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Selover D, Dana T, Smith C, et al. Drug Class Review: Nasal Corticosteroids: Final Report Update 1 [Internet]. Portland (OR): Oregon Health & Science University; 2008 Jun.
This publication is provided for historical reference only and the information may be out of date.
Literature Search
To identify relevant citations, we searched the Cochrane Central Register of Controlled Trials (4th Quarter 2005 Update 1: 3rd Quarter 2007), the Cochrane Database of Systematic Reviews (3rd Quarter 2007), and MEDLINE (1966 to October Week 3 2005; Update 1: September Week 1 2007) using terms for included drugs, indications, and study designs (see Appendix A for complete search strategies). Our literature search was limited to English-language publications. To identify additional studies, we also searched reference lists of included studies and reviews and FDA information.9 In addition, dossiers were requested from manufacturers of the included drugs. Dossiers were submitted by the following pharmaceutical companies: AstraZeneca (budesonide aqueous), GlaxoSmithKline (fluticasone furoate), Sanofi-Aventis (triamcinolone acetonide), and Schering-Plough (mometasone furoate).
All citations were imported into an electronic database (EndNote 9.0).
Study Selection
Two reviewers independently assessed abstracts of citations identified from literature searches for inclusion, using the criteria described above. Disagreements were resolved using a consensus process. Full-text articles of potentially relevant abstracts were retrieved and a second review for inclusion was conducted by reapplying the inclusion criteria.
Data Abstraction
The following data were abstracted from included trials: study design, setting, population characteristics (including sex, age, ethnicity, diagnosis), eligibility and exclusion criteria, interventions (dose and duration), comparisons, numbers screened, eligible, enrolled, and lost to follow-up, method of outcome ascertainment, and results for each outcome. We recorded intention-to-treat results when reported. In cases where only per-protocol results were reported, we calculated intention-to-treat results if the data for these calculations were available. In trials with crossover, outcomes for the first intervention were recorded if available. This was because of the potential for differential withdrawal prior to crossover biasing subsequent results and the possibility of either a “carryover effect” (from the first treatment) in studies without a washout period, or “rebound” effect from withdrawal of the first intervention.
Data abstracted from observational studies included design, eligibility criteria duration, interventions, concomitant medication, assessment techniques, age, gender, ethnicity, number of patients screened, eligible, enrolled, withdrawn, or lost to follow-up, number analyzed, and results.
Quality Assessment
We assessed the internal validity (quality) of trials based on the predefined criteria listed in Appendix B. These criteria are based on the U.S. Preventive Services Task Force and the National Health Service Centre for Reviews and Dissemination (U.K.) criteria.10, 11 We considered the following factors when rating internal validity: methods used for randomization, allocation concealment, and blinding; the similarity of compared groups at baseline; maintenance of comparable groups; adequate reporting of dropouts, attrition, crossover, adherence, and contamination; loss to follow-up; and the use of intention-to-treat analysis. Trials that had a fatal flaw were rated “poor-quality”; trials that met all criteria were rated “good-quality”; the remainder were rated “fair-quality.” As the fair-quality category is broad, studies with this rating vary in their strengths and weaknesses: the results of some fair-quality studies are likely to be valid, while others are only probably valid. A poor-quality trial is not valid—the results are at least as likely to reflect flaws in the study design as the true difference between the compared drugs. A fatal flaw is reflected by failing to meet combinations of items of the quality assessment checklist. External validity of trials was assessed based on whether the publication adequately described the study population, how similar patients were to the target population in whom the intervention will be applied, and whether the treatment received by the control group was reasonably representative of standard practice. We also recorded the role of the funding source.
Appendix B also shows the criteria we used to rate observational studies. These criteria reflect aspects of the study design that are particularly important for assessing adverse event rates. We rated observational studies as good-quality for adverse event assessment if they adequately met 6 or more of the 7 predefined criteria, fair-quality if they met 3 to 5 criteria and poor-quality if they met 2 or fewer criteria.
Included systematic reviews were also rated for quality based on pre-defined criteria (see Appendix B), based on a clear statement of the questions(s), inclusion criteria, adequacy of search strategy, validity assessment and adequacy of detail provided for included studies, and appropriateness of the methods of synthesis. Overall quality ratings for the individual study were based on internal and external validity ratings for that trial. A particular randomized trial might receive 2 different ratings: one for effectiveness and another for adverse events. The overall strength of evidence for a particular key question reflects the quality, consistency, and power of the set of studies relevant to the question.
Evidence Synthesis
Effectiveness compared with efficacy
When available, we highlight effectiveness studies conducted in primary care or office-based settings that use less stringent eligibility criteria, assess health outcomes, and have longer follow-up periods than most efficacy studies. The results of effectiveness studies are more applicable to the “typical” patient than results from highly selected populations in efficacy studies. Examples of “effectiveness” outcomes include quality of life, global measures of academic success, and the ability to work or function in social activities. These outcomes are more important to patients, family and care providers than surrogate or intermediate measures such as scores based on psychometric scales.
Efficacy studies provide the best information about how a drug performs in controlled settings that allow for better control over potential confounding factors and bias. However, the results of efficacy studies are not always applicable to many, or to most, patients seen in everyday practice. This is because most efficacy studies use strict eligibility criteria, which may exclude patients based on their age, sex, medication compliance, or severity of illness. For many drug classes severely impaired patients are often excluded from trials. Often, efficacy studies also exclude patients who have “comorbid” diseases, meaning diseases other than the one under study. Efficacy studies may also use dosing regimens and follow up protocols that may be impractical in other practice settings. They often restrict options, such as combining therapies or switching drugs that are of value in actual practice. They often examine the short-term effects of drugs that, in practice, are used for much longer periods of time. Finally, they tend to use objective measures of effect that do not capture all of the benefits and harms of a drug or do not reflect the outcomes that are most important to patients and their families.
Data presentation
We constructed evidence tables showing the study characteristics, quality ratings, and results for all included studies. Studies that evaluated 1 nasal corticosteroid against another provided direct evidence of comparative benefits and harms. Outcomes of changes in symptom measured using scales or tools with good validity and reliability are preferred over scales or tools with low validity/reliability or no reports of validity/reliability testing. Where possible, head-to-head data are the primary focus of the synthesis. No meta-analyses were conducted in this review due to heterogeneity in treatment regimens, use of concomitant medications, outcome reporting and patient populations.
In theory, trials that compare these drugs to other interventions or placebos can also provide evidence about effectiveness. This is known as an indirect comparison and can be difficult to interpret for a number of reasons, primarily issues of heterogeneity between trial populations, interventions, and assessment of outcomes. Indirect data are used to support direct comparisons, where they exist, and are also used as the primary comparison where no direct comparisons exist. Such indirect comparisons should be interpreted with caution.
When analyses of statistical significance were not presented, Fisher’s exact test was performed using StatsDirect (CamCode, U.K.) when adequate data were provided.
- Methods - Drug Class Review: Nasal CorticosteroidsMethods - Drug Class Review: Nasal Corticosteroids
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