Updated cost-effectiveness of MDMA-assisted therapy for the treatment of posttraumatic stress disorder in the United States: Findings from a phase 3 trial.

BACKGROUND: Severe posttraumatic stress disorder (PTSD) is a prevalent and debilitating condition in the United States. and globally. Using pooled efficacy data from six phase 2 trials, therapy using 3,4-methylenedioxymethamphetamine (MDMA) appeared cost-saving from a payer's perspective. This study updates the cost-effectiveness analysis of this novel therapy using data from a new phase 3 trial, including the incremental cost-effectiveness of the more intensive phase 3 regimen compared with the shorter phase 2 regimen. METHODS: We adapted a previously-published Markov model to portray the costs and health benefits of providing MDMA-assisted therapy (MDMA-AT) to patients with chronic, severe, or extreme PTSD in a recent phase 3 trial, compared with standard care. Inputs were based on trial results and published literature. The trial treated 90 patients with a clinician administered PTSD scale (CAPS-5) total severity score of 35 or greater at baseline, and duration of PTSD symptoms of 6 months or longer. The primary outcome was assessed 8 weeks after the final experimental session. Patients received three 90-minute preparatory psychotherapy sessions, three 8-hour active MDMA or placebo sessions, and nine 90-minute integrative psychotherapy sessions. Our model calculates the per-patient cost of MDMA-AT, net all-cause medical costs, mortality, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs). We reported results from the U.S. health care payer's perspective for multiple analytic time horizons, (base-case is 30 years), and conducted extensive sensitivity analyses. Costs and QALYs were discounted by 3% annually. Costs were adjusted to 2020 U.S. dollars according to the medical component of the U.S. Bureau of Labor Statistics' Consumer Price Index (CPI). RESULTS: MDMA-AT as conducted in the phase 3 trial costs $11,537 per patient. Compared to standard of care for 1,000 patients, MDMA-AT generates discounted net health care savings of $132.9 million over 30 years, accruing 4,856 QALYs, and averting 61.4 premature deaths. MDMA-AT breaks even on cost at 3.8 years while delivering 887 QALYs. A third MDMA session generates additional medical savings and health benefits compared with a two-session regimen. Hypothetically assuming no savings in health care costs, MDMA-AT has an ICER of $2,384 per QALY gained. CONCLUSIONS: MDMA-AT provided to patients with severe or extreme chronic PTSD is cost-saving from a payer's perspective, while delivering substantial clinical benefit.

Cost effectiveness of caplacizumab in acquired thrombotic thrombocytopenic purpura.

Acquired thrombotic thrombocytopenic purpura (TTP) is a life-threatening disease characterized by thrombotic microangiopathy leading to end-organ damage. The standard of care (SOC) treatment is therapeutic plasma exchange (TPE) alongside immunomodulation with steroids, with increasing use of rituximab ± other immunomodulatory agents. The addition of caplacizumab, a nanobody targeting von Willebrand factor, was shown to accelerate platelet count recovery and reduce TPE treatments and hospital length of stay in TTP patients treated in 2 major randomized clinical trials. The addition of caplacizumab to SOC also led to increased bleeding from transient reductions in von Willebrand factor and increased relapse rates. Using data from the 2 clinical trials of caplacizumab, we performed the first-ever cost-effectiveness analysis in TTP. Over a 5-year period, the projected incremental cost-effectiveness ratio (ICER) in our Markov model was $1 482 260, significantly above the accepted 2019 US willingness-to-pay threshold of $195 300. One-way sensitivity analyses showed the utility of the well state and the cost of caplacizumab to have the largest effects on ICER, with a reduction in caplacizumab cost demonstrating the single greatest impact on lowering the ICER. In a probabilistic sensitivity analysis, SOC was favored over caplacizumab in 100% of 10 000 iterations. Our data indicate that the addition of caplacizumab to SOC in treatment of acquired TTP is not cost effective because of the high cost of the medication and its failure to improve relapse rates. The potential impact of caplacizumab on health system cost using longer term follow-up data merits further study.

Economic Evaluations in National Cancer Institute-Sponsored Network Cancer Clinical Trials.

