Community Equipoise and the Architecture of Clinical Research

1997 ◽  
Vol 6 (4) ◽  
pp. 385-396 ◽  
Author(s):  
Jason H. T. Karlawish ◽  
John Lantos

Equipoise is an essential condition to justify a clinical trial. The term, describes a state of uncertainty: the data suggest but do not prove a drug's safety and efficacy The only way to resolve this uncertainty is further study In many cases, a clinical trial seems to be the most efficient way to prove safety and efficacy Equipoise is therefore not an esoteric philosophic construct applied to research ethics. Rather, since it is vital for the justification of clinical trials, it is part of how society regulates medical progress. Where there is equipoise, drug design and development proceeds according to Food and Drug Administration (FDA) and Health and Human Services (HHS) regulations. When that equipoise ends, a drug is either not approved or becomes standard care.

2019 ◽  
Author(s):  
Allison Hirsch ◽  
Mahip Grewal ◽  
Anthony James Martorell ◽  
Brian Michael Iacoviello

BACKGROUND Digital Therapeutics (DTx) provide evidence based therapeutic health interventions that have been clinically validated to deliver therapeutic outcomes, such that the software is the treatment. Digital methodologies are increasingly adopted to conduct clinical trials due to advantages they provide including increases in efficiency and decreases in trial costs. Digital therapeutics are digital by design and can leverage the potential of digital and remote clinical trial methods. OBJECTIVE The principal purpose of this scoping review is to review the literature to determine whether digital technologies are being used in DTx clinical research, which type are being used and whether publications are noting any advantages to their use. As DTx development is an emerging field there are likely gaps in the knowledge base regarding DTx and clinical trials, and the purpose of this review is to illuminate those gaps. A secondary purpose is to consider questions which emerged during the review process including whether fully remote digital clinical research is appropriate for all health conditions and whether digital clinical trial methods are inline with the principles of Good Clinical Practice. METHODS 1,326 records were identified by searching research databases and 1,227 reviewed at the full-article level in order to determine if they were appropriate for inclusion. Confirmation of clinical trial status, use of digital clinical research methods and digital therapeutic status as well as inclusion and exclusion criteria were applied in order to determine relevant articles. Digital methods employed in DTx research were extracted from each article and these data were synthesized in order to determine which digital methods are currently used in clinical trial research. RESULTS After applying our criteria for scoping review inclusion, 11 articles were identified. All articles used at least one form of digital clinical research methodology enabling an element of remote research. The most commonly used digital methods are those related to recruitment, enrollment and the assessment of outcomes. A small number of articles reported using other methods such as online compensation (n = 3), or digital reminders for participants (n = 5). The majority of digital therapeutics clinical research using digital methods is conducted in the United States and increasing number of articles using digital methods are published each year. CONCLUSIONS Digital methods are used in clinical trial research evaluating DTx, though not frequently as evidenced by the low proportion of articles included in this review. Fully remote clinical trial research is not yet the standard, more frequently authors are using partially remote methods. Additionally, there is tremendous variability in the level of detail describing digital methods within the literature. As digital technologies continue to advance and the clinical research DTx literature matures, digital methods which facilitate remote research may be used more frequently.


2021 ◽  
Vol 12 (02) ◽  
pp. 293-300
Author(s):  
Kevin S. Naceanceno ◽  
Stacey L. House ◽  
Phillip V. Asaro

Abstract Background Clinical trials performed in our emergency department at Barnes-Jewish Hospital utilize a centralized infrastructure for alerting, screening, and enrollment with rule-based alerts sent to clinical research coordinators. Previously, all alerts were delivered as text messages via dedicated cellular phones. As the number of ongoing clinical trials increased, the volume of alerts grew to an unmanageable level. Therefore, we have changed our primary notification delivery method to study-specific, shared-task worklists integrated with our pre-existing web-based screening documentation system. Objective To evaluate the effects on screening and recruitment workflow of replacing text-message delivery of clinical trial alerts with study-specific shared-task worklists in a high-volume academic emergency department supporting multiple concurrent clinical trials. Methods We analyzed retrospective data on alerting, screening, and enrollment for 10 active clinical trials pre- and postimplementation of shared-task worklists. Results Notifications signaling the presence of potentially eligible subjects for clinical trials were more likely to result in a screen (p < 0.001) with the implementation of shared-task worklists compared with notifications delivered as text messages for 8/10 clinical trials. The change in workflow did not alter the likelihood of a notification resulting in an enrollment (p = 0.473). The Director of Research reported a substantial reduction in the amount of time spent redirecting clinical research coordinator screening activities. Conclusion Shared-task worklists, with the functionalities we have described, offer a viable alternative to delivery of clinical trial alerts via text message directly to clinical research coordinators recruiting for multiple concurrent clinical trials in a high-volume academic emergency department.


