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In this work, the removal of Methylene Blue dye from the synthetic textile effluent has been investigated using a hybrid system (photocatalysis and nanofiltration). The Commercial ZnO powder was used as a catalyst in the photocatalytic operation. Response surface methodology (RSM) was employed to optimize the various operating parameters such as pH, catalyst loading and time duration and this optimization has enhanced the decolorization efficiencies. The results were compared and contrasted with the individual as well as the combined systems at optimized conditions. The results indicate that the photocatalysis process alone has resulted in 33% of dye decolorization and 26.5% of total organic carbon (TOC) removal, while the individual ceramic nanoflitration system has yielded 43% of decolorization and 35.03% TOC removal. About 94% of the dye was decolorized, and 70% of TOC was removed in 94.23 minutes of operation by the hybrid system at optimized initial operating conditions.Despite the evolution of the therapeutic arsenal for the treatment of multiple myeloma (MM) over the past decade, autologous stem-cell transplantation (ASCT) remains an integral part of the treatment of patients with both newly diagnosed and relapsed MM. The advent of novel therapies, such as immunomodulatory agents, proteasome inhibitors, and monoclonal antibodies, has led to unprecedented levels of deep hematologic responses. Nonetheless, studies show that ASCT has an additive effect leading to additional deepening of responses. As the therapeutic agents for MM continue to evolve, the timing, duration, and sequence of their use in combination with ASCT will be crucial to understand to obtain the deepest response and survival benefit for patients with MM. This review aims to discuss the role of ASCT for the management of MM, with a particular focus on the role of ASCT in the context of novel therapies and minimal residual disease.PURPOSE Approximately 30% of patients with cancer who have pain have symptomatic improvement within 1 month using conventional pain management strategies. Engaging clinical pharmacists in palliative medicine (PM) and use of pharmacogenomic testing may improve cancer pain management. METHODS Adult patients with cancer with uncontrolled pain had baseline assessments performed by PM providers using the Edmonton Symptom Assessment Scale. Pharmacotherapy was initiated or modified accordingly. A subset of patients consented to pharmacogenomic testing. The first pharmacy assessment occurred within 1 week of baseline and a second assessment was done within another week if intervention was required. Each patient's final visit was at 1 month. Pain improvement rate (a reduction of two or more points on a 0-to-10 pain scale) from baseline to final visit was compared applying the Fisher exact test to published historical control data, and between patients with and without pharmacogenomic testing. Multivariate logistic regression identified pain improvement covariates. RESULTS Of 142 patients undergoing pharmacy assessments, 53% had pain improvement compared with 30% in historical control subjects (P less then .001). Pain improvement was not different between those who received (n = 43) and did not receive (n = 99) pharmacogenomics testing (56% v 52%; P = .716). However, of 15 patients with an actionable genotype, 73% had pain improvement. Higher baseline pain (odds ratio [OR], 1.79; 95% CI, 1.43 to 2.24; P less then .001), black or other race (OR, 0.42; 95% CI, 0.18 to 0.95; P = .04), and performance status 3 or 4 (OR, 0.18; 95% CI, 0.04 to 0.83; P = .03) were associated with odds of pain improvement, but pharmacogenomic testing was not (P = .64). CONCLUSION Including pharmacists in PM improves pain management effectiveness. Although pharmacogenomics did not statistically improve pain, a subset of patients with actionable genotypes may have benefited, warranting larger and randomized studies.PURPOSE ASCO is the premier and largest global professional society for oncology care professionals. In 2015, ASCO launched a longitudinal Learning Cohort Pilot Project to catalog and better understand the learning behaviors and preferences of oncology health care providers. A secondary goal was to assess learner preferences and utilization related to ASCO's portfolio of educational resources. METHODS The Learning Cohort Pilot Project was conducted between November 2015 and August 2016 with 49 ASCO members. Participants were selected via convenience sampling and stratified random sampling to generate a cohort that mirrored the demographic distribution of overall ASCO membership. Participants completed a different ASCO resource-specific feedback activity each month, which measured professional educational needs, sources sought, and preferences for educational resources. Responses were organized by demographic variables in our participant pool to identify trends in provider learning preferences. Fisher's exact test was used to assess the association between participant demographics and practice setting and responses. Holm's procedure was used to adjust for multiple testing. RESULTS The Learning Cohort Pilot Project revealed statistically significant relationships between participant demographic variables and learning preferences. Age and practice setting were the demographic variables most consistently associated with the different preferences explored throughout the targeted activities. CONCLUSION The results of this pilot cohort reinforced the hypothesis that oncology care providers have different professional educational needs and preferences that can be potentially anticipated