Confirmatory Trials Research Articles

Spending by the Centers for Medicare & Medicaid Services Before and After Confirmation of Benefit for Drugs Granted US Food and Drug Administration Accelerated Approval, 2012 to 2017

Accelerated approval by the US Food and Drug Administration (FDA) grants market authorization for drugs based on clinical trials using surrogate end points likely to anticipate a clinical benefit. The FDA requires postapproval trials to confirm benefit, after which the accelerated approval is converted to a standard approval or is withdrawn. However, trials frequently fail to assess clinical benefit, and expenditure for these drugs may be substantial. To evaluate spending by the Centers for Medicare & Medicaid Services (CMS) on drugs granted FDA accelerated approval before and after confirmation of benefit. This was a cross-sectional study of CMS spending on drugs granted FDA accelerated approval for original indications from 2012 to 2017, with follow-up through 2020. Using data from the Drugs@FDA database and a validated methodology, the characteristics of new drugs granted FDA accelerated approval were identified and analyzed, including indication area, type of drug, type of confirmatory trial end point, orphan designation, number of supplemental indications, and conversion status. Overall and annualized spending by Medicare Parts B and D and Medicaid from 2012 to 2020, before and after conversion to standard approval. Analyses were conducted from June 30, 2021, to March 21, 2022. From 2012 to 2017, the FDA granted accelerated approval to 38 drugs for 42 original indications. Through 2020, CMS spending for these drugs was $67.9 billion (median [IQR], $329.3 million [$54.4 million-$1.6 billion]). For 22 drugs (58%) that were converted to standard approval on the basis of clinical trial results, annualized spending increased substantially after conversion ($35.0 million vs $199.0 million), and spending after conversion accounted for $51.0 billion (75%) of overall spending. However, only 6 conversions (27%) of the 22 were supported by confirmatory trials evaluating clinical outcomes as primary end points. Drugs evaluated using surrogate end points accounted for $40.3 billion (59%) of CMS spending. The findings of this cross-sectional study indicate that most of the drugs granted FDA accelerated approval for original indications from 2012 to 2017 lacked confirmatory trials evaluating clinical outcomes to support conversion to standard approval. Automatic coverage mandates produced substantial CMS spending for drugs with unproven clinical benefits.

Design and implementation of an adaptive confirmatory trial in Japanese patients with palmoplantar pustulosis

Background/AimsMore and more literature describes how to overcome challenges in the implementation of adaptive designs for trials for drug approval process. Most adaptive trials were conducted in Western Europe or USA for Phase II or Phase II/III settings; however, examples of non-oncology pivotal adaptive trials used for regulatory approval in Japan are rare. This article elaborates on our experience with designing and implementing a Phase III adaptive confirmatory trial permitting unblinded sample size re-estimation and futility analysis after a single interim analysis in Japanese patients with palmoplantar pustulosis (PPP) receiving guselkumab. MethodsWe provide insights into consideration at the design stage of an adaptive study, including design options, development duration, operational risks, and statistical methods. We also share our experience from two aspects of implementation: conducting an adaptive clinical trial in Japan and setting up a Japanese domestic independent data monitoring committee. ResultsFinal analysis results of this study successfully demonstrated the effectiveness of guselkumab for the treatment of PPP. Based on the interim analysis results, it was recommended to continue the study without sample size adjustment. ConclusionWe discuss results versus design assumptions and advantages to the conduct of the study with the adaptive design approach. Significant cost savings were gained and development time was reduced compared to the alternative option of a fixed conservative design. Several limitations of our study are also discussed.

If the Doors of Perception Were Cleansed, Would Chronic Pain be Relieved? Evaluating the Benefits and Risks of Psychedelics

Psychedelic substances have played important roles in diverse cultures, and ingesting various plant preparations to evoke altered states of consciousness has been described throughout recorded history. Accounts of the subjective effects of psychedelics typically focus on spiritual and mystical-type experiences, including feelings of unity, sacredness, and transcendence. Over the past 2 decades, there has been increasing interest in psychedelics as treatments for various medical disorders, including chronic pain. Although concerns about adverse medical and psychological effects contributed to their controlled status, contemporary knowledge of psychedelics suggests that risks are relatively rare when patients are carefully screened, prepared, and supervised. Clinical trial results have provided support for the effectiveness of psychedelics in different psychiatric conditions. However, there are only a small number of generally uncontrolled studies of psychedelics in patients with chronic pain (eg, cancer pain, phantom limb pain, migraine, and cluster headache). Challenges in evaluating psychedelics as treatments for chronic pain include identifying neurobiologic and psychosocial mechanisms of action and determining which pain conditions to investigate. Truly informative proof-of-concept and confirmatory randomized clinical trials will require careful selection of control groups, efforts to minimize bias from unblinding, and attention to the roles of patient mental set and treatment setting. PerspectiveThere is considerable promise for the use of psychedelic therapy for pain, but evidence-based recommendations for the design of future studies are needed to ensure that the results of this research are truly informative.