BMJ Open ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. e052953
Author(s):  
Timothy Peter Clark ◽  
Brennan C Kahan ◽  
Alan Phillips ◽  
Ian White ◽  
James R Carpenter

Precise specification of the research question and associated treatment effect of interest is essential in clinical research, yet recent work shows that they are often incompletely specified. The ICH E9 (R1) Addendum on Estimands and Sensitivity Analysis in Clinical Trials introduces a framework that supports researchers in precisely and transparently specifying the treatment effect they aim to estimate in their clinical trial. In this paper, we present practical examples to demonstrate to all researchers involved in clinical trials how estimands can help them to specify the research question, lead to a better understanding of the treatment effect to be estimated and hence increase the probability of success of the trial.


JMS SKIMS ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 5-17
Author(s):  
Haroon Rashid

Clinical trials are the only way of establishing the safety and efficacy of any new drug before its introduction in the market for human use. Clinical trials (with safeguards) are necessary for introduction of new drugs for a country like India, considering its disease burden and emergence of new variants of disease.The regulatory bodies need to frame guidelines and regulatory approval processes on a par with international standards. Many of the new laws, guidance documents, notifications and initiatives for regulating pharmaceutical industry were in the charts for quite a long time. Indian regulatory authorities have started looking into speedy implementation and providing support in terms ofnecessary infrastructure and investment. JMS 2017; 20(1):5-17


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 5-6
Author(s):  
Israr Khan ◽  
Abdul Rafae ◽  
Anum Javaid ◽  
Zahoor Ahmed ◽  
Haifza Abeera Qadeer ◽  
...  

Background: Multiple myeloma (MM) is a plasma cell disorder and demonstrates overexpression of B cell maturation antigen (BCMA). Our objective is to evaluate the safety and efficacy of chimeric antigen receptor T cells (CAR-T) against BCMA in patients with relapsed/refractory multiple myeloma (RRMM). Methods: We conducted a systematic literature search using PubMed, Cochrane, Clinicaltrials.gov, and Embase databases. We also searched for data from society meetings. A total of 935 articles were identified, and 610 were screened for relevance. Results: Data from thirty-one original studies with a total of 871 patients (pts) were included based on defined eligibility criteria, see Table 1. Hu et al. reported an overall response rate (ORR) of 100% in 33 pts treated with BCMA CAR-T cells including 21 complete response (CR), 7 very good partial response (VGPR), 4 partial response (PR). Moreover, 32 pts achieved minimal residual disease (MRD) negative status. Chen et al. reported ORR of 88%, 14% CR, 6% VGPR, and 82% MRD negative status with BCMA CAR-T therapy in 17 RRMM pts. In another clinical trial by Han et al. BCMA CAR-T therapy demonstrated an ORR of 100% among 7 evaluable pts with 43% pts having ≥ CR and 14% VGPR. An ORR of 100% with 64% stringent CR (sCR) and 36% VGPR was reported with novel anti-BCMA CART cells (CT103A). Similarly, Li et al. reported ORR of 87.5%, sCR of 50%, VGPR 12.5%, and PR 25% in 16 pts. BCMA targeting agent, JNJ-4528, showed ORR of 91%, including 4sCR, 2CR, 10MRD, and 7VGPR. CAR-T- bb2121 demonstrated ORR of 85%, sCR 36%, CR 9%, VGPR 57%, and MRD negativity of 100% (among 16 responsive pts). GSK2857916, a BCMA targeting CAR-T cells yielded ORR of 60% in both clinical trials. Three studies utilizing bispecific CART cells targeting both BCMA & CD38 (LCARB38M) reported by Zhao et al., Wang et al., and Fan et al. showed ORR of 88%, 88%, & 100% respectively. Topp et al. reported ORR of 31% along with 5 ≥CR and 5 MRD negative status in 42 pts treated with Bi T-cells Engager BiTE® Ab BCMA targeting antigen (AMG420). One clinical trial presented AUTO2 CART cells therapy against BCMA with an ORR of 43%, VGPR of 14%, and PR of 28%. CT053CAR-BCMA showed 14sCR and 5CR with a collective ORR of 87.5% and MRD negative status of 85% in 24 and 20 evaluable pts, respectively. Likewise, Mikkilineni et al. reported an ORR of 83%, sCR of 16.7%, and VGPR & PR of 25% and 41% in 12 pts treated with FHVH-BCMA T cells. Similar results are also reported in other clinical trials of BCMA targeting CART therapy (Table 1). The most common adverse effects exhibited were grade 1-3 hematologic (cytopenia) and cytokine release syndrome (CRS) (mostly reversible with tocilizumab). Conclusion: Initial data from ongoing clinical trials using BCMA targeting CAR-T therapy have yielded promising results both in terms of improved outcome and tolerable toxicity profiles. Although two phase 3 trails are ongoing, additional data is warranted to further ensure the safety and efficacy of anti-BCMA CAR-T cells therapy in pts with RRMM for future use. Disclosures Anwer: Incyte, Seattle Genetics, Acetylon Pharmaceuticals, AbbVie Pharma, Astellas Pharma, Celegene, Millennium Pharmaceuticals.: Honoraria, Research Funding, Speakers Bureau.