and met with tailored resources. Delivering solutions to meet these needs represents an opportunity for further research and resource development.PURPOSE Multidisciplinary cancer meetings (MDMs) are an integral component of quality care; however, little research exists regarding patients' views on this model of care. We aimed to explore and understand the attitudes of patients toward MDMs. METHODS A mixed methods exploratory design was used. Qualitative data from patients with a current or previous diagnosis of cancer were collected and analyzed using a grounded theory approach. Results informed the development of a questionnaire survey that was administered to patients with a current or previous diagnosis of cancer. Results were analyzed using descriptive statistics. RESULTS Nine patients participated in 3 focus groups, and 152 patients (response rate, 90%) completed the questionnaire. Patients were strongly supportive of MDMs and thought that all patients with cancer should be routinely discussed. More than 90% of surveyed patients believed MDMs were reassuring, meant all treatment modalities were considered, and led to evidence-based treatment recommendations. Patients wanted MDMs to focus on medical treatment planning rather than psychosocial issues, and 87% regarded the meeting as confidential. Patients described a preference for doctor-led decision making, and most (84%) wanted MDM treatment decisions to be discussed with them in a subsequent consultation, with 73% of patients also wanting this in a written format. CONCLUSION Patients strongly endorse MDMs as a means to develop an evidence-based, medical treatment plan agreed to by consensus. They want to be purposely informed of the meeting and its outcomes. Results from this study can help inform future guidelines on the conduct of MDMs.PURPOSE As novel hormonal therapies, such as abiraterone and enzalutamide, move into earlier stages of treatment of advanced prostate cancer, there are significant cost implications. We used the ASCO Value Framework (AVF) and European Society of Medical Oncology (ESMO) Magnitude of Clinical Benefit Scale (MCBS) to quantify and compare the incremental clinical benefit and costs of these agents in the metastatic castration-resistant prostate cancer (mCRPC) and metastatic castration-sensitive prostate cancer (mCSPC) settings. METHODS We searched PubMed for randomized phase III trials of abiraterone and enzalutamide in mCRPC and mCSPC. Dovitinib Incremental clinical benefit was quantified using the AVF and ESMO-MCBS by 2 independent assessors. Incremental drug costs were calculated using average wholesale prices (AWPs) from the RED BOOK Online. RESULTS In mCRPC, 2 abiraterone trials (COU-AA-301 and COU-AA-302) and 2 enzalutamide trials (AFFIRM and PREVAIL) met search criteria. AVF scores ranged from 46.3 to 66.6, suggesting clinical benefit; ESMO-MCBS scores ranged from 3 to 5, with lower clinical benefit in the mCRPC predocetaxel setting. The overall incremental AWP ranged from $83,460.94 to $205,128.85. In mCSPC, 4 trials met criteria (LATITUDE, STAMPEDE, ENZAMET, and ARCHES; AVF scores were 79.8, 33.3, 59, and 17, respectively). All of the studies showed benefit except ARCHES. By ESMO-MCBS, both LATITUDE and STAMPEDE showed benefit (score for 4 for both studies); ENZAMET and ARCHES were not evaluable. The overall cost of treatment was significantly higher in the mCSPC setting. CONCLUSION The AVF and ESMO-MCBS frameworks generated slightly different results but suggested that abiraterone and enzalutamide show clinical benefit in both mCRPC and mCSPC but trended to lower clinical benefit and increased costs in earlier disease stages. Further refinement of the AVF and ESMO-MCBS is needed to facilitate their use and their ability to inform clinical practice in a rapidly changing treatment landscape.PURPOSE We undertook this study to evaluate the incremental cost per quality-adjusted life-year (QALY) gained with use of adjuvant trastuzumab as compared with chemotherapy alone among patients with nonmetastatic breast cancer in India. METHODS We used a Markov model to estimate the incremental cost of using trastuzumab (for 1 year, 6 months, or 9 weeks) as compared with chemotherapy alone using a societal perspective, excluding indirect productivity losses. Although the outcomes (QALYs) in the standard chemotherapy arm were estimated after calibrating the model as per survival data from 2 Indian cancer registries, effectiveness estimates from the HERA trial and a joint analysis of the NSABP B-31 and NCCTG N9831 trials were used to estimate the consequences of 1-year trastuzumab use. The cost of treatment was estimated using national standard treatment guidelines and real-world use estimates for different treatment modalities as per data from Indian cancer registries. Probabilistic sensitivity analysis was undertaken to evaluate parameter uncertainty. RESULTS For 1 year of trastuzumab use, the incremental benefit per patient, incremental cost per QALY gained, and probability of being cost effective using HERA trial estimates were 1.29 QALYs, 178,877 Indian national rupees (INRs; US$2,558), and 4%, respectively, whereas the corresponding figures using joint analysis estimates were 1.69 QALYs, INR 134,413 (US$1,922), and 57.3%, respectively. CONCLUSION Use of trastuzumab for 1 year is not cost effective in India at the current price. However, trastuzumab use for 9 weeks is cost effective and should be included in clinical guidelines and reimbursement policies. A price reduction of 15% to 35% increases the probability of 1-year trastuzumab use being cost effective, to 90%.

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