0766 Group Trajectories Demonstrate Robust Effects of Targeted Hypoglossal Nerve Stimulation in the THN3 Randomized, Controlled Trial

Abstract Introduction THN3 was the first reported parallel-arm, randomized controlled trial (RCT) of hypoglossal nerve stimulation (HGNS), wherein targeted HGNS (THN) was shown to be safe and efficacious at ameliorating sleep disordered breathing in patients with moderate to severe OSA and BMI≤35kg/m2 without screening with drug-induced sleep endoscopy. Unique among reported HGNS trials, separate cohorts of patients receiving early and late THN were followed longitudinally. Methods Measurements of apnea-hypopnea index (AHI) were available Pre-enrollment, Baseline (2 nights), Month 4 and Month 12/15. Except for Pre-enrollment, AHI values were calculated by an independent core laboratory from polysomnographic recordings. All subjects with complete data were included for analysis. AHI trajectories were constructed for early and late THN activation (Treatment[T], N=83, Month 1 and Control[C], N=45, Month 4, respectively) by computing median values. Confidence intervals were calculated by bootstrapping each median (N=30,000). Patient-reported outcome measures (PROMs) were treated similarly. Results AHI (Median (95% CI)) trajectories demonstrated a consistent pattern of pre-implant alignment (Pre-enrollment T:39.1 (36.0-45.0), C:38.0 (32.0-41.0); Baseline 1 T:36.1 (33.0-39.9), C:31.3 (27.2-38.6); Baseline 2 T:37.0 (34.3-41.0), C:35.2 (32.3-38.2)), divergence at the conclusion of the randomization period (Month 4 T:15.6 (11.9-25.3), C:30.6 (23.7-38.6)) and reconvergence following 11 months of treatment (Month 12/15 T:20.7 (16.0-26.4), C:18.1 (16.3-23.3)). Non-standardized Pre-enrollment AHI was slightly higher than Baseline values. Trajectories were similar for oxygen desaturation index (Baseline 1 T:35.3 (31.9-38.0),C:34.3 (27.5-40.3); Baseline 2 T:37.1 (33.4-39.3),C:36.8 (33.9-38.3); Month 4 T:19.5 (16.2-28.5), C:33.8 (25.4-41.1); Month 12/15 T:19.5 (16.0-25.6), C:19.7 (16.3-26.0)), the Epworth Sleepiness Scale (Baseline T:11.0 (10.0-13.0),C:11.5 (8.5-14.0); Month 4 T:6.0 (5.0-7.0), C:11.5 (8.0-12.5); Month 12/15 T:6.0 (4.0-7.0), C:5.5 (4.5-6.0)), the Functional Outcomes of Sleep Questionnaire (Baseline T:15.3 (14.0-16.5),C:14.7 (13.3-16.6); Month 4 T:18.3 (17.7-18.8), C:16.7 (14.9-17.7); Month 12/15 T:18.8 (18.3-19.3), C:18.5 (17.5-19.5)) and the Snore Outcomes Survey (Baseline T:26.6 (21.9-31.3),C:21.9 (18.8-31.3); Month 4 T:60.9 (56.3-67.9), C:29.7 (23.4-42.9); Month 12/15 T:62.5 (59.4-68.8), C:68.8 (62.5-71.9)). Conclusion Group trajectories of sleep-disordered breathing and PROMs further demonstrate the robust effects of THN in patients with moderate to severe OSA and the value of parallel-arm RCTs. Similar results may be expected in the ongoing OSPREY confirmatory trial of THN. Support (If Any) LivaNova

Medicare Spending on Drugs With Accelerated Approval.

