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An introductory note to CHMP guidelines: choice of the non-inferiority margin and data monitoring committees.

The Committee on Medical Products for Human Use (CHMP) has recently issued two new guidance documents that are of particular note to statisticians. The purpose of this short note is to give a little background to the origins of these documents and a flavour of some of their most important features. The two guidelines are reproduced as the next two papers in the journal.

Clinical Trials Data Monitoring Committees↗

Experiences and challenges in data monitoring for clinical trials within an international tropical disease research network.

BACKGROUND: Models for the structure and procedures of data and safety monitoring boards (DSMBs) continue to evolve in response to issues of new and of old concern. Some authors have called for an open dialogue on these questions through publication of the experiences of DSMBs in addressing them. PURPOSE: The goal of this paper is to add to the current discussion about acceptable models for establishing, serving on, and reporting to monitoring committees, particularly those that oversee multiple studies in less developed countries. The paper seeks to do so by describing the establishment and subsequent operation of one such multi-trial DSMB over a five-year period. This DSMB was formed to monitor trials conducted by members of the International Centers for Tropical Disease Research (ICTDR) network of the National Institute of Allergy and Infectious Diseases (NIAID). METHODS: The operational model and experiences are summarized by the authors, who had immediate responsibilities for directing the DSMB's activities. RESULTS: The board played an active, traditional role in assuring that patient safety was maintained and that current standards for clinical research were met. In addition, both NIAID and the board members viewed education of investigators to be an important role for the board to play in this particular setting. This affected the threshold for identifying which trials would be monitored, and it impacted several procedures adopted by the board. LIMITATIONS: This report reflects the observations of those involved in managing the DSMB, including comments offered by the DSMB and by investigators, but not data gathered in a systematic way. CONCLUSIONS: The operational model described here has allowed the DSMB to fulfill its role in the oversight of the trials. We hope that the ideas we present may help others facing similar situations and may stimulate further critical thinking about DSMB structure and function.

Clinical Trials Data Monitoring Committees↗

Acceptability and profile of the clinical drug trials underway in Finnish university hospitals in the 1990s: applications reviewed by ethics committees.

There is scarce information in literature about the decisions made by ethics committees concerning the clinical studies they have reviewed. A retrospective, detailed review of 666 applications, their amendments and the ethics committees' statements was undertaken. All protrocols of clinical studies on medicinal products submitted to and reviewed by the ethics committees of two university hospitals during the years 1992, 1994, 1996 and 1998 were investigated. Most of the studies were international (50%), multicenter (71%), phase III trials (41%) on a new clinical entity, (38%). Validity of the clinical drug study applications was acceptable in more than half of the cases (364; 55%), while 91 (14%) were approved with advisory comments, 153 (23%) had to be amended, 35 (5%) were left pending and 23 (3%) were rejected. Most of the questions pertained to informed consent and the study protcol. In accordance with precious results, our findings support the opinion that the submitted documents need to be improved, especially with regard to informed consent and study protocols, in order to gain better Good Clinical Practice (GCP) compliance. Well-defined, documented operating procedures of the ethics committees would have facilitated the practical issues in the review process.

Clinical Protocols↗

The scribe of stroke trials.

The responsibility for reports about drug trials in medical journals should lie with the clinicians in the steering committee, not with the industrial sponsor. Examples of undue influence of sponsors on the conduct and analysis are the choice of surrogate outcome events, changes in the protocol during the trial, discontinuation of the study, post hoc analyses and suppression of publication. Since this essay was written, the International Committee of Medical Journal Editors ("Vancouver Group") has issued the condition that authors of submitted manuscripts should guarantee their independence in data analysis and reporting. Nevertheless, this "security check" occurs at a late stage and may not apply to journals that are less well known. Institutional Review Boards should routinely take the matter of independence into account. Also, European guidelines should be rewritten to reflect these fundamental issues rather than a multitude of details. In fact not sponsors or physicians but patients and the general public are the true owners of trial data.

Clinical Trials Data Monitoring Committees↗

[Assessment of SUSARs. Clinical evaluation of single cases in terms of regulatory requirements].

In the course of implementing the European directives on pharmaceutical law, focus is set on suspected unexpected serious adverse reactions (SUSARs). SUSARs are essential for expedited reporting to authorities and ethics committees. During on-line monitoring of the study, the investigator documents all adverse events. Serious adverse events are forwarded to the sponsor in due time. The sponsor identifies SUSARs for expedited reporting. Clinical causality assessment between the investigational product and the adverse event is substantial in this process. This requires a balanced clinical assessment of all case relevant aspects and information available reflecting the complexity of the specific case, which cannot be covered by algorithms in general. In the setting of on-line monitoring, SUSARs ensure the safety of the patient and the study. In addition, SUSARs are relevant for generation of the safety profile of the substance.

Algorithms↗

Treatment effects monitoring committees and early stopping in large clinical trials.

