurate nomogram to predict survival for elderly patients (≥ 60 years old) with SCC based on the Surveillance, Epidemiology, and End Results (SEER) database.MethodsThe gerontal patients diagnosed with SCC from 2010 to 2015 were collected from the Surveillance, Epidemiology, and End Results (SEER) database. The independent prognostic factors were identified using multivariate Cox proportional hazards regression analysis, which were utilized to conduct a nomogram for predicting survival. The novel nomogram was evaluated by Concordance index (C-index), calibration curves, net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA).Results32,474 elderly SCC patients were included in the analysis, who were randomly assigned to training cohort (n = 22,732) and validation cohort (n = 9742). The following factors were contained in the final prognostic model: age, sex, race, marital status, tumor site, AJCC stage, surgery, radiation and chemotherapy. Compared to AJCC stage, the novel nomogram exhibited better performance: C-index (training group: 0.789 vs. 0.730, validation group: 0.791 vs. 0.733), the areas under the receiver operating characteristic curve of the training set (1-year AUC: 0.846 vs. 0.791, 3-year AUC: 0.860 vs. 0.801, 5-year AUC: 0.859 vs. 0.794) and the validation set (1-year AUC: 0.846 vs. 0.793, 3-year AUC: 0.863 vs. 0.806, 5-year AUC: 0.866 vs. 0.801), and the 1-, 3- and 5-year calibration plots. Additionally, the NRI and IDI and 1-, 3- and 5-year DCA curves all confirmed that the nomogram was a great prognosis tool.ConclusionsWe constructed a novel nomogram that could be practical and helpful for precise evaluation of elderly SCC patient prognosis, thus helping clinicians in determining the appropriate therapy strategies for individual SCC patients.

Project description:ObjectiveTo determine neonatal outcomes (perinatal mortality and special care unit admission) and maternal outcomes (mode of delivery, delivery complications) of elective induction of labour compared with expectant management.DesignRetrospective cohort study using an unselected population database.SettingConsultant and midwife led obstetric units in Scotland 1981-2007.Participants1,271,549 women with singleton pregnancies of 37 weeks or more gestation.InterventionsOutcomes of elective induction of labour (induction of labour with no recognised medical indication) at 37, 38, 39, 40, and 41 weeks' gestation compared with those of expectant management (continuation of pregnancy to either spontaneous labour, induction of labour or caesarean section at a later gestation).Main outcome measuresExtended perinatal mortality, mode of delivery, postpartum haemorrhage, obstetric anal sphincter injury, and admission to a neonatal or special care baby unit. Outcomes were adjusted for age at delivery, parity, year of birth, birth weight, deprivation category, and, where appropriate, mode of delivery.ResultsAt each gestation between 37 and 41 completed weeks, elective induction of labour was associated with a decreased odds of perinatal mortality compared with expectant management (at 40 weeks' gestation 0.08% (37/44,764) in the induction of labour group versus 0.18% (627/350,643) in the expectant management group; adjusted odds ratio 0.39, 99% confidence interval 0.24 to 0.63), without a reduction in the odds of spontaneous vertex delivery (at 40 weeks' gestation 79.9% (35,775/44,778) in the induction of labour group versus 73.7% (258,665/350,791) in the expectant management group; adjusted odds ratio 1.26, 1.22 to 1.31). Admission to a neonatal unit was, however, increased in association with elective induction of labour at all gestations before 41 weeks (at 40 weeks' gestation 8.0% (3605/44,778) in the induction of labour group compared with 7.3% (25,572/350,791) in the expectant management group; adjusted odds ratio 1.14, 1.09 to 1.20).ConclusionAlthough residual confounding may remain, our findings indicate that elective induction of labour at term gestation can reduce perinatal mortality in developed countries without increasing the risk of operative delivery.