The U.S. Food and Drug Administration provides accelerated approval to drugs on the basis of surrogate end points deemed to be "reasonably likely" to predict clinical benefit. To receive full approval, drugs must complete a confirmatory trial. Although most accelerated approved drugs ultimately receive full approval, others remain on the market without full approval for many years, and some are withdrawn before full approval is granted. Until confirmatory trials are completed and full approval is granted, there is uncertainty surrounding each drug's clinical benefits. To estimate fee-for-service Medicare payments on accelerated approved drugs without full approvals. Cross-sectional analysis. Fee-for-service Medicare Part B and Part D drug claims in 2019. Beneficiaries enrolled in Medicare Part B and Part D plans. Medicare spending for drugs treating accelerated approved indications without full approval, beneficiary spending, and drug characteristics. In 2019, 45 drugs associated with 69 accelerated approved indications lacked full approval. Of those, the fee-for-service Medicare program spent $1.2 billion on 36 drugs across 55 indications. Medicare beneficiaries had $209 million in out-of-pocket spending on these drugs. Oncology drugs represented 82% of these indications and 72% of the Medicare spending. Extrapolating to Medicare Advantage, total Medicare spending on these drugs in 2019 was $1.8 billion. The study drugs may have clinical benefit and may come to receive full approval after this analysis. The algorithm used to identify accelerated approved indications is novel. Generalizability to other years is unclear. In 2019, fee-for-service Medicare spent $1.2 billion on accelerated approved drugs without full approval. Medicare should adjust incentives to encourage sponsors to complete confirmatory trials as soon as possible. Laura and John Arnold Foundation.

A randomized phase III study of pretransplant conditioning for AML/MDS with fludarabine and once daily IV busulfan ± clofarabine in allogeneic stem cell transplantation

Pretransplant conditioning with Fludarabine (Flu)-Busulfan (Bu) is safe, but clofarabine (Clo) has improved antileukemic activity. Hypothesis: Flu+Clo-Bu (FCB) yields superior progression-free survival (PFS) after allogeneic transplantation. We randomized 250 AML/MDS patients aged 3–70, Karnofsky Score ≥80, with matched donors, to FCB (n = 120) or Flu-Bu (n = 130), stratifying complete remission (CR) vs. No CR, (NCR). HCT-CI scores varied, from 0 to 10. All evaluable patients engrafted. Median follow-up was 66 months (interquartile range: 58–80). Three-year relapse incidence (RI), 25% with FCB, vs. 39% with Flu-Bu (p = 0.018), offset by higher non-relapse mortality, 22.6% (95%CI: 16–30.2%) vs. 12.3% (95%CI: 6.5–19%). Three-year PFS was 52% (95%CI: 44–62%) (FCB), vs. 48% (95%CI: 41–58%) (Flu-Bu). FCB benefited CR patients less, NCR patients age ≤ 60 had 3-year 34% RI (95%CI: 19–49%) (FCB) vs. 56% (95%CI: 38–70%) after Flu-Bu (p = 0.037). NCR patients >60 years had 3-year RI 10.0% (FCB), vs. 56.0%, after Flu-Bu (p = 0.003). Bayesian regression analysis including treatment-covariate interactions showed FCB superiority in NCR patients with low HCT-CI (0–2). Serious adverse event profiles were similar for the regimens. Conditioning with FCB did not improve PFS overall, but improved disease control in NCR patients, mandating confirmatory trials. Remission status and HCT-CI should be considered when using FCB.

Elucidating treatment targets and mediators within a confirmatory efficacy trial: study protocol for a randomized controlled trial of cognitive-behavioral therapy vs. light therapy for winter depression

BackgroundThis study is a confirmatory efficacy trial of two treatments for winter seasonal affective disorder (SAD): SAD-tailored group cognitive-behavioral therapy (CBT-SAD) and light therapy (LT). In our previous efficacy trial, post-treatment outcomes for CBT-SAD and LT were very similar, but CBT-SAD was associated with fewer depression recurrences two winters later than LT (27.3% in CBT-SAD vs. 45.6% in LT). CBT-SAD engaged and altered a specific mechanism of action, seasonal beliefs, which mediated CBT-SAD’s acute antidepressant effects and CBT-SAD’s enduring benefit over LT. Seasonal beliefs are theoretically distinct from LT’s assumed target and mechanism: correction of circadian phase. This study applies the experimental therapeutics approach to determine how each treatment works when it is effective and to identify the best candidates for each. Biomarkers of LT’s target and effect include circadian phase angle difference and the post-illumination pupil response. Biomarkers of CBT-SAD’s target and effect include decreased pupillary and sustained frontal gamma-band EEG responses to seasonal words, which are hypothesized as biomarkers of seasonal beliefs, reflecting less engagement with seasonal stimuli following CBT-SAD. In addition to determining change mechanisms, this study tests the efficacy of a “switch” decision rule upon recurrence to inform clinical decision-making in practice.MethodsAdults with SAD (target N = 160) will be randomzied to 6-weeks of CBT-SAD or LT in winter 1; followed in winter 2; and, if a depression recurrence occurs, offered cross-over into the alternate treatment (i.e., switch from LT➔CBT-SAD or CBT-SAD➔LT). All subjects will be followed in winter 3. Biomarker assessments occur at pre-, mid-, and post-treatment in winter 1, at winter 2 follow-up (and again at mid-/post-treatment for those crossed-over), and at winter 3 follow-up. Primary efficacy analyses will test superiority of CBT-SAD over LT on depression recurrence status (the primary outcome). Mediation analyses will use parallel process latent growth curve modeling.DiscussionConsistent with the National Institute of Mental Health’s priorities for demonstrating target engagement at the level of Research Domain Criteria-relevant biomarkers, this work aims to confirm the targets and mechanisms of LT and CBT-SAD to maximize the impact of future dissemination efforts.Trial registrationClinicalTrials.gov identifier: NCT03691792. Registered on October 2, 2018.