2020 ◽  
Author(s):  
Liran Chen ◽  
Zhimin Chen ◽  
Huafang Chen

Abstract Objective: The changes of absolute value and relative value of clinical research coordinator service fee and its influence on the quality of drug clinical trial were analyzed.Methods: This study compared the amount and structural changes of drug clinical trial costs in before 3 years and after 3 years of self-examination and inspection initiated by the China Food and Drug Administration, identified the increase number and composition of each individual cost of a clinical trial research funds which including clinical research coordinator service fee, investigator labor fee, subjects examination fee, subjects traffic subsidy, documents management fee, drug management fee, etc.Result: The most significant appearance and increase in volume and proportion were the clinical research coordinator service fee. From the initial few to the global multicenter tumor drug clinical trials RMB31,624 or 34.92% of the proportion and domestic multicenter tumor drug clinical trials RMB16,500,accounted for 33.74%.Discussion: It has become common for more money to be spent on clinical trials to be accompanied by improved quality, but the occurrence and continuous increase of clinical research coordinator service fee were divided into two aspects, On the one hand, the quality of clinical trials was promoted by the large amount of low-skill trivial work undertaken by clinical research coordinator; on the other hand, the quality of clinical trials was undermined by the fact that clinical research coordinator did too much treatment evaluation work that should have been done by the investigator.


2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 315-315
Author(s):  
Thomas E. Hutson ◽  
Bradley Curtis Carthon ◽  
Jeffrey Yorio ◽  
Sunil Babu ◽  
Heidi Ann McKean ◽  
...  