OBJECTIVES: Amid a rapid increase in cancer care costs, we examined the extent to which economic evaluations (EEs) were conducted for new treatments evaluated in clinical trials at SWOG, a large National Cancer Institute-sponsored cancer research network. METHODS: We investigated phase III cancer treatment clinical trials activated from 1980 onward with primary articles reporting the protocol-designated endpoints published in scientific journals by 2017. Using PubMed, Web of Science, and EconLit, we searched for EEs using trial name, cancer type, information on the comparison arms, and refined keywords for EE designs. We reported the overall proportion of trials with associated EEs and trends of this proportion over time. We synthesized and analyzed information on funding sources, health outcomes, and sources of quality-of-life and cost data from the EEs. RESULTS: Among 182 examined trials, 15 EEs were associated with 13 (7.1%) trials. Among the EEs, almost half (7 of 15) were either unfunded or did not report funding information, whereas nearly half (7 of 15) were funded by pharmaceutical companies and 2 (2 of 15, 13.3%) were supported by federal funding. All EEs reported a healthcare payer perspective. The proportion of trials with an associated EE increased from 1980 to 1989 and 2000 to 2009, but never exceeded 11%. Sources for cost and quality-of-life data for the EEs primarily came from outside the clinical trials. CONCLUSIONS: Few economic studies of treatments evaluated in National Cancer Institute-sponsored clinical trials have been conducted. Policymakers, payers, and patients lack economic evidence to consider newly evaluated cancer treatments, despite an urgent need to control healthcare costs.

Preclinical Alzheimer Disease Drug Development: Early Considerations Based on Phase 3 Clinical Trials.

The number of people in the United States living with Alzheimer disease (AD) is growing, resulting in significant clinical and economic impact. Substantial research investment has led to drug development in stages of AD before symptomatic dementia, such as preclinical AD. Although there are no treatments approved for preclinical AD, there are currently 6 phase 3 clinical trials for preclinical AD treatments. In this article, we review these clinical trials and highlight considerations for future coverage decisions. In line with the definition of preclinical AD, enrollment in these trials focuses on cognitively unimpaired patients that are at high risk of AD because of family history and then genetic testing or brain imaging. Enrollment in most of these trials also allows for younger patients, including those aged under 65 years. Primary clinical trial endpoints focus on cognition often 4 or more years after treatment. Secondary endpoints include other measures of cognition and function, as well as biomarkers. Review of these trials brings to light a few potential considerations when covering these new medications in the future. First, novel and potentially costly approaches involving genetic testing and/or positron emission tomography imaging may be needed to identify appropriate patients and should be developed efficiently. Second, the long duration of these clinical trials suggest that there may be a need for alternative payment approaches in the United States that encourage early payers to pay for a medication for which the long-term benefits may not be realized until after the beneficiary is no longer with the health plan. Third, the value of AD treatments may differ across populations, creating a potential role for indication-based or population-based contracting. Finally, considering the potentially high budgetary impact and little real-world evidence for a new drug class, payers and manufacturers may want to consider outcomes-based payment approaches and coverage with evidence development to mitigate uncertainty about the value of the treatment demonstrated in well-defined populations in clinical trials versus more heterogeneous real-world settings. DISCLOSURES: This work was funded through a generous gift from the Global CEO Initiative on Alzheimer Disease. Hung reports grants from Agency for Healthcare Research and Quality and Pharmaceutical Research and Manufacturers of America outside the submitted work and past employment at CVS Health and BlueCross BlueShield Association. McClellan is an independent board member on the boards of Johnson & Johnson, Cigna, Alignment Healthcare, and Seer; co-chairs the Accountable Care Learning Collaborative and the Guiding Committee for the Health Care Payment Learning and Action Network; and receives fees for serving as an advisor for Cota and MITRE. Hamilton Lopez and Schneider have nothing to disclose. Part of this work was presented at the 2019 AMCP Nexus Meeting, October 29-November 1, 2019, in National Harbor, MD.

Cost-effectiveness analysis of gemcitabine plus cisplatin versus docetaxel, cisplatin and fluorouracil for induction chemotherapy of locoregionally advanced nasopharyngeal carcinoma.