Comparison of Bayesian vs Frequentist Adaptive Trial Design in the Stroke Hyperglycemia Insulin Network Effort Trial

Bayesian adaptive trial design has the potential to create more efficient clinical trials. However, a barrier to the uptake of bayesian adaptive designs for confirmatory trials is limited experience with how they may perform compared with a frequentist design. To compare the performance of a bayesian and a frequentist adaptive clinical trial design. This prospective cohort study compared 2 trial designs for a completed multicenter acute stroke trial conducted within a National Institutes of Health neurologic emergencies clinical trials network, with individual patient-level data, including the timing and order of enrollments and outcome ascertainment, from 1151 patients with acute stroke and hyperglycemia randomized to receive intensive or standard insulin therapy. The implemented frequentist design had group sequential boundaries for efficacy and futility interim analyses at 90 days after randomization for 500, 700, 900, and 1100 patients. The bayesian alternative used predictive probability of trial success to govern early termination for efficacy and futility with a first interim analysis at 500 randomized patients and subsequent interims after every 100 randomizations. The main outcome was the sample size at end of study, which was defined as the sample size at which each of the studies stopped accrual of patients. Data were collected from 1151 patients. As conducted, the frequentist design passed the futility boundary after 936 participants were randomized. Using the same sequence and timing of randomization and outcome data, the bayesian alternative crossed the futility boundary approximately 3 months earlier after 800 participants were randomized. Both trial designs stopped for futility before reaching the planned maximum sample size. In both cases, the clinical community and patients would benefit from learning the answer to the trial's primary question earlier. The common feature across the 2 designs was frequent interim analyses to stop early for efficacy or for futility. Differences between how these analyses were implemented between the 2 trials resulted in the differences in early stopping.

The Effect of Cerebrolysin on Anxiety, Depression, and Cognition in Moderate and Severe Traumatic Brain Injury Patients: A CAPTAIN II Retrospective Trial Analysis.

Background and Objectives: Traumatic brain injuries represent an important source of disease burden requiring emergency inpatient care and continuous outpatient tailored rehabilitation. Although most TBIs are mild, patients are still developing post-TBI depression, anxiety, and cognitive impairments. Our secondary retrospective trial analysis aimed to (1) analyze correlations between HADS-Anxiety/HADS-Depression and scales that measure cognitive and motor processes in patients treated with Cerebrolysin compared to the placebo group and (2) compare anxiety and depression scores among the two treatment groups. Materials and Methods: Our secondary retrospective analysis focused on TBI patients with moderate and severe disability divided into two groups: Cerebrolysin (treatment) and saline solution (procedural placebo). We analyzed data from 125 patients. We computed descriptive statistics for nominal and continuous variables. We used Spearman’s correlation to find associations between HADS and other neuropsychological scales and the Mann–Whitney U test to compare HADS-Anxiety and HADS-Depression scores among the two study arms. Results: Our sample consisted of patients with a mean age of 45.3, primarily men, and with a 24 h GCS (Glasgow Coma Scale) mean of 12.67. We obtained statistically significant differences for HADS-Anxiety during the second and third visits for patients treated with Cerebrolysin. Our results show that Cerebrolysin has a large effect size (0.73) on anxiety levels. In addition, there are positive and negative correlations between HADS-Anxiety and Depression subscales and other neuropsychological scales. Conclusions: Our secondary database analysis supports the existing body of evidence on the positive effect of Cerebrolysin on post-TBI mental health status. Future confirmatory trials are necessary to clarify the link between the intervention and measured outcomes.