315 Background: Combination therapy with nivolumab + ipilimumab (NIVO+IPI) has demonstrated long-term efficacy and tolerability for patients (pts) with previously untreated advanced renal cell carcinoma (aRCC). Most pivotal clinical trials in pts with aRCC have excluded pts with low Karnofsky performance status (KPS; < 70%). CheckMate 920 is a multi-arm, phase IIIb/IV, open-label clinical trial of NIVO+IPI treatment in pts enrolled in a community practice setting with aRCC and a high unmet medical need. We present safety and efficacy results for the cohort of pts with aRCC of any histology and KPS 50%–60% from CheckMate 920 (NCT02982954). Methods: Pts with previously untreated advanced/metastatic RCC and KPS 50%–60% received NIVO 3 mg/kg + IPI 1 mg/kg Q3W × 4 doses followed by 480 mg NIVO Q4W for ≤ 2 years or until disease progression/unacceptable toxicity. The primary endpoint was incidence of grade ≥ 3 immune-mediated adverse events (imAEs) within 100 days of last dose of study drug. Key secondary endpoints included progression-free survival (PFS) and objective response rate (ORR) by RECIST v1.1 (both per investigator). Exploratory endpoints included overall survival (OS). Results: Of 25 treated pts with KPS 50%–60%, 76% were men; median age was 67 years (range, 34–81). IMDC risk was favorable in 0%, intermediate in 32%, and poor in 68% of pts; 84% had clear cell and 16% had non-clear cell RCC histology. With a minimum follow-up of 25 months, median duration of therapy (95% CI) was 2.3 months (2.1–7.7) for NIVO and 2.1 months (2.1–2.1) for IPI. The median number of doses (range) received was 4 (1–27) for NIVO and 4 (1–4) for IPI; 76% of pts received ≥ 4 NIVO doses and 68% received all 4 IPI doses. The only grade 3–4 imAEs by category were hepatitis (4.0%) and adrenal insufficiency (4.0%). No grade 5 imAEs occurred. Overall, 4 (16%) pts discontinued due to any-grade adverse events (n = 1 each for elevated AST, malignant neoplasm progression, back pain, and acetabulum fracture). Of 18 evaluable pts, ORR was 33.3% (95% CI, 13.3–59.0); no pts had a complete response and 6 had partial response. Median time to objective response was 4.5 months (range, 2.5–24.7). Median duration of objective response was 20.6 months (range, 0.03+–24.2+). Median PFS was 4.6 months (95% CI, 2.5–14.8). Median OS was 15.6 months (95% CI, 5.3–25.1). Conclusions: NIVO+IPI demonstrated an acceptable safety profile and promising antitumor activity in pts with previously untreated aRCC and KPS 50%–60%. The combination was tolerated at a dose intensity similar to that observed in clinical trials conducted in pts with higher KPS (≥ 70%). These data support the value of NIVO+IPI in pts who may not be considered ideal candidates for this therapy and consequently may have limited treatment options. Clinical trial information: NCT02982954 .


Author(s):  
Saliha Akhtar

Research has shown that clinical research continues to have difficulty recruiting participants. This problem is expected to increase as the number of clinical trials increases and as there continues to be more focus on complex diseases and treatments. Researchers have typically relied on traditional recruitment methods to recruit participants, which revolve around the physicians and their support staff having the primary role to locate and recruit these participants. However, with individuals using online platforms such as social media to retrieve information, this creates an opportunity for research site personnel to use it as a way to relay information on clinical trial opportunities. Studies that have used social media as a way to recruit participants are discussed. Furthermore, pros and cons of social media for recruitment, along with recommendations that future researchers should consider when deciding whether to implement this type of strategy in their clinical trials will be shared. In general, clinical trial recruitment strategies need to shift to an approach that is not only more targeted, but also has a larger reach. By evaluating the success of studies that have used social recruitment strategies so far, it is evident that future researchers can also achieve recruitment success through social media. Moreover, social media could be a promising new avenue for clinical trial recruitment that allows for a more positive experience for both investigative site personnel and potential participants.


Author(s):  
David E. Koren

Upon completion of this chapter, the reader should be able to • Describe the classes of antiretroviral (ARV) medications and the factors influencing treatment dosing. • Understand the US Department of Health and Human Services panel’s recommended initial HIV treatments and relevant clinical trials. •...


Cancers ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 677 ◽  
Author(s):  
Alice Usai ◽  
Gregorio Di Franco ◽  
Patrizia Colucci ◽  
Luca Emanuele Pollina ◽  
Enrico Vasile ◽  
...  

Animal “avatars” and co-clinical trials are being developed for possible use in personalized medicine in oncology. In a co-clinical trial, the cancer cells of the patient’s tumor are xenotransplanted into the animal avatar for drug efficacy studies, and the data collected in the animal trial are used to plan the best drug treatment in the patient trial. Zebrafish have recently been proposed for implementing avatar models, however the lack of a general criterion for the chemotherapy dose conversion from humans to fish is a limitation in terms of conducting co-clinical trials. Here, we validate a simple, reliant and cost-effective avatar model based on the use of zebrafish embryos. By crossing data from safety and efficacy studies, we found a basic formula for estimating the equivalent dose for use in co-clinical trials which we validated in a clinical study enrolling 24 adult patients with solid cancers (XenoZ, NCT03668418).


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