BACKGROUND: Recently, patients who received induction chemotherapy plus concurrent chemoradiotherapy for locoregionally advanced nasopharyngeal carcinoma were found to have survival advantages compared with those receiving concurrent chemoradiotherapy alone in two large randomized trials. Based on these two trials, we present a cost-effectiveness analysis to compare gemcitabine and cisplatin (GP) versus cisplatin, fluorouracil, and docetaxel (TPF) for induction chemotherapy to treat locoregionally advanced nasopharyngeal carcinoma. METHODS: We constructed a Markov model to compare the cost and effectiveness of GP versus TPF. Clinical data including the frequency of adverse events, recurrence and death obtained from two randomized phase III trials were used to calculate transition probabilities and costs. Health utilities were estimated from the literature. Incremental cost-effectiveness ratios, expressed as dollars per quality-adjusted life-year (QALY), were calculated, and incremental cost-effectiveness ratios less than $27,534.25/QALY (3 × the per capita GDP of China, 2018) were considered cost-effective. One-way sensitivity and probabilistic sensitivity analyses explored the robustness of the model. RESULTS: Our base case model found that the total cost was $53,082.68 in the GP group and $45,482.66 in the TPF group. The QALYs were 6.82 and 4.11, respectively. The incremental cost-effectiveness ratio favoured the GP regimen, at an incremental cost of $2,804.44 per QALY. The probabilistic sensitivity analysis found that treatment with the GP regimen was cost-effective 100% of the time at a willingness-to-pay threshold of $27,534.25‬/QALY. CONCLUSION: In this model, GP was estimated to be cost-effective compared with cisplatin, fluorouracil, and docetaxel for patients with locoregionally advanced nasopharyngeal carcinoma from the payer's perspectives in the China.

Advances in clinical trial design: Weaving tomorrow's TB treatments.

Christian Lienhardt and co-authors discuss the conclusions of the PLOS Medicine Collection on advances in clinical trial design for development of new tuberculosis treatments.

Empowering phase II clinical trials to reduce phase III failures.

The large number of failures in phase III clinical trials, which occur at a rate of approximately 45%, is studied herein relative to possible countermeasures. First, the phenomenon of failures is numerically described. Second, the main reasons for failures are reported, together with some generic improvements suggested in the related literature. This study shows how statistics explain, but do not justify, the high failure rate observed. The rate of failures due to a lack of efficacy that are not expected, is considered to be at least 10%. Expanding phase II is the simplest and most intuitive way to reduce phase III failures since it can reduce phase III false negative findings and launches of phase III trials when the treatment is positive but suboptimal. Moreover, phase II enlargement is discussed using an economic profile. As resources for research are often limited, enlarging phase II should be evaluated on a case-by-case basis. Alternative strategies, such as biomarker-based enrichments and adaptive designs, may aid in reducing failures. However, these strategies also have very low application rates with little likelihood of rapid growth.

Influence of Modeling Choices on Value of Information Analysis: An Empirical Analysis from a Real-World Experiment.

BACKGROUND: Value of information (VOI) analysis often requires modeling to characterize and propagate uncertainty. In collaboration with a cancer clinical trial group, we integrated a VOI approach to assessing trial proposals. OBJECTIVE: This paper aims to explore the impact of modeling choices on VOI results and to share lessons learned from the experience. METHODS: After selecting two proposals (A: phase III, breast cancer; B: phase II, pancreatic cancer) for in-depth evaluations, we categorized key modeling choices relevant to trial decision makers (characterizing uncertainty of efficacy, evidence thresholds to change clinical practice, and sample size) and modelers (cycle length, survival distribution, simulation runs, and other choices). Using a $150,000 per quality-adjusted life-year (QALY) threshold, we calculated the patient-level expected value of sample information (EVSI) for each proposal and examined whether each modeling choice led to relative change of more than 10% from the averaged base-case estimate. We separately analyzed the impact of the effective time horizon. RESULTS: The base-case EVSI was $118,300 for Proposal A and $22,200 for Proposal B per patient. Characterizing uncertainty of efficacy was the most important choice in both proposals (e.g. Proposal A: $118,300 using historical data vs. $348,300 using expert survey), followed by the sample size and the choice of survival distribution. The assumed effective time horizon also had a substantial impact on the population-level EVSI. CONCLUSIONS: Modeling choices can have a substantial impact on VOI. Therefore, it is important for groups working to incorporate VOI into research prioritization to adhere to best practices, be clear in their reporting and justification for modeling choices, and to work closely with the relevant decision makers, with particular attention to modeling choices.