BACKGROUND: Treatment effects monitoring is a process carried out over the course of a trial to determine whether it should continue unaltered. The purpose of monitoring is to protect persons enrolled from harm, caused either by exposure to an ineffective or harmful treatment or failure to provide a better treatment. The aim of this paper is to characterize treatment effects monitoring committees (TEMCs) as extant in published trials and to examine the effect of their presence on the premature stopping of a trial. METHODS: Trials published in 1990-1995 in the Annals of Internal Medicine, Archives of Internal Medicine, British Medical Journal, Journal of the American Medical Association, Lancet, New England Journal of Medicine or Controlled Clinical Trials were identified via MEDLINE (4279 publications). Abstracts were screened to include only trials with parallel treatment designs and sample sizes of > or = 200, reducing the set to 661 papers. Those papers were then read, reducing the set to 562 after exclusion of papers not reporting trial results. The results that follow come from a review of these 562 published papers and from the responses to two questionnaires. The first was mailed to the corresponding author, and the second to the chair of the monitoring body or other contact as provided by the author in response to the first questionnaire. RESULTS: Less than half (48%) of the 562 trials had TEMCs. Factors having a positive univariate relationship with the presence of a TEMC include National Institutes of Health (NIH) sponsorship, larger sample size, multicentered, longer data collection and follow-up, and mortality as an outcome. Most of the early stops occurred in trials with TEMCs (66 out of 78). The odds ratios for early stopping for trials with TEMCs versus those without TEMCs was 4.4 (CI: 2.3-8.5). CONCLUSIONS: The evidence suggests that early stopping is associated with the presence of a TEMC, but a substantial number of trial reports do not mention the presence of a TEMC even when one was used to stop a trial early.

Clinical Trials Data Monitoring Committees↗

Ethics committee reviews and mutual acceptance: a pilot study.

AIMS: To develop a human research ethics committee (HREC) mutual acceptance (MA) model, based on the National Health and Medical Research Council's guidelines. The MA model aims to facilitate aspects of multicentre research and decrease the time taken to finalise the HREC review process. METHODS: Four HREC (The Alfred Hospital, Austin Health, Peter MacCallum Cancer Centre and Melbourne Health) agreed to participate in a 13-month pilot project to evaluate the MA model. Evaluation included times from submission to approval and stakeholder surveys. RESULTS: Seventeen consecutive studies were submitted to the MA pilot project. Stakeholders agreed that the MA model was efficient and effective and that submission and review processes had improved, with a demonstrable reduction in the levels of duplication. There was a 27% improvement in approval times for multicentre studies. CONCLUSIONS: Our (MA) model resulted in clear improvements in HREC processes and timelines. Stakeholder acceptance was high. This model provides a framework for a broader program of MA.

Australia↗

The role of the unblinded sponsor statistician.

In clinical trials sponsored by Merck the unblinded statistician is typically an employee of the company. From a pharmaceutical industry perspective, advantages of this approach include ensuring that the unblinded statistician is knowledgeable regarding the experimental treatments, therapeutic area and study objectives; that the quality of the analysis conforms to rigorous standards; and that the allocation schedule, database and interim results are kept confidential. These advantages are felt to outweigh any potential disadvantages.

Clinical Trials Data Monitoring Committees↗

Information-based monitoring of clinical trials.

When designing a clinical trial to compare the effect of different treatments on response, a key issue facing the statistician is to determine how large a study is necessary to detect a clinically important difference with sufficient power. This is the case whether the study will be analysed only once (single-analysis) or whether it will be monitored periodically with the possibility of early stopping (group-sequential). Standard sample size calculations are based on both the magnitude of difference that is considered clinically important as well as values for the nuisance parameters in the statistical model. For planning purposes, best guesses are made for the value of the nuisance parameters and these are used to determine the sample size. However, if these guesses are incorrect this will affect the subsequent power to detect the clinically important difference. It is argued in this paper that statistical precision is directly related to Statistical Information and that the study should continue until the requisite statistical information is obtained. This is referred to as information-based design and analysis of clinical trials. We also argue that this type of methodology is best suited with group-sequential trials which monitor the data periodically and allow for estimation of the statistical information as the study progresses.

Clinical Trials Data Monitoring Committees↗

Data and safety monitoring in clinical research: a National Institute of Neurologic Disorders and Stroke perspective.

The National Institute of Neurologic Disorders and Stroke supports a broad spectrum of research in the diagnosis and treatment of neurologic disease. Emergency medicine is increasingly involved in clinical research for patients with neurologic emergencies. Independent data and safety monitoring are critical components of clinical trials to ensure the protection of patients and the scientific integrity of the research. We review National Institute of Neurologic Disorders and Stroke principles of data and safety monitoring and provide examples to illustrate key concepts.

Black or African American↗

The organization of the Asthma Clinical Research Network: a multicenter, multiprotocol clinical trials team.

Asthma is an increasingly serious cause of morbidity and mortality in the United States, affecting approximately 12 million people, including men and women, children and adults, and all racial and ethnic groups. It is now recognized that asthma is a complex disease of varied etiology triggered by a number of factors such as allergens, drugs, chemicals, exercise, cold dry air, infections, and emotions. Asthma is a chronic disease requiring multiple medications to treat and control symptoms as well as medications thought to control the underlying inflammation. Despite major advances in understanding the etiology and pathophysiology of asthma and the development of new therapeutic modalities, the prevalence, severity, and mortality from asthma have all increased over the past decades in all age groups. Hospitalizations for asthma have doubled in adults and increased fivefold for children over the past 20 years. Mortality appears to be particularly high in urban and rural minority populations. Asthma continues to place a heavy burden on patients and their families as well as the health-care system. In an attempt to respond to the need for well-designed clinical trials to allow rapid evaluation of new and existing therapeutic approaches for asthma and for dissemination of laboratory and clinical findings to the health-care community, the Division of Lung Diseases, National Heart, Lung, and Blood Institute, established the Asthma Clinical Research Network.

Adult↗