Statistical and Operational Considerations for 2-Stage Adaptive Designs with Simultaneous Evaluation of Overall and Marker-Selected Populations in Oncology Confirmatory Trials.

In biomarker enrichment study designs that start with an all-comer population, simultaneous evaluation of the entire and the marker-selected populations can be more desirable than pre-specifying the testing order, when the degree of marker predictiveness is uncertain. While there has been substantial research on this approach, our goal is to provide a complete overview and guidance in all aspects of this approach, including the interim analysis potentially using different endpoints, combination tests with associated multiplicity control, and the final treatment effect estimation. Regulatory/operational aspects and actual cases demonstrating the potential advantage of this approach are also described.

Venetoclax combined with induction chemotherapy in patients with newly diagnosed acute myeloid leukaemia: a post-hoc, propensity score-matched, cohort study

Venetoclax combined with intensive chemotherapy has been shown to be safe with promising activity in fit patients with newly diagnosed acute myeloid leukaemia. The aim of this study was to compare the activity of venetoclax plus intensive chemotherapy with intensive chemotherapy alone. This was a post-hoc propensity score matched analysis of prospective clinical trials (NCT03214562, NCT02115295, and NCT01289457) in patients at The University of Texas MD Anderson Cancer Center, Texas, USA between March 29, 2010, and June 15, 2021. Eligible patients were aged 18 years and older, and had newly diagnosed acute myeloid leukaemia or high-risk myelodysplastic syndrome, and were treated within trials incorporating purine analogues with an anthracycline and cytarabine either with venetoclax plus intensive chemotherapy or with intensive chemotherapy alone. Patients in the venetoclax plus intensive chemotherapy cohort were matched with patients in the intensive chemotherapy cohort. Morphological response and measurable residual disease (MRD) was assessed using bone marrow aspiration and biopsy and eight-colour multiparameter flow cytometry. The primary objectives were rate of MRD negative composite complete response and cumulative incidence of transition to allogeneic haematopoietic stem-cell transplantation (HSCT). All patients who had response within two treatment cycles (induction and re-induction) were included in the analyses. Secondary objectives included assessment of event-free and overall survival. The propensity matched cohort included 279 patients (median age 49 years [IQR 39-57]; 131 [47%] were men and 148 [53%] were women); 85 in the venetoclax plus intensive chemotherapy cohort and 194 in the intensive chemotherapy cohort. After a median follow up of 30 months (95% CI 26-36), 64 (86%) of 74 patients in the venetoclax plus intensive chemotherapy cohort had an MRD-negative composite complete response rate compared with 86 [61%] of 140 patients in the intensive chemotherapy cohort (odd ratio 3·2 [95% CI 1·5-6·7]; p=0·0028). The overall cumulative incidence of allogeneic HSCT in responding patients was higher with venetoclax plus intensive chemotherapy than intensive chemotherapy (79% [95% CI 67-88] vs 57% [49-65]; hazard ratio [HR] 1·52 [95% CI 1·11-2·08]; p=0·012). Venetoclax plus intensive chemotherapy improved event-free survival (median not reached [NR; 95% CI NR-NR] vs 14·3 months [10·7-33·5]; HR 0·57 [95% CI 0·34-0·95]; p=0·030), but overall survival did not significantly differ between the two cohorts (median NR [95% CI 24-NR] vs 32 months [19-NR]; HR 0·63 [95% CI 0·35-1·1], p=0·13). Venetoclax combined with intensive induction chemotherapy induced deep MRD-negative remissions, allowing transition to allogeneic HSCT in first remission, and improvement in event-free survival. These results highlight the incremental benefit of venetoclax added to intensive induction chemotherapy across European LeukemiaNet risk groups, and serve as a benchmark to inform enrolment on future confirmatory prospective clinical trials. None.

Planning a method for covariate adjustment in individually randomised trials: a practical guide.

BackgroundIt has long been advised to account for baseline covariates in the analysis of confirmatory randomised trials, with the main statistical justifications being that this increases power and, when a randomisation scheme balanced covariates, permits a valid estimate of experimental error. There are various methods available to account for covariates but it is not clear how to choose among them.MethodsTaking the perspective of writing a statistical analysis plan, we consider how to choose between the three most promising broad approaches: direct adjustment, standardisation and inverse-probability-of-treatment weighting.ResultsThe three approaches are similar in being asymptotically efficient, in losing efficiency with mis-specified covariate functions and in handling designed balance. If a marginal estimand is targeted (for example, a risk difference or survival difference), then direct adjustment should be avoided because it involves fitting non-standard models that are subject to convergence issues. Convergence is most likely with IPTW. Robust standard errors used by IPTW are anti-conservative at small sample sizes. All approaches can use similar methods to handle missing covariate data. With missing outcome data, each method has its own way to estimate a treatment effect in the all-randomised population. We illustrate some issues in a reanalysis of GetTested, a randomised trial designed to assess the effectiveness of an electonic sexually transmitted infection testing and results service.ConclusionsNo single approach is always best: the choice will depend on the trial context. We encourage trialists to consider all three methods more routinely.