Factors Associated With Age Disparities Among Cancer Clinical Trial Participants.

Importance: Seminal investigation 2 decades ago alerted the oncology community to age disparities in participation in cooperative group trials; less is known about whether these disparities persist in industry-funded research. Objective: To characterize the age disparities among trial enrollees on randomized clinical trials (RCTs) of common cancers in clinical oncology and identify factors associated with wider age imbalances. Data Sources: Phase 3 clinical oncology RCTs were identified through ClinicalTrials.gov. Study Selection: Multiarm RCTs assessing a therapeutic intervention for patients with breast, prostate, colorectal, or lung cancer (the 4 most common cancer disease sites) were included. Data Extraction and Synthesis: Trial data were extracted from ClinicalTrials.gov. Trial screening and parameter identification were independently performed by 2 individuals. Data were analyzed in 2018. Main Outcomes and Measures: The difference in median age (DMA) between the trial participant median age and the population-based disease-site-specific median age was determined for each trial. Results: Three hundred two trials met inclusion criteria. The trials collectively enrolled 262 354 participants; 249 trials (82.5%) were industry-funded. For all trials, the trial median age of trial participants was a mean of 6.49 years younger than the population median age (95% CI, -7.17 to -5.81 years; P < .001). Age disparities were heightened among industry-funded trials compared with non-industry-funded trials (mean DMA, -6.84 vs -4.72 years; P = .002). Enrollment criteria restrictions based on performance status or age cutoffs were associated with age disparities; however, industry-funded trials were not more likely to use these enrollment restrictions than non-industry-funded trials. Age disparities were also larger among trials that evaluated a targeted systemic therapy and among lung cancer trials. Linear regression modeling revealed a widening gap between trial and population median ages over time at a rate of -0.19 years annually (95% CI, -0.37 to -0.01 years; P = .04). Conclusions and Relevance: Age disparities between trial participants and the incident disease population are pervasive across trials and appear to be increasing over time. Industry sponsorship of trials is associated with heightened age imbalances among trial participants. With an increasing role of industry funding among cancer trials, efforts to understand and address age disparities are necessary to ensure generalizability of trial results as well as equity in trial access.

Association of Industry and Academic Sponsorship With Negative Phase 3 Oncology Trials and Reported Outcomes on Participant Survival: A Pooled Analysis.

Importance: Only 3.4% of cancer drugs evaluated in phase 1 trials are approved by the US Food and Drug Administration, with most failing in phase 3 trials. Objective: To investigate whether an association exists between the sponsorship and conduct of a negative phase 3 randomized clinical trial (RCT) investigating a cancer drug that lacked supporting phase 2 trial evidence for that drug, and to evaluate the association with overall survival among patients randomized to the experimental arm of such phase 3 trials. Data Sources: Articles in the Lancet, Lancet Oncology, JAMA, JAMA Oncology, and Journal of Clinical Oncology published between January 2016 and June 2018 were searched. Study Selection: Phase 3 RCTs of cancer drugs that failed to improve the primary end point were selected and any prior phase 2 trial of the same drug that supported the phase 3 trial was selected without any date or journal restrictions. Data Extraction and Synthesis: Percentages of negative phase 3 RCTs of cancer drugs that lacked any phase 2 evidence, had a negative phase 2 trial, or had a positive phase 2 study were extracted. Associations were assessed using the Fisher exact test. Pooled hazard ratios and 95% CIs for the overall survival of patients enrolled in these negative phase 3 RCTs were estimated using a random-effects model. Main Outcomes and Measures: Negative phase 3 RCTs with a lack of a phase 2 trial or the presence of a negative phase 2 trial and overall survival of enrolled patients in the phase 3 RCTs. Results: In this meta-epidemiological study, 67 negative phase 3 RCTs on cancer drugs, which included 64 600 patients, met the criteria of being sponsored by industry or academic groups, of which 42 RCTs (63%) were industry sponsored and the remaining 25 RCTs (37%) were academic. A phase 2 trial was not available for 28 of these trials (42%). Of 29 trials (43%) with a phase 2 trial available, 8 trials (28%) failed to meet their primary end points and 5 of those were industry sponsored. There was no association with overall survival for patients participating in these negative phase 3 RCTs (pooled hazard ratio, 0.99; 95% CI, 0.96-1.02). When the pooled analysis was limited to the 27 RCTs with a hazard ratio above 1.00, the overall pooled hazard ratio for overall survival was 1.11 (95% CI, 1.06-1.16). No association between having a negative or undefined phase 2 trial and trial sponsorship was found using the Fisher exact test. Conclusions and Relevance: More than 40% of the negative phase 3 RCTs in oncology published in these 5 journals were conducted without a supporting phase 2 trial and were sponsored by both academia and industry. Running such trials not only may risk loss of resources owing to a failed trial but also may be associated with decreased patient survival. Further research and regulations in this area appear warranted.

