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(Stroke. 2001;32:1598.)
© 2001 American Heart Association, Inc.
Original Contributions |
Correspondence and reprint requests to Marc Fisher, MD, UMass/Memorial Health Care, 119 Belmont St, Worcester, MA 01605. E-mail fisherm{at}ummhc.org
| Abstract |
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Key Words: clinical trials stroke, acute therapy
| Introduction |
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The Stroke Therapy Academic Industry Roundtable (STAIR) met previously to discuss the preclinical issues for the optimal development of new acute stroke therapies. This group made a series of specific recommendations about performing preclinical assessments of potential stroke therapies that would support recommendations for introducing novel of new therapies into man for the treatment of acute stroke.4 The group reconvened to discuss various aspects of the design of clinical trials for promising new acute stroke drugs, focusing on the design of both initial and pivotal clinical trials of single and combination therapies for acute ischemic stroke.
| Importance of Phase I/II Trials in Acute Stroke |
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All phase III trials of neuroprotective agents for acute
stroke and many of the
thrombolytic/recanalization studies
conducted thus far have been negative with regard to the primary
outcome measure. Methodological flaws in the phase I and phase II
trials on which these were based and suboptimal design or execution may
have contributed to the negative results. The logical extension of
these arguments is that a definitive statement regarding lack of
efficacy for some of these agents is, therefore, not possible. Did the
trial not succeed because the study was not sufficiently powered or the
therapeutic window was not adequately defined so that a drug effect
could be detected with a reliable degree of certainty? Or did the trial
not succeed because the drug does not work in man? The
parameters listed in
Table 1
should be considered and addressed in phase I
and II studies in order to proceed to phase III. Although the phase I
and II portions of a drug development program may not be able to
adequately address all of these issues, as much information as possible
should be obtained before proceeding to phase III. Clinical
inclusion/exclusion criteria should be selected with the expectation
that patients treated in phase II will be similar to those enrolled in
phase III. Examples of such criteria should include time to treatment,
the age range of patients to be studied, minimal/maximal ranges of
neurological deficit severity, stroke subtype, and concomitant
medications. Placebo-controlled, blinded, randomized trials are
necessary, even at this early stage.
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| End Points in Phase IIb Studies |
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Study end points should be easy to measure, reproducible, valid, clinically meaningful, and resistant to bias.9 They should also detect clinically relevant differences with the smallest possible sample size. This is problematic for phase II studies in which the power of an end point to detect a treatment effect may be limited.
End points for phase II trials can be selected on the basis of previously positive studies, such as the NINDS rt-PA Stroke Trial. Unfortunately, there are no positive neuroprotective trials to provide such vital information. Positive data for neuroprotection has primarily come from animal model studies, in which the usual outcome measure is infarct size in the middle cerebral artery (MCA) territory, commonly evaluated within 1 week after the onset of experimental ischemia.10 It would be advantageous to have information about the natural history of placebo-treated patients, and this information should be available through pooling of control data derived from previous clinical trials of similar patients. These data could be made available through a common, industry-supported database. Caveats about the pooling and use of such data are, however, warranted, because many variables that may affect outcome are likely to also play a role in the placebo response rates, eg, time window, clinical characteristics, or stroke severity.
| Measurements of Drug Activity |
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One way to identify sensitive end points for acute stroke therapy trials is to explore existing databases derived from prior studies. This approach was recently employed with the NINDS rt-PA Stroke Trial database using Classification and Regression Tree (CART) methodology.13 This method attempts to select measure(s), either clinical or radiographic, that best separate 2 treatment groups. A list of the most sensitive end points from Part A of the NINDS trial was then tested in Part B of the trial to determine which would require the fewest number of patients to detect significant differences. This approach may be most applicable to future recanalization studies in which therapy is initiated within 3 hours from onset. The selected measures may or may not be applicable to recanalization studies with interventions at later time points and, similarly, may or may not be applicable to neuroprotective trials. Another approach to selecting a trial end point measure would be to use a global outcome that incorporates several accepted and validated scales. This approach was used in Part B of the NINDS rt-PA Stroke Trial but was in part based on positive findings in Part A. It may be possible to combine the methodology of CART and the global outcome approach to develop end points with the greatest sensitivity for phase IIb trials, although this remains speculative.
