To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure firstname.lastname@example.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
This chapter highlights some important aspects of the design and analysis of clinical trials, and sketches a number of relevant statistical concepts. A controlled clinical trial of a medical intervention should have at least one primary hypothesis that drives its design. Well-designed and well-executed trials include an unambiguous protocol approved by the Institutional Review Boards (IRBs) or Ethics Committees of the participating clinics, laboratories, and data centers. The chapter also describes the basic frequentist statistical testing paradigm used by the typical randomized clinical trial with particular reference to ideas necessary in selecting sample size. Most clinical trials study more than one outcome of interest. Many neurological clinical trials compare therapies with respect to time to occurrence of the primary outcome. In the past, few clinical trials were performed in the Bayesian framework, but Bayesian methods have become more widely used recently.
The goal of a controlled clinical trial is to compare the effects of interventions on outcomes of interest. This chapter considers the methods to limit bias and random error at each stage of a clinical trial-design, conduct, analysis and interpretation of results. Many aspects of study design relate to control of bias. The one of greatest importance is the method of assignment to treatment. Study assessments that incorporate some element of subjectivity can also be centralized. Many trials rely on a central adjudication group to make outcome assessments for all subjects in a study. In most studies, the treatments are compared with regard to multiple outcomes. From sample size considerations to central pathology review, from eligibility reviews to interim monitoring plans, all methodological considerations relate in one way or other to minimizing the potential for bias and reducing random error.
This chapter discusses the broad categories of clinical investigations used in post-market drug safety assessment. It presents the three main methods of clinical post-marketing safety assessment: case reports and case series; observational epidemiological studies; and clinical trials. Active surveillance systems are also being explored to identify and examine drug safety issues. Drug safety active surveillance systems, which take advantage of large repositories of automated healthcare data, are now being developed and tested by multiple organizations. The two most common observational epidemiological study designs are the case-control design and the cohort design. The majority of clinical trials are performed primarily to assess the efficacy of a product. The design of a post-marketing clinical trial testing a safety hypothesis is often an active-controlled trial that uses a non-inferiority study design. Relative to observational epidemiological studies, clinical trials designed to answer drug safety questions are usually more costly and more time-consuming.
This chapter provides an overview of outcome measures in neurology clinical trials, including developing a conceptual endpoint model, role and use of biomarkers, and considerations on how to select, use and interpret them in the context of early-stage clinical trial design. Early stage clinical trials (phase 1-2) often employ biomarker targets for proof of concept or therapeutic validation. Therapeutic development programs can be viewed as in the learn zone and confirm zone, with confirmation occurring in the phase 3 trial designed to test clinical efficacy against a standard or placebo. Structural imaging with MRI or computed tomography (CT) has been used as both an entry criteria into clinical trials and as an outcome measure. MRI has frequently been used as a measure of treatment response of multiple sclerosis (MS) patients. Researchers should define the role each endpoint is intended to play in the clinical trial.
Scientific discovery and clinical investigation are critical for developing and evaluating new treatments and can have substantial public health benefits. A detailed analysis of clinical trials funded by the National Institute of Neurological Disorders and Stroke found that the public return on investment in clinical trials has been substantial. In addition to the inherent risks involved in clinical trials, the challenges of translating scientific advances into new therapeutic advances are increasing. Many of the challenges of drug development are particularly acute for treatments of neurological conditions. The scope of clinical trials for neurological conditions is rapidly expanding to address orphan indications, biologics, medical devices, surgeries, and comparative effectiveness studies. In addition to drugs, clinical trials frequently evaluate devices for neurological conditions. High quality data on surgical interventions, such as temporal lobe resections for epilepsy are critical to understanding their relative risks and benefits in the target populations.
Clinical trials in Parkinson's disease (PD) have focused in two major areas: treatments designed to alleviate signs and symptoms in the short run, and treatments designed to modify the long-term progression of the illness. In clinical trials of short-term improvement with early PD patients the most common primary outcome measure is the Unified Parkinson's Disease Rating Scale (UPDRS). Motoric dysfunction, loss of ambulatory capability, cognitive impairment, mood disruption, and autonomic dysfunction all eventually contribute to potentially severe disability in individuals with advanced PD. Trials are just emerging that focus on the development of overall disability in PD, rather than measuring impairments in any particular domain such as motor function or cognitive impairment. Multiple trial designs have been proposed and used in studies to assess disease modification in PD. Several particular safety concerns have emerged in the context of PD clinical trials.
Translating laboratory discoveries into successful therapeutics can be difficult. Clinical Trials in Neurology aims to improve the efficiency of clinical trials and the development of interventions in order to enhance the development of new treatments for neurologic diseases. It introduces the reader to the key concepts underpinning trials in the neurosciences. This volume tackles the challenges of developing therapies for neurologic disorders from measurement of agents in the nervous system to the progression of clinical signs and symptoms through illustrating specific study designs and their applications to different therapeutic areas. Clinical Trials in Neurology covers key issues in Phase I, II and III clinical trials, as well as post-marketing safety surveillance. Topics addressed include regulatory and implementation issues, outcome measures and common problems in drug development. Written by a multidisciplinary team, this comprehensive guide is essential reading for neurologists, psychiatrists, neurosurgeons, neuroscientists, statisticians and clinical researchers in the pharmaceutical industry.
Selection designs and futility designs offer investigators a way to screen potential therapies in early phase clinical research with fewer patients than would be required for a traditional phase 3 trial for each candidate. There are some avoidable-pitfalls when planning a futility study. The first is that if the sample size is too small, a rather awkward situation can arise. The last pitfall relates to the use of historical control data in the single-arm design. Selection procedures offer an attractive approach to the problem of screening potentially good treatments. There are many different procedures for general ranking and selection goals such as selection from among more than two treatments, selection of best subsets of treatments, and ranking treatments in order of efficacy. Although selection procedures efficiently achieve their goal of selecting best treatments, the desire to 'test something' with an accompanying statement of statistical significance seems irresistible.