Adequacy of Inclusion of Older Adults in NIH-Funded Phase III Clinical Trials.

In the United States, the population aged 65 and older is rapidly growing, and this group uses more healthcare resources and has unique healthcare needs that do not exist in younger populations. However, it was reported that older adults are excluded or underrepresented in clinical trials for several diseases. We examined phase III clinical trials funded by the National Institutes of Health found in www.clinicaltrials.gov from 1965 to 2015 that addressed top causes for hospitalization and/or disability-adjusted life years in older adults: congestive heart failure (n = 45), cardiac dysrhythmias (n = 24), coronary atherosclerosis (n = 106), heart attack (n = 76), stroke (n = 113), chronic obstructive pulmonary disease (n = 14), pneumonia (n = 48), lung cancer (n = 117), prostate cancer (n = 65), and osteoarthritis (n = 15). We then analyzed the representation of older adults in these studies. We found that 33% of studies had arbitrary upper age limits, and 67% of studies reported mean and/or median ages that skewed younger than expected for the disease or condition of interest. Beyond explicit exclusion by age, older adults were often implicitly excluded based on various comorbid conditions such as polypharmacy/concomitant medication (37%) or cardiac issues (30%). We conclude that outcomes of these trials may not be fully generalizable to the general population of older adults. J Am Geriatr Soc 67:218-222, 2019.

Costs of clinical trials with anticancer biological agents in an Oncologic Italian Cancer Center using the activity-based costing methodology.

AIM: The aim of the present study was to assess the estimated "per patient" total cost for a single Oncologic Italian Cancer Center participating in a multicenter clinical trial with new anticancer biological agents using the activity-based costing (ABC) methodology. METHODOLOGY: Nine randomized phase 3 clinical trials employing biological agents at the National Cancer Institute of Napoli, Italy, were analyzed to indentify "per patient" costs of each trial, according to the ABC methodology. The average consumption of resources for a patient completing the entire planned treatment was estimated for each trial. Through interviews of the personnel (doctors, nurses and technicians) and by analyses of the clinical trials protocols, the main activities of the 9 clinical trials were identified and, for each trial, the complete health care pathway of the patients and the treatment programmes were minutely reconstructed. Drug costs were not included because provided by Sponsors. PRINCIPAL FINDINGS: The average costs of the pre-study, treatment, monitoring, follow-up, audit, and administrative activities accounted for 2.357, 4.783, 700, 372, 1.263, and 9 Euro, respectively. The average total cost estimated for all "per patient" activities, including overhead costs, was 11.379 Euro. Staff costs accounted for € 5.988, while costs of diagnostic test accounted for 3.494 Euro. Clinical trials with immunotherapeutic drugs accounted for higher costs (+601 Euro as oncological staff costs, +1.318 Euro as intermediate services cost and +384 Euro as overheads). CONCLUSIONS: The average total cost estimated for all "per patient" activities of a clinical trial with new anticancer biological agents was 11.379 Euro using the ABC methodology.

Pilot study of the ability to probabilistically link clinical trial patients to administrative data and determine long-term outcomes.