| Types of End Points |
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In addition to measurements of impairment (body dimension), measures reflecting disability (activities dimension) and handicap (participation dimension) should always be included in phase II and phase III trials, even if they are not the primary outcome measures. Scales such as the Barthel Index, Rankin scale, and Stroke Impact Scale reflect these other levels of functioning. Experience gained in the use of these scales in early clinical development and the data obtained can then be used to estimate with greater precision sample sizes that may have a greater possibility to detect a drug effect in a phase III trial.
In vivo evaluation of ischemic damage or activity can be assessed by determining the extent of cytotoxic edema by diffusion-weighted MRI (DW-MRI) in relation to extent of hypoperfusion on perfusion-weighted MRI (PW-MRI) or by infarct size on delayed CT scan.14 The comparison of DW- and PW-MRI images may help select patients who might benefit from treatment by providing a radiographic index of the extent of the penumbra, currently inferred on the basis of the amount of time elapsed from the onset of stroke symptoms. Additionally, the evolution of ischemic lesion volume on DW-MRI at baseline to T2 lesion volume on days 30 to 90 may provide a measure of drug effect in a relatively small sample size.14 This concept is being explored but has not yet proved to be a superior tool for the selection of patients for inclusion and evaluation in stroke trials.15
The change in infarct size from a baseline CT or MRI is likely to be a better approach than measuring the final differences in infarct volume between treatment groups. Obtaining a baseline CT volume early after an acute stroke is difficult and thus limits this approach; DW-MRI overcomes this limitation and thus offers the possibility of determining a change in volume from baseline. Another limitation of this approach is that previous studies suggest there may be only moderate correlations between imaging end points and functional outcome. For example, the NINDS rt-PA trial demonstrated that the relationship between CT volume of infarction and clinical outcome was weak.12 The most convincing surrogate outcome measure in multiple sclerosis (MS) drug trials has been MRI-measured plaque volume.16 MS involves small multiple white matter lesions in scattered locations rather than a local critical mass of acute brain injury (often gray and white matter) causing stroke-related symptoms in stroke. The correlation coefficients relating lesion volume with disability measures in MS were only 0.23 to 0.33 versus 0.31 to 0.54 in acute stroke.17
Other markers of ischemic injury may be plasma levels of various substances released into the circulation from injured brain, including neuron-specific enolase, S-100, and thrombomodulin, among others. For thrombolytic therapy or mechanical recanalization, ultrasound or angiographic findings with contrast angiography, MR angiography, or CT angiography may provide surrogate markers of in vivo drug activity by measuring rates of recanalization.
| Concept of Surrogate Measures |
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PROACT-I provides a good example of how a surrogate outcome might be employed in a phase IIb trial.18 In this study, recanalization of the M1 and M2 segments of the MCA at 2 hours after initiation of treatment was the primary end point. The use of a radiographic marker for recanalization is a surrogate for clinical outcome, because opening of an occluded blood vessel may ultimately correlate with an improved clinical outcome, as was demonstrated in PROACT-II.2 The use of this surrogate also demonstrates a potential problem with surrogates in that recanalization rates at delayed time periods may not correlate with a favorable clinical outcome. The use of surrogate markers of drug activity could also be considered in neuroprotection trials, for example, concentrating on the changes in the radiographic extent of ischemic injury.