Efficiency of a randomized confirmatory basket trial design constrained to control the family wise error rate by indication.

Basket trials pool histologic indications sharing molecular pathophysiology, improving development efficiency. Currently, basket trials have been confirmatory only for exceptional therapies. Our previous randomized basket design may be generally suitable in the resource-intensive confirmatory phase, maintains high power even with modest effect sizes, and provides nearly k-fold increased efficiency for k indications, but controls false positives for the pooled result only. Since family wise error rate by indications may sometimes be required, we now simulate a variant of this basket design controlling family wise error rate at 0.025k, the total family wise error rate of k separate randomized trials. We simulated this modified design under numerous scenarios varying design parameters. Only designs controlling family wise error rate and minimizing estimation bias were allowable. Optimal performance results when . We report efficiency (expected # true positives/expected sample size) relative to k parallel studies, at 90% power ("uncorrected") or at the power achieved in the basket trial ("corrected," because conventional designs could also increase efficiency by sacrificing power). Efficiency and power (percentage active indications identified) improve with a higher percentage of initial indications active. Up to 92% uncorrected and 38% corrected efficiency improvement is possible. Even under family wise error rate control, randomized confirmatory basket trials substantially improve development efficiency. Initial indication selection is critical.

For Whom the Price Escalates: High Price and Uncertain Value of Cancer Drugs.

The price of cancer drugs has skyrocketed, yet it is not clear whether their value is commensurate with their price. More cancer drugs are approved under expedited review, which considers less rigorous clinical evidence, yet only 20% of them show an overall survival gain in the confirmatory trial. Moreover, clinical data are often generated based on small, single-arm studies with surrogate outcomes, challenging economic evaluation. With their high price and uncertain (marginal) clinical value, cancer drugs are frequently rejected by health technology assessment (HTA) bodies. Therefore, agencies, including the UK’s National Institute for Health and Care Excellence (NICE), have adopted cancer drug funds (CDF) or risk-sharing schemes to provide extra access for expensive cancer drugs which fail to meet NICE’s cost effectiveness threshold. With rising pricing and fewer new cancer medications with novel mechanisms of action, it is unclear if newly marketed cancer therapies address unmet clinical needs or whether we are paying too much. Transparency, equity, innovativeness, and sustainability are all harmed by a “special” approach for cancer medications. If early access is allowed, confirmatory trials within a certain time frame and economic evaluation should be conducted, and label changes or disinvestment should be carried out based on those evaluations.

Tebentafusp in first-line melanoma trials: An outperforming outlier

Uveal melanoma is distinct from other melanomas. In the advanced and metastatic stages, little to no improvement have been seen over time. Tebentafusp is a novel mechanism of action bispecific gp100 peptide-HLA-directed CD3 T-cell engager fusion protein (“-fusp”). Tebentafusp was granted full approval on January 25th 2022 in the setting of HLA-A*02:01-positive adult patients with unresectable or metastatic uveal melanoma. The approval was based on the overall survival advantage of tebentafusp over physician's choice therapy, in previously untreated uveal melanoma patients, based on the IMCgp100-202 trial. While we welcome positive results for this unmet need, three issues are raised by the trial. First, the control arm was restricted, precluding important options. Second, post-progression treatment was provided to a smaller fraction of patients than in real-life, which raises the question of whether overall survival was negatively impacted by limited care after the trial ended. Finally, the discrepancy between overall survival and progression-free survival benefit is an outlier in the context of previous melanoma trials. While it is clear that tebentafusp has an important role to play in this tumor type, the exact line is not yet well known. Confirmatory trials are needed for this compound.

Application of Meta-analysis to Evaluate Relationships Among ARIA-E Rate, Amyloid Reduction Rate, and Clinical Cognitive Response in Amyloid Therapeutic Clinical Trials for Early Alzheimer's Disease.

