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CTGATE: Clinical Trial Generalizability Assessment Toolbox â Clinical Trial Generalizability Assessment Informatics Toolbox
CTGATE: Clinical Trial Generalizability Assessment Toolbox
Clinical Trial Generalizability Assessment Informatics Toolbox
Clinical Trial Generalizability Assessment Informatics Toolbox
A Priori/A Posteriori
What is the percentage of patients who would be excluded by each exclusion criterion?
How many elderly, women, and minorities are excluded by trials?
List the major reasons for exclusion
List the commonly used psychiatric exclusion criteria
Review the eligibility criteria of trilas on rheumatoid arthritis
What is the number of patients who would meet usua eligibility criteria of antipsychotic trials?
How many women, and minorities are excluded by each criterion in 32 NIH-funded HIV trials?
Evaluate the eligibility criteria in stroke prevention trials.
Assess the multiple chronic conditions of patients who are eligible for 5 RCTs
How many patients would be excluded by antidepressant RCT
Determine the proportion of patients with SSc who would theoretically be eligible for SSC trials
Determine the proportion of patients with newly evaluated advanced NSCLC seen at Fox Chase Cancer Center<span itemscope itemtype="http://schema.org/Organization">
<span itemprop="name">Fox Chase Cancer Center</span>
</span> (FCCC) who would have been eligible for ECOG 4599
Applied standard set of exclusion criteria in trials on MDE to 2001-2002 NESARC data and assessed the percentage of patients who would be excluded.
The inclusion/exclusion criteria were compared with an SLE database to determine the proportion of patients from the database who would theoretically be eligible for these trials.
Drug or alcohol abuse
Assessed the proportion of community dwelling adults with cannabis dependence who would have been eligible for a typical cannabis dependence treatment study.
Assessed how many patients were excluded post randomization
A counterfactual model is developed to represent the selection process explicitly. This simple extension of the standard counterfactual model is used to explore the implications of restrictive exclusion criteria intended to eliminate high-risk individuals.
The proposed method standardizes observed trial results to a specified target population and thereby provides information regarding the generalizability of trial results.
Eligibility was assessed by stepwise application of commonly used exclusion criteria.
Eligible and non-eligible patients were compared on proportion of response (50% reduction) and remission on MADRS
Our aim was to assess how many participants with GAD would fulfil typical eligibility criteria
Proportions of cases with 'not met' eligibility criteria were assessed for each category in each trial.
Investigated the influence of exclusion criteria on symptom outcome by multivariate regression models in a sample of patients suffering from MDD according to the MINIplus from a routine clinical practice setting
Assessed the atrial fibrillation patients who would be eligible for anticoagulant treatment trials
Determine the proportion of participants with bipolar depression or acute mania who would have been excluded from a clinical trial by typical eligibility criteria
Determine the number of patients that would be excluded from trials.
Patients were evaluated against the most common RCT exclusion criteria personality disorder, high suicide risk, cognitive impairment, psychosis, alcohol or substance abuse or dependency, bi-polar depression
Determine the proportion of patients excluded on account of trial eligibility compared with other reasons, and to explore the impact of such exclusions on the management and generalizability of RCTs