BACKGROUND: Clinical trials are important but extremely costly. Utilization of routinely collected administrative data may simplify and enhance clinical trial data collection. PURPOSE: The aim of this study was to test the feasibility of use of administrative databases in Ontario, Canada, for long-term clinical trial follow-up, specifically (a) to determine whether limited patient identifiers held by the Canadian Cancer Trials Group can be used to probabilistically link with individuals in the Institute for Clinical Evaluative Sciences databases and if so, (b) the level of concordance between the two data sets. METHODS: This retrospective study was conducted through collaboration of established health service (Institute for Clinical Evaluative Sciences) and clinical trial (Canadian Cancer Trials Group) research groups in the province of Ontario, Canada, where healthcare is predominantly funded by the government. Adults with pre-treated metastatic colorectal cancer previously enrolled in the Canadian Cancer Trials Group CO.17 and CO.20 randomized phase III trials were included, limited to those in Ontario. The main outcomes were rate of successful probabilistic linkage and concordance of survival data, stated a priori. RESULTS: Probabilistic linkage was successful in 266/293 (90.8%) participants. In those patients for whom linkage was successful, the Canadian Cancer Trials Group (trial) and the Institute for Clinical Evaluative Sciences (administrative) data sets were concordant with regard to the occurrence of death during the period of clinical trial follow-up in 206/209 (98.6%). Death was recorded in the Institute for Clinical Evaluative Sciences, but not the Canadian Cancer Trials Group, for 57 cases, where the event occurred after the clinical trial cut-off dates. The recorded date of death matched closely between both databases. During the period of clinical trial conduct, administrative databases contained details of hospitalizations and emergency room visits not captured in the clinical trial electronic database. CONCLUSION: Prospective use of administrative data could enhance clinical trial data collection, both for long-term follow-up and resource utilization for economic analyses and do so less expensively than current primary data collection. Recording a unique identifier (e.g. health insurance number) in trial databases would allow deterministic linkage for all participants.

The End of Phase 3 Clinical Trials in Biosimilars Development?

Most patients still have limited or no access to life-changing therapeutic proteins in the treatment of their cancer or autoimmune disorders. The current clinical development model of biosimilars is expensive, and in most cases, large, phase 3 trials do not provide meaningful information on the clinical equivalence of biosimilars and reference compounds. At the same time, the development of state-of-the-art orthogonal analytical methods has enabled a better understanding of the structure and structure-function relationship of biotherapeutics. Hence, we suggest here that a solid chemistry, manufacturing, and controls (CMC) package and meaningful phase 1 studies will leave limited uncertainty on biosimilarity, which can be addressed-if needed-by post-approval, long-term follow-up studies (post-approval studies, pharmacovigilance, real world evidence data and registries, and possibly new post-approval models to be developed). We believe that this new approach may be more appropriate than 600- to 1000-patient, phase 3 trials in assessing biosimilarity and therapeutic equivalence, under the condition that the administered biosimilar given to individual patients can be clearly identified. Obviously, there will probably never be a "one size fits all" development model, and an individualized, risk-based approach to biosimilar development will always have to be considered and discussed early with regulators.

Cost Effectiveness of Secukinumab for the Treatment of Active Psoriatic Arthritis in the UK.

OBJECTIVE: The aim was to determine the cost effectiveness of secukinumab, a fully human interleukin-17A inhibitor, for adults in the UK with active psoriatic arthritis (PsA) who are tumour necrosis factor inhibitor (TNFi) naïve and without concomitant moderate-to-severe psoriasis, and who have responded inadequately to conventional systemic disease-modifying anti-rheumatic drugs (csDMARDs). PERSPECTIVE AND SETTING: The study took the perspective and setting of the UK National Health Service (NHS). METHODS: The model structure was a 3-month decision tree leading into a Markov model. Separate analyses based on the number of prior csDMARDs (one and two or more) were conducted, with secukinumab 150 mg compared to standard of care (SoC) and TNFis, respectively, for each subpopulation. Clinical parameters, including response at 3 months, were from the FUTURE 2 trial and a network meta-analysis. Outcomes included total costs and quality-adjusted life years (QALYs) over the 40-year time horizon (3.5% annual discount for both outcomes; cost year 2017), and incremental cost effectiveness ratios (ICERs). RESULTS: The ICER for secukinumab 150 mg versus SoC was £28,748 per QALY gained (one prior csDMARD). Secukinumab 150 mg dominated golimumab, certolizumab pegol and etanercept, and had an ICER of £5680 per QALY gained versus adalimumab and > £1 million saved per QALY foregone versus infliximab (two or more prior csDMARDs). Valuing one QALY at between £20,000 and £30,000, the probability of secukinumab having the highest net monetary benefit was 48.9% (one prior csDMARD) and 88.9% (two or more prior csDMARDs). Parameters related to Health Assessment Questionnaire scores were most influential. CONCLUSIONS: Secukinumab 150 mg at list price appears to represent a cost-effective use of NHS resources for adults with PsA who have responded inadequately to one or two or more prior csDMARDs.