Removal of the extracellular Aβ plaques in the brain is one of the mechanisms to treat Alzheimer's disease (AD). Separate clinical trials for several therapeutic compounds that target amyloid plaque reduction have shown noteworthy correlations among plaque removal, the Amyloid-Related Imaging Abnormalities (ARIA) rate, and clinical efficacy of the treatment. The relationships among therapeutic dose levels, the rate of amyloid removal, and the clinical efficacy deserve further investigation across therapeutic agents, particularly for clinical trials to provide insights for strategies to develop amyloid therapies in Alzheimer's disease. Published data summaries from clinical trials with amyloid therapies of aducanumab, donanemab, lecanemab, and gantenerumab are evaluated with meta-analyses. Linear mixed models for repeated measurements for visits and random study effects are applied to analyze amyloid centiloid value reduction from baseline and clinical cognition change from baseline for treatment groups according to doses and compounds for the clinical trials. Logistic regression analysis is applied to evaluate the relationship between the amyloid removal rate and the ARIA-Edema (ARIA-E) rate across different dose groups and clinical trials. The extent of amyloid removal varies among therapeutic agents and their dose levels. Across treatment groups and clinical trials, amyloid centiloid value reductions at Weeks 26 and 52 are strongly correlated with both ARIA-E rate over 78weeks and the clinical efficacy response in the Clinical Dementia-Rating Scale Sum of Boxes (CDR-SB) score change from baseline at Week 78; and the Spearman rank correlations for amyloid reduction at Week 52 are stronger as - 0.79 with the ARIA-E rate over 78weeks and 0.73 with the Week 78 CDR-SB score change from baseline. Aβ plaques removal in the brain due to amyloid therapy is strongly correlated with a better clinical response in patients with early Alzheimer's disease and a higher ARIA-E rate for the treatment groups and clinical trials in this meta-analysis. These relationships suggest that the balance between the clinical efficacy response and safety in ARIA-E rate is relevant for the choice of doses for amyloid therapies in confirmatory clinical trials.

Association between time to treatment and clinical outcomes in endovascular thrombectomy beyond 6 hours without advanced imaging selection

BackgroundThe effectiveness and safety of endovascular thrombectomy (EVT) in the late window (6–24 hours) for acute ischemic stroke (AIS) patients selected without advanced imaging is undetermined. We aimed to assess...

Multi-Response Optimization of Al2O3 Nanopowder-Mixed Wire Electrical Discharge Machining Process Parameters of Nitinol Shape Memory Alloy

Shape memory alloy (SMA), particularly those having a nickel–titanium combination, can memorize and regain original shape after heating. The superior properties of these alloys, such as better corrosion resistance, inherent shape memory effect, better wear resistance, and adequate superelasticity, as well as biocompatibility, make them a preferable alloy to be used in automotive, aerospace, actuators, robotics, medical, and many other engineering fields. Precise machining of such materials requires inputs of intellectual machining approaches, such as wire electrical discharge machining (WEDM). Machining capabilities of the process can further be enhanced by the addition of Al2O3 nanopowder in the dielectric fluid. Selected input machining process parameters include the following: pulse-on time (Ton), pulse-off time (Toff), and Al2O3 nanopowder concentration. Surface roughness (SR), material removal rate (MRR), and recast layer thickness (RLT) were identified as the response variables. In this study, Taguchi’s three levels L9 approach was used to conduct experimental trials. The analysis of variance (ANOVA) technique was implemented to reaffirm the significance and adequacy of the regression model. Al2O3 nanopowder was found to have the highest contributing effect of 76.13% contribution, Ton was found to be the highest contributing factor for SR and RLT having 91.88% and 88.3% contribution, respectively. Single-objective optimization analysis generated the lowest MRR value of 0.3228 g/min (at Ton of 90 µs, Toff of 5 µs, and powder concentration of 2 g/L), the lowest SR value of 3.13 µm, and the lowest RLT value of 10.24 (both responses at Ton of 30 µs, Toff of 25 µs, and powder concentration of 2 g/L). A specific multi-objective Teaching–Learning-Based Optimization (TLBO) algorithm was implemented to generate optimal points which highlight the non-dominant feasible solutions. The least error between predicted and actual values suggests the effectiveness of both the regression model and the TLBO algorithms. Confirmatory trials have shown an extremely close relation which shows the suitability of both the regression model and the TLBO algorithm for the machining of the nanopowder-mixed WEDM process for Nitinol SMA. A considerable reduction in surface defects owing to the addition of Al2O3 powder was observed in surface morphology analysis.