| Duration of Follow-Up |
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| Publication |
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| Phase III Clinical Trials |
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A number of important decisions must be made when
considering how to best design, organize, and perform a phase III acute
stroke trial. These considerations are presented in
Table 2
. Importantly, the design of a phase III trial
should take into account the mechanism of action for the drug being
studied. For example, it is becoming apparent that the mechanisms
associated with the development of ischemic injury in white
matter are distinct from those associated with gray matter
insult.22 If a
neuroprotective drug does not have a protective effect on white matter
ischemic injury, then patients with small-vessel, subcortical
strokes that are primarily confined to the white matter are not likely
to benefit. The phase III trial for this drug should exclude patients
with subcortical strokes who can be identified by clinical criteria,
brain imaging, or both.23
For thrombolytic trials, drugs designed to restore
circulation in medium to large cerebral vessels or the microcirculation
are less likely to be of benefit if blood flow has already been
restored. Therefore, vascular imaging techniques such as xenon-enhanced
CT, perfusion CT, CT angiography, single-photon emission CT, and
perfusion MRI/MR angiography may be useful to identify patients with
compromised microcerebral or macrocerebral blood flow in future
thrombolytic
trials.24 25
Ultrasound techniques may be useful for identification of
patients with medium- or large-vessel obstruction in a clinical
trial.26
|
The time window chosen for patient enrollment and the dose(s) to be given are key elements in trial design for phase III. The time window for patient enrollment should reflect data from preclinical models and experience from the phase II trial(s). It has been hypothesized that it is difficult to extrapolate the observed time window for drug effects from animal stroke models to stroke patients. However, if the drug to be studied in a phase III trial reduces infarct size only shortly after stroke onset in permanent occlusion rat models, only a restricted time window should be considered for a human trial. If there are additional positive data using a longer time window in nonhuman primates, this would also be reassuring that a longer time window might be appropriate for a phase III trial. If in the phase II trial there is suggestive evidence of clinical or imaging benefit within a selected time window for initiating therapy, then selecting a similar time window for phase III is supported. As a general rule, a phase III trial should be designed so as to choose a time window that enrolls patients as soon as possible after stroke onset to maximize the chances for detecting a treatment benefit.27 If the drug is shown to have clinical benefit in a phase III trial with a short window, it would be ethical and clinically meaningful that subsequent studies could be done to determine whether a more delayed time window in appropriately selected patients is efficacious. Once the time window for enrollment has been chosen, investigators should be strongly encouraged to enroll patients as quickly as possible after stroke onset. One mechanism to assure that a more even distribution occurs over the allotted time window is to employ forced stratification of enrollment by time. This approach was successfully used in the NINDS rt-PA Stroke Trial and is an optimal model for use in other trials attempting to balance randomization within an allowed window of treatment time. Irrespective of drug mechanism of action, it is highly likely that the earlier the initiation of therapy the more likely that clinical improvement will occur. Incentives to investigators can be considered to enhance early enrollment, or the trial can be designed with stratification by time of enrollment.
As with time window considerations, the dose(s) of drug to be used in a phase III should reflect data concerning the tolerability, safety, and efficacy of the agent in preclinical and preliminary human studies. Ideally, the dose(s) to be tested should achieve plasma and central nervous system levels in animals that are within the predicted levels of efficacy and are shown to have a tolerable safety profile in phase I and II studies. Consideration should be given to studying >1 dose in the phase III trial to help define a dose-response relationship and to possibly identify a minimally effective dose.