Cost-efficacy analysis of 3% diclofenac sodium, ingenol mebutate, and 3.75% imiquimod in the treatment of actinic keratosis.

Actinic keratosis (AK) is a clinical condition characterized by keratinocytic dysplastic lesions of the epidermis, affecting individuals chronically exposed to sunlight. Topical therapies allow the treatment of a whole area of affected skin and currently include diclofenac sodium gel, 5-fluorouracil cream, 5-fluorouracil and acetylsalicylic acid solution, imiquimod cream, and ingenol mebutate gel. Due to the comparable efficacy of 3% diclofenac, ingenol mebutate, and 3.75% imiquimod in treating AK multiple lesions, a pharmacoeconomic evaluation of cost-effectiveness of the three treatments was needed. A cost-efficacy analysis comparing 3% diclofenac sodium with ingenol mebutate and 3.75% imiquimod was performed. In this analysis, efficacy data were combined with quality-of-life measurement derived from previous studies as well as the costs associated with the management of these lesions in Italy. Patients' demographics and clinical characteristics were assumed to reflect those from the clinical studies considered.

Non-commercial vs. commercial clinical trials: a retrospective study of the applications submitted to a research ethics committee.

There are many difficulties in undertaking independent clinical research without support from the pharmaceutical industry. In this retrospective observational study, some design characteristics, the clinical trial public register and the publication rate of noncommercial clinical trials were compared to those of commercial clinical trials. A total of 809 applications of drug-evaluation clinical trials were submitted from May 2004 to May 2009 to the research ethics committee of a tertiary hospital, and 16.3% of trials were noncommercial. They were mainly phase IV, multicentre national, and unmasked controlled trials, compared to the commercial trials that were mainly phase II or III, multicentre international, and double-blind masked trials. The commercial trials were registered and published more often than noncommercial trials. More funding for noncommercial research is still needed. The results of the research, commercial or noncommercial, should be disseminated in order not to compromise either its scientific or its social value.

The Pharmacological Costs of Second-Line Treatments for Recurrent Ovarian Cancer.

INTRODUCTION: In ovarian cancer, it is uncertain which chemotherapy regimen is more clinically effective and cost-effective for the treatment of recurrence; therefore, it might be interesting to make a balance between the cost of the drugs administered and the difference in progression-free survival (PFS) and overall survival (OS). METHODS: The present evaluation was restricted to pivotal phase 3 randomized controlled trials. We calculated the pharmacological costs necessary to get the benefit in PFS and OS. The costs of drugs are at the pharmacy of our hospital and are expressed in Euros (&OV0556;). We have subsequently applied the European Society for Medical Oncology Magnitude of Clinical Benefit Scale. RESULTS: Our study evaluated 3 phase 3 randomized controlled trials, including 2004 patients. The most relevant increase of costs was associated with the combination chemotherapy including trabectedin, with the highest costs for month of PFS gained (15,836 &OV0556;) and for month of OS gained (7198 &OV0556;), but it substantially differs considering the data of partially platinum-sensitive populations (platinum-free interval of 6-12 months), with 3959 &OV0556; for month of OS gained. CONCLUSIONS: The addition of trabectedin to pegylated liposomal doxorubicin for the treatment of recurrent ovarian cancer can lead to an increase of pharmacological costs. Differently, considering OS in patients with platinum-free interval of 6 to 12 months, there is a halving of pharmacological costs with the addition of trabectedin to pegylated liposomal doxorubicin. These costs are in line with the spending suggested as sustainable (thresholds of <$61,500 per life-year gained).