Efficacy and Safety of Ojeok-San Plus Saengmaek-San for Gastroesophageal Reflux-Induced Chronic Cough: A Pilot, Randomized, Double-Blind, Placebo-Controlled Trial.

Introduction: Gastroesophageal reflux-induced chronic cough (GERC) is one of the most common etiologies of chronic cough. Despite the growing prevalence and interest in GERC, no effective treatment is currently available. In our study, we used a combination of herbal medicines, Ojeok-san (OJS) plus Saengmaek-san (SMS), for the treatment of GERC. Methods: We conducted a pilot, randomized, placebo-controlled, parallel-arm, single-center clinical trial to assess the feasibility of our study protocol, as our study is the first herbal medicine trial for GERC. All enrolled participants were randomly assigned to either the intervention or placebo group in a 1:1 ratio and were administered trial drugs three times a day for 6 weeks, with an evaluation visit performed every 2 weeks for their efficacy and safety assessment until the follow-up visit (week 8). We evaluated the severity and frequency of cough, cough-specific quality of life, airway hypersensitivity, and reflux-related gastrointestinal symptoms, as well as pattern identification, to investigate the complex mechanisms of reflux cough syndrome. Results: A total of 30 participants were enrolled, and 25 completed the study at Kyung Hee University Korean Medicine Hospital from 26 December 2018 to 31 May 2021. OJS plus SMS significantly improved the cough diary score (CDS), cough visual analog scale, Korean version of the Leicester Cough Questionnaire, Hull Airway Reflux Questionnaire, and Gastrointestinal Symptom Rating Scale after the treatment compared to the baseline. Notably, OJS plus SMS showed significant efficacy in the daytime and total CDS compared with the placebo. Only one adverse event was observed during the trial, and no serious adverse events occurred. Additionally, we achieved successful results in feasibility outcomes by exceeding the ratio of 80%. Conclusion: We confirmed the feasibility of our trial design and demonstrated the potential of OJS plus SMS in relieving the severity of cough and GI symptoms in GERC patients with safe and successful feasibility results. We anticipate that our study results will be used as the basis for further large-scale, well-designed, confirmatory trials to evaluate the safety and efficacy of OJS plus SMS in GERC. Clinical Trial Registration: [https://cris.nih.go.kr], identifier WHO International Clinical Trials Registry Platform, Clinical Research Information Service [KCT0003115].

Impact of FDA label change on immunotherapy for metastatic urothelial cancer (mUC) and subsequent changes in mortality.

459 Background: In May 2017, atezolizumab and pembrolizumab (IO) received accelerated approval for first-line treatment of cisplatin-ineligible patients with mUC, irrespective of PDL1 test status. In June 2018, the FDA and EMA restricted IO to cisplatin-ineligible patients with PDL1 positive tumors based on early review of data from confirmatory trials which suggested decreased overall survival in patients with PDL1 negative tumors treated with IO. We assessed the impact of the FDA label change on clinical outcomes of mUC patients in routine care. Methods: We conducted a controlled interrupted time series analysis using the US Flatiron Health electronic health record-derived de-identified database. The study sample included patients from 280 cancer clinics nationwide diagnosed with mUC and compared patients potentially impacted by the label change (cisplatin ineligible patients initiating first-line IO or carboplatin-based chemotherapy) to a comparator group who would have been unaffected by the label change (patients initiating first-line cisplatin-based chemotherapy) from 01 April 2017 to 17 May 2018 (pre-label change) and 20 June 2018 to 01 March 2020 (post-label change), excluding a 30-day wash out period encompassing the time-period between the initial FDA safety alert (18 May 2018) and the official FDA label change (19 June 2018). We used Cox regression to estimate adjusted pre-/post-label change related mortality differences in patients receiving carboplatin-chemotherapy or IO, accounting for secular changes in survival through comparison with the cisplatin comparator group. Results: The study included 829 patients with mUC initiating treatment in the pre-label change period (582 IO or carboplatin, 247 cisplatin) and 1,184 patients in the post-label change period (849 IO or carboplatin, 336 cisplatin), respectively. The use of IO, carboplatin, and cisplatin was similar across time-periods (pre-label change: 44.4%, 25.8%, and 29.8%; post-label change: 48%, 23.6%, 28.4%); while PD-L1 testing increased (6.6% to 28.1%). In adjusted models, there were no differences in survival in any of the groups following the FDA label change policy (table). Conclusions: The U.S. FDA label restriction on first-line immunotherapy was associated with increased PD-L1 testing but was not associated with changes in treatment patterns or improved mortality among patients with mUC.[Table: see text]