Another important consideration is selection of an appropriate patient population for phase III trials. A lower age limit of 18 years is commonly used but may be reconsidered in light of the drugs mechanism of action. The upper age limit can be determined on the basis of data concerning tolerability, pharmacokinetic handling, and metabolism of the drug. Adequate numbers of patients of both sexes should be enrolled. A vital consideration is the range of baseline stroke severity to be included in the trial. Recent trial results demonstrate that patients with very mild baseline deficits (eg, National Institutes of Health Stroke Scale (NIHSS) scores of <6 to 7) have a high rate of spontaneous improvement to normal or near normal by 90 days.28 29 Additionally, severely affected patients with NIHSS scores >20 to 22 had a very low rate of full recovery when treated within the 3-hour time window used in the NINDS rt-PA Stroke Trial, although these patients still had a better outcome than patients treated with placebo.11 Patients with severe baseline deficits may become functionally independent if treated with an acute therapy but are unlikely to have a full recovery. Including stroke patients with very mild or very severe stroke will likely make detection of treatment effects difficult, because the mildly affected patients will likely have a large placebo response rate and the severely affected patients may have only a small therapeutic effect. Therefore, the likelihood of detecting a clinical benefit would be increased if study enrollment is limited to patients with moderate baseline deficits (NIHSS scores between 7 and 22).
Stroke subtypes may also be an important consideration, depending on the interventions mechanism of action. For example, as discussed previously, if the mechanism of action of the drug to be studied precludes white matter effects, then patients with-small vessel, subcortical white matter strokes should be excluded by clinical and/or imaging criteria. Patients with brain stem strokes may be difficult to assess by the commonly used impairment scales, as these were designed primarily for use in the setting of hemispheric strokes. Patients with primary intracerebral hemorrhage should usually be excluded or removed a priori from the intention to treat analysis unless there is reason to believe that the intervention would be both safe and efficacious in this group. Covariate analyses should be specified a priori for important variables such as baseline severity; age; concomitant use of rtPA; use of heparin; development and management of medical complications such as fever, hyperglycemia, blood pressure management, or electrolyte disturbance; poststroke antithrombotic therapy; concomitant drug use; and the intensity of poststroke rehabilitation. Standardized management of likely side effects of the study medication should be included in the study design.
Choosing the most appropriate end point and when it should be measured are vital issues for phase III trial design. In prior trials, measures of impairment, disability, and handicap have been used. All 3 types of end points have advantages and disadvantages. Choosing how to define a positive outcome with a particular rating scale can also be difficult. For example, with the modified Rankin scale (a global disability measure), the difference between a score of 1 versus 2 may be subtle, (ie, no significant disability versus slight disability).30 In the ECASS-II trial,8 the primary outcome measure was the proportion of patients who achieved a modified Rankin scale score of 0 to 1 at 90 days. The difference between the rtPA- and placebo-treated patients was not significant. However, a post hoc analysis that used a modified Rankin score of 0 to 2 as the definition of a successful outcome demonstrated a significant difference in favor of the rtPA group. Thrombolysis administered later after stroke onset may, therefore, be less likely to return patients to normal or near-normal function but still may reduce death or dependency. The GAIN trials31 of a glycine antagonist used a trichotomy analysis, which avoids some limitations associated with selecting a single division of a functional outcome scale (ie, the Barthel Index).
As discussed, one potential way of avoiding reliance on a single outcome measure is to use the global statistic approach.32 With the global statistic, simultaneous testing of treatment effects on multiple, predefined outcome measures is performed. This type of analysis was used in the second part of the NINDS rt-PA trial and evaluated treatment effects on 4 outcome measures: the modified Rankin scale, the Barthel Index, the Glasgow Outcome Scale, and the NIHSS.1 Although each individual outcome measure demonstrated a significant difference, the global test showed the most robust treatment difference between rtPA and placebo patients. In addition to clinical scoring scales, imaging end points could be included among the outcome measures used in the global test. In future phase III stroke therapy trials, careful consideration should be given to using the global test as the primary outcome measure with individual decisions about what specific outcome measures should be included for the drug to be used in the trial.
Currently, 90 days after stroke onset is typically used as the primary end point to measure outcome. Choosing an earlier time for evaluating the primary end point of the trial may help to avoid confounding effects unrelated to the study drug, such as late medical complications, recurrent stroke, or imbalances in the use of prolonged rehabilitation services and other interventions that might alter the long-term outcome of stroke. Follow-up studies can be performed to evaluate late treatment effects. For drugs that primarily have restorative effects after acute stroke, a 90-day end point may be insufficient and a more delayed time point more appropriate.
| Combination Therapy Trials |
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It can be difficult to predict the combined efficacy and toxicity of drugs given in combination. A variety of preclinical study designs could be used to address the problem. The most rigorous, but also the most costly and labor intensive, would be to vary the dose of each drug in combination (ie, each dose of drug 1 would be given with each dose of drug 2, with the ranges determined by dose effect studies with each drug given alone). A second design is to pick the maximally effective dose of one drug and then test this in combination with varying doses of the second drug. Again, serum levels could be used to help choose an appropriate dosage range in phase I studies. Depending on the drugs to be studied, issues related to the duration of treatment and dosing intervals (both relative to the onset of cerebral ischemia and relative to each other) would also need to be established. There may be a need to evaluate both the maximal degree of neuroprotection that can be achieved and/or the maximal duration of the treatment window.
Typically, clinical dose escalation studies (phase I) are performed to identify the highest tolerable dose of the drug to be tested. In these studies, the dose is increased until significant toxicity develops. In preclinical studies, it is useful to have carefully determined the relationships between drug dose, plasma/tissue concentration, and efficacy. The design of clinical dose-escalation studies is simplified if preclinical studies show a plateau in benefit at higher doses. In this case, a phase I clinical study, carried out to test the safety and tolerability, can simply increase the dose until the theoretical serum/tissue level is reached, thus narrowing the dosage range for phase II studies. A phase II study would then be carried out to determine that a plateau in response had been reached (ie, to determine whether there is a consistent biological response to the intended regimen). If that is the case, erring on the side of choosing too high a dose would have limited or no effect on efficacy. In contrast, an inverted U or bell-shaped dose-response curve indicates that there is diminishing benefit after a maximally efficacious dose is reached, usually because higher doses produce toxic side effects. Depending on the shape of the curve, this may require a narrow dosing range. These phase II studies may be facilitated by the use of innovative "adaptive" designs or other novel statistical approaches.33 34
The discussion thus far has focused on the case in which 2 novel drugs are to be tested in combination. From a practical standpoint, the problem of study design is somewhat simplified when one of the agents has already been demonstrated to be efficacious on the basis of phase III human trial data. This drug regimen then becomes the standard therapy, with the second drug an "add on." In preclinical, phase I, and phase II studies, the dose of the proven drug is held constant and the dose-escalation is carried out only for the second medication. However, possible issues related to dosing intervals and the duration of therapy remain, as well as drug-drug interactions with regard to metabolism, pharmacokinetics, and pharmacodynamics.
Another scenario may occur in which 2 drugs have individually been assessed in phase III studies but neither has proven efficacious (or in which human data are available for at least one of drugs to be studied). The goal of combined therapy would be to seek a synergistic effect of the combination that could not be detected when each drug was tested separately. If critical preliminary data are missing, they need to be obtained before the combination therapy study can be conducted. However, the design of the combination study should be facilitated by the availability of the extensive data obtained for the individual phase III studies.
Finally, the probable mechanism(s) of action of the drugs needs to be considered. For example, one potential avenue of therapy might be to administer a putative neuroprotective agent in combination with, before, or after a thrombolytic drug. For rtPA, the dose and timing have been provisionally established and constitute the standard therapy. A combination of 2 neuroprotective agents acting through differing mechanisms represent another potential therapy. For example, a glutamate antagonist could be coupled with a free radical scavenger. This type of trial would represent a formidable undertaking, but by careful attention to the principles discussed above, a rationale study design should be possible.
Preliminary preclinical and clinical studies of combination therapy have been completed or are in progress. Lyden and colleagues35 have studied the combination of a glutamate antagonist (MK-801) plus a gamma-aminobutyric acid type A agonist (muscimol) in rats after cerebral embolism. When given 5 minutes after the onset of ischemia, reduced doses of the 2 drugs given in combination appeared to be neuroprotective; however, more detailed dose-response data needed to be obtained. In a second study,36 this combination of neuroprotectives appeared to extend the time windows of the drugs compared with either given alone and blocked toxic vacuolization seen in the retrosplenial and cingulate cortex after MK-801 treatment. Thus, increased efficacy with decreased toxicity may be possible by using different neuroprotective agents together.
There are several potential reasons for considering combining a thrombolytic drug with a neuroprotective agent. First, neuroprotective therapy initiated before or during the administration of a thrombolytic might extend the time period that the ischemic penumbra remains salvageable, leading to a higher proportion of patients with better outcomes.36 37 A preliminary phase II study would be complex in that both the dose and timing (before or after initiation of tPA) of the neuroprotective agent would need to be systematically varied (the dose and timing of tPA are based on the NINDS trial). Diffusion/perfusion MRI, MR angiography, and other imaging technologies may prove helpful in a phase II study in selecting patients likely to benefit from this approach and for providing preliminary biological efficacy data.38
Another potential reason to combine a thrombolytic with a neuroprotective agent would be to extend the time window for intravenous tPA beyond the 3-hour limit that is based on the currently available data. The coadministration of a neuroprotective agent could lead to a reduced deficit and better outcomes with longer treatment window.39 This approach would need to overcome concerns of increasing bleeding complications with increasing intervals between the onset of stroke symptoms and the administration of a thrombolytic. Therefore, the first approach would be favored initially.
A third target of combined thrombolytic and adjunctive therapy is secondary "reperfusion" injury.40 The mechanism(s) of this injury are uncertain, but may include microvascular occlusion, inflammation, the release of cytokines, the generation of oxygen free radicals, apoptosis, and other forms of delayed neuronal death. Preliminary laboratory data suggest that combination therapy aimed at reducing reperfusion injury may extend the period of effective thrombolysis.41 The issues related to the design of phase II and then phase III clinical studies are similar to those previously discussed.
Two preliminary clinical studies of the combination of tPA and a neuroprotective agent have been reported. The first was a study of lubeluzole and tPA.42 A suggestion of benefit was observed in patients with a major clinical stroke syndrome. Although there was no benefit of the combination, the study was halted prematurely by the sponsor because of issues unrelated to the progress of the trial. The second was a safety study of clomethiazole and tPA in 200 patients.43 Nevertheless, these data suggest that the combination appeared safe and that the conduct of a study of this type is feasible. The FDA has generally wanted pivotal phase III combination studies to include a factorial design. The successful design of these phase III studies of combination therapies will depend on the adequacy of preclinical, phase I, and phase II data, as well as the ethics of randomizing patients to the placebo arm of the factorial design in the face of an approved therapy.
| Study Logistics |
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The clinical and research experience of investigators and clinicians at participating sites must be considered. Investigators with limited experience in clinical trials may be more likely to become concerned if there is a small clustering of adverse events at their site. This can be disruptive to recruitment and lead to unwarranted concern among referring physicians. (In addition, potential bias must be considered.) Investigators not willing to randomize all patients qualifying for the study should probably not participate in the trial. Alternatively, appropriate algorithms for enrolling patients that minimize bias should be used. There is also a potential for bias in the evaluation of end points (especially if there may be clinical clues to the therapy, such as bleeding or confusion). Potential referral bias (ie, preferentially referring or not referring patients with a particular condition even though they meet the inclusion and exclusion criteria) may be minimized. For example, those with a strong belief in the utility of anticoagulation for acute stroke may be less likely to refer someone into a trial of heparinoids, if the patient has a clear cardioembolic stroke. Not only do these types of biases cast the results of the trial into question, but they may also reduce the intended study population, which could limit the trials power to address clinically relevant primary and secondary analyses.
There is an important interaction between the sponsor and investigators. Once a trial design has been established, direct interactions between the sponsor and the investigators at participating centers should be made optimal by determining the most efficient manner of interaction. An autonomous steering or executive committee can help in the interaction between the sponsor and individual sites for issues related to study design and execution, safety, and interim data analysis. The appropriate balance of members should be based on prior experience with trial design and execution. The steering committee should be aware of and sensitive to the concerns of the sponsor, which are most easily resolved by including appropriate individuals from the sponsor.
Assessment of outcome in a clinical trial can be only as good as the data collected. In trials, data are collected from many sources that may vary widely in both type and quality across different centers. At every stage of data collection, methods are needed to help ensure the data are accurate and secure. Examples of quality control methods include monitoring by outside reviewers, duplicate entry of data into computerized files, and consistency checking of the data to detect out-of-range values and biologically impossible combinations (eg, a left carotid territory stroke cannot produce left body weakness).
Quality control, trial performance, end point evaluation, and patient safety are concerns usually addressed by subcommittees specified in the protocol for a clinical trial. A steering committee and separate safety committee (data and safety monitoring board) are essential. Depending on the trial, other committees (eg, publications and end points) may also be required.
The steering committee should have more than a simple advisory role. A partnership should exist between the sponsor, investigators and academic members of the steering committee. All should share in their dedication to good science and the successful execution of the trial. Consultants and advisory boards should include individuals with experience in the designs and execution of clinical trials, as well as providing practical experience in the management of acute ischemic stroke protocols.
An independent safety committee must ensure that patients are not being put at excessive risk. As part of their analyses, the safety committee may have occasion to review data, which includes information about how patients were treated (ie, whether they received an active medication and the dose). The results of these analyses (and even whether they are performed) should be kept separate from the steering committee, sponsor, and investigators to avoid introducing bias into the trial.
| Conclusion |
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The STAIR group recognizes that the field of stroke research is evolving and there is much room for new approaches to designing and testing new therapies. The recommendations contained in this document will likely become obsolete with additional experience. However, they summarize the current thinking of the STAIR group on this topic.
| Appendix |
|---|
Statement Contributors
Seiichi Akitsuki, Kari Aranko, Tim Ashwood, Richard
P. Atkinson, Rodney D. Bell, Thomas G. Brott, William J. Cady,
Louis R. Caplan, Simon Coggins, Steven Cramer, Pamela Cyrus, Jeffrey
Dayno, J. Donald Easton, Peter J. Elliott, Seth P. Finklestein, Anthony
J. Furlan, Elkan Gamzu, Michelle S. Glasky, Katherine Gordon, Phillip
B. Gorelick, David T. Greenwood, James C. Grotta, Kevin Gunn, Vladimir
Hachinski, Werner Hacke, Edward D. Hall, Chung Y. Hsu, D. Michael
Humphreys, Hiroyuki Ishikawa, Alan J. Jacobs, Markku Kaste, Walter J.
Koroshetz, Michael Krams, Albert A. Lauritano, Jacques Leclerc, Kennedy
R. Lees, Lynna Lesko, Steven R. Levine, David E. Levy, Fuhai Li,
Patrick D. Lyden, Hiroyuki Masayasu, James McDermott, Richard C.
Meibach, Uwe Meya, Kazunari Miyairi, Tetsuhiro Niidome, Junichi Oeda,
R. Michael Poole, Eyal S. Ron, Ralph L. Sacco, Mario D. Saltarelli,
Kahori Shimizu, Bruce J. Shook, Mariola Soehngen, Wolfgan Soehngen,
David A. Stamler, Scot D. Styren, Philip A. Teal, Barbara C. Tilley,
Richard J. Traystman, Michael D. Walker, Bruce A. Wallin, Steven
Warach, David P. Ward, Thomas C. Wessel, Joseph Wettstein.
| Acknowledgments |
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| Footnotes |
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A complete listing of the writing committee and statement contributors can be found in the Appendix.
| References |
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