Project description:The rising geriatric population and the increased susceptibility of this age group to tuberculosis (TB), the deadliest single infectious agent, is bothersome for India. This study tried to explore the demographic and treatment outcome differences between the elderly (aged 60 years and above) and non-elderly TB (<60 years) patients from South India. This study was part of a large ongoing cohort study under the RePORT India consortium. Newly diagnosed TB patients recruited into the cohort between 2014 and 2018 were included in this study. Pretested and standardized questionnaire and tools were used to collect data and were stored securely for the entire cohort. Required demographic, anthropometric and treatment related variables were extracted from this database and analyzed using Stata version 14.0. Prevalence of elderly TB was summarized as percentage with 95% confidence interval (CI). Generalized linear modelling was attempted to find the factors associated with elderly TB. A total of 1,259 eligible TB patients were included into this present study. Mean (SD) of the participants in the elderly and non-elderly group was 65.8 (6.2) and 40.2 (12.0) respectively. Prevalence of elderly TB was 15.6% (95%CI: 13.6%-17.6%) with nearly 71% belonging to 60-69 age category. Male sex, OBC caste, poor education, unemployment, marriage, alcohol consumption and unable to work as per Karnofsky score were found to be significantly associated with an increased prevalence of elderly TB. Unfavorable outcomes (12% vs 6.5%, p value: 0.018), including death (9.3% vs 3.4%, p value: 0.001) were significantly higher among the elderly group when compared to their non-elderly counterparts. The current TB programme should have strategies to maintain follow up with due attention to adverse effects, social support and outcomes. Additional research should focus on predictors for unfavorable outcomes among the elderly TB group and explore ways to handle the same. Rendering adequate social support from the health system side and family side would be a good start.

Project description:BackgroundFurther studies are needed to expand the evidence for the association of rivaroxaban with a lower risk of adverse renal outcomes in patients with atrial fibrillation (AF) as compared with warfarin, especially in Asians.ObjectivesTo determine whether there are differences in adverse renal outcomes between rivaroxaban and warfarin-treated AF patients.MethodsUsing the Korean nationwide claims database partly linked to laboratory results, patients with AF who initiated warfarin or rivaroxaban from 1 January 2014 to 31 December 2017 were identified. Inverse probability of treatment weighting (IPTW) was used to balance the baseline characteristics of the two groups. The primary outcome (kidney failure) was defined as the need for maintenance dialysis or having kidney transplantation. For the exploratory analysis in a subset of patients with baseline and follow-up laboratory results, the composite of renal outcomes, including estimated glomerular filtration rate (eGFR) lower than 15 ml/min/1.73 m2 at follow-up measurement, starting dialysis, or having kidney transplantation, ≥ 30% decline in eGFR, doubling of serum creatinine level, and acute kidney injury (AKI) were evaluated. The two groups were compared using Cox proportional hazards regression in the weighted population.ResultsWe identified 30,933 warfarin users and 17,013 rivaroxaban users (51% of low dose rivaroxaban). After IPTW, the mean age was 70 years, and the mean CHA2DS2-VASc score was 3.9 in both groups. During a median follow-up of 0.93 (interquartile ranges 0.23-2.10) years, weighted incidence rates of kidney failure for warfarin and rivaroxaban were 0.83 and 0.32 per 100 person-years, respectively. Compared with the warfarin group, the rivaroxaban group was associated with a lower risk of kidney failure (hazard ratio [HR] 0.389, 95% confidence interval [CI] 0.300-0.499, p < 0.001). In patients with preexisting chronic kidney disease or eGFR ≤ 60 ml/min/1.73 m2, rivaroxaban was more beneficial than warfarin in reducing the risk of kidney failure. For the composite of five renal outcomes in the exploratory analysis, the rivaroxaban group showed a lower risk than warfarin (HR 0.798, 95% CI 0.713-0.892, p < 0.001).ConclusionRivaroxaban was associated with lower risks of renal adverse outcomes than warfarin in Korean patients with AF.

Dataset Information

Treatment and outcomes for glioblastoma in elderly compared with non-elderly patients: a population-based study.

Publications

Treatment and outcomes for glioblastoma in elderly compared with non-elderly patients: a population-based study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets