Applying the Risk of Bias Tool in a Systematic Review of Combination Long-Acting Beta-Agonists and Inhaled Corticosteroids for Persistent Asthma
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{"title"=>"Applying the risk of bias tool in a systematic review of combination long-acting beta-agonists and inhaled corticosteroids for persistent asthma", "type"=>"generic", "authors"=>[{"first_name"=>"Lisa", "last_name"=>"Hartling", "scopus_author_id"=>"7003502722"}, {"first_name"=>"Kenneth", "last_name"=>"Bond", "scopus_author_id"=>"15064969100"}, {"first_name"=>"Ben", "last_name"=>"Vandermeer", "scopus_author_id"=>"8892847100"}, {"first_name"=>"Jennifer", "last_name"=>"Seida", "scopus_author_id"=>"56780076000"}, {"first_name"=>"Donna M.", "last_name"=>"Dryden", "scopus_author_id"=>"7004366662"}, {"first_name"=>"Brian H.", "last_name"=>"Rowe", "scopus_author_id"=>"7201598110"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"21390219", "doi"=>"10.1371/journal.pone.0017242", "sgr"=>"79952096541", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "scopus"=>"2-s2.0-79952096541", "issn"=>"19326203", "pui"=>"361341373"}, "id"=>"1dbb7fd5-913b-315d-b6c9-85e05904f7d8", "abstract"=>"The Risk of Bias (RoB) tool is used to assess internal validity of randomized controlled trials (RCTs). Our objectives were to: 1) evaluate inter-rater agreement of the RoB tool; 2) determine the time to access supplemental study information; 3) compare the RoB tool with the Jadad scale and Schulz allocation concealment (AC); and 4) examine the relationship between RoB and effect estimates.", "link"=>"http://www.mendeley.com/research/applying-risk-bias-tool-systematic-review-combination-longacting-betaagonists-inhaled-corticosteroid-1", "reader_count"=>35, "reader_count_by_academic_status"=>{"Librarian"=>2, "Researcher"=>7, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>3, "Student > Master"=>11, "Other"=>1, "Student > Bachelor"=>2, "Lecturer"=>1, "Professor"=>3}, "reader_count_by_user_role"=>{"Librarian"=>2, "Researcher"=>7, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>3, "Student > Master"=>11, "Other"=>1, "Student > Bachelor"=>2, "Lecturer"=>1, "Professor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Agricultural and Biological Sciences"=>3, "Medicine and Dentistry"=>25, "Design"=>1, "Neuroscience"=>1, "Social Sciences"=>2, "Decision Sciences"=>1, "Economics, Econometrics and Finance"=>1}, "reader_count_by_subdiscipline"=>{"Design"=>{"Design"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>25}, "Neuroscience"=>{"Neuroscience"=>1}, "Social Sciences"=>{"Social Sciences"=>2}, "Decision Sciences"=>{"Decision Sciences"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Unspecified"=>{"Unspecified"=>1}}, "reader_count_by_country"=>{"Canada"=>1, "Egypt"=>1, "United Kingdom"=>1}, "group_count"=>5}

Scopus | Further Information

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  • {"files"=>["https://ndownloader.figshare.com/files/795787"], "description"=>"<p>(Note: TE  =  treatment effect. Components were not estimable when all studies were rated the same [i.e., all high or all low/unclear risk of bias]).</p>", "links"=>[], "tags"=>["differences", "estimates", "symptom-free", "days", "domains", "sources"], "article_id"=>466152, "categories"=>["Medicine", "Mathematics", "Science Policy", "Biotechnology", "Pharmacology"], "users"=>["Lisa Hartling", "Kenneth Bond", "Ben Vandermeer", "Jennifer Seida", "Donna M. Dryden", "Brian H. Rowe"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0017242.g004", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_differences_in_effect_estimates_for_symptom_free_days_across_domains_and_overall_risk_of_bias_with_and_without_8220_other_8221_sources_of_bias_high_vs_low_unclear_risk_of_bias_/466152", "title"=>"Mean differences in effect estimates for symptom-free days across domains and overall risk of bias (with and without “other” sources of bias), high vs. low/unclear risk of bias.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-02-24 01:42:32"}
  • {"files"=>["https://ndownloader.figshare.com/files/795884"], "description"=>"<p>Inter-rater agreement for individual domains and overall risk of bias.</p>", "links"=>[], "tags"=>["domains"], "article_id"=>466254, "categories"=>["Medicine", "Mathematics", "Science Policy", "Biotechnology", "Pharmacology"], "users"=>["Lisa Hartling", "Kenneth Bond", "Ben Vandermeer", "Jennifer Seida", "Donna M. Dryden", "Brian H. Rowe"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0017242.t002", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Inter_rater_agreement_for_individual_domains_and_overall_risk_of_bias_/466254", "title"=>"Inter-rater agreement for individual domains and overall risk of bias.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-02-24 01:44:14"}
  • {"files"=>["https://ndownloader.figshare.com/files/795945"], "description"=>"<p>Assessment of risk of bias vs. allocation concealment (n = 107 trials; correlation, τ = 0.02).</p>", "links"=>[], "tags"=>["allocation", "concealment"], "article_id"=>466320, "categories"=>["Medicine", "Mathematics", "Science Policy", "Biotechnology", "Pharmacology"], "users"=>["Lisa Hartling", "Kenneth Bond", "Ben Vandermeer", "Jennifer Seida", "Donna M. Dryden", "Brian H. Rowe"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0017242.t004", "stats"=>{"downloads"=>2, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Assessment_of_risk_of_bias_vs_allocation_concealment_n_8202_8202_107_trials_correlation_964_8202_8202_0_02_/466320", "title"=>"Assessment of risk of bias vs. allocation concealment (n = 107 trials; correlation, τ = 0.02).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-02-24 01:45:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/795724"], "description"=>"<p>[Note: TE  =  treatment effect]).</p>", "links"=>[], "tags"=>["differences", "estimates", "symptom-free", "days", "domains", "sources"], "article_id"=>466094, "categories"=>["Medicine", "Mathematics", "Science Policy", "Biotechnology", "Pharmacology"], "users"=>["Lisa Hartling", "Kenneth Bond", "Ben Vandermeer", "Jennifer Seida", "Donna M. Dryden", "Brian H. Rowe"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0017242.g003", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_differences_in_effect_estimates_for_symptom_free_days_across_domains_and_overall_risk_of_bias_with_and_without_8220_other_8221_sources_of_bias_high_unclear_vs_low_risk_of_bias_/466094", "title"=>"Mean differences in effect estimates for symptom-free days across domains and overall risk of bias (with and without “other” sources of bias), high/unclear vs. low risk of bias.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-02-24 01:41:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/795913"], "description"=>"<p>Assessment of risk of bias vs. Jadad scores (n = 107 trials; correlation, τ = 0.04).</p>", "links"=>[], "tags"=>["jadad", "scores"], "article_id"=>466283, "categories"=>["Medicine", "Mathematics", "Science Policy", "Biotechnology", "Pharmacology"], "users"=>["Lisa Hartling", "Kenneth Bond", "Ben Vandermeer", "Jennifer Seida", "Donna M. Dryden", "Brian H. Rowe"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0017242.t003", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Assessment_of_risk_of_bias_vs_Jadad_scores_n_8202_8202_107_trials_correlation_964_8202_8202_0_04_/466283", "title"=>"Assessment of risk of bias vs. Jadad scores (n = 107 trials; correlation, τ = 0.04).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-02-24 01:44:43"}
  • {"files"=>["https://ndownloader.figshare.com/files/795581"], "description"=>"<p>Components were not estimable when all studies were rated the same [i.e., all high/unclear or all low risk of bias]).</p>", "links"=>[], "tags"=>["differences", "estimates", "domains", "sources", "expiratory"], "article_id"=>465948, "categories"=>["Medicine", "Mathematics", "Science Policy", "Biotechnology", "Pharmacology"], "users"=>["Lisa Hartling", "Kenneth Bond", "Ben Vandermeer", "Jennifer Seida", "Donna M. Dryden", "Brian H. Rowe"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0017242.g001", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_differences_in_effect_estimates_for_FEV_1_across_domains_and_overall_risk_of_bias_with_and_without_8220_other_8221_sources_of_bias_high_unclear_vs_low_risk_of_bias_Note_TE_8202_8202_treatment_effect_FEV_1_8202_8202_forced_expiratory_volume_in_1_seco/465948", "title"=>"Mean differences in effect estimates for FEV<sub>1</sub> across domains and overall risk of bias (with and without “other” sources of bias), high/unclear vs. low risk of bias (Note: TE = treatment effect; FEV<sub>1</sub> = forced expiratory volume in 1 second.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-02-24 01:39:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/397952"], "description"=>"<div><h3>Background</h3><p>The Risk of Bias (RoB) tool is used to assess internal validity of randomized controlled trials (RCTs). Our objectives were to: 1) evaluate inter-rater agreement of the RoB tool; 2) determine the time to access supplemental study information; 3) compare the RoB tool with the Jadad scale and Schulz allocation concealment (AC); and 4) examine the relationship between RoB and effect estimates.</p> <h3>Methods</h3><p>We conducted a systematic review of long-acting beta agonists (LABA) combined with inhaled corticosteroids (ICS) for adults with persistent asthma. Two reviewers independently assessed 107 trials using RoB, Jadad, and AC. One reviewer searched for study protocols. We assessed inter-rater agreement using weighted Kappa (κ) and the correlation between tools using Kendall's Tau (τ). Mean differences in effect sizes for RCTs with different RoB were calculated using inverse variance method and random effects model.</p> <h3>Results</h3><p>Trials had good Jadad scores (median 4, IQR 3-4); however, 85% had unclear AC and 87% high RoB. The factor that most influenced RoB was the potential inappropriate influence of study sponsors (95% industry funded). Agreement on RoB domains was fair (κ = 0.40) to almost perfect (κ = 0.86), and moderate for overall RoB (κ = 0.41). Median time to complete RoB assessments was 21 minutes (IQR 14-27) and 12 minutes (IQR 9-16) to search for protocols. Protocols were identified for 5/42 studies (12%); in 3 cases the assessment of selective outcome reporting changed. There was low correlation between overall RoB vs. Jadad (<b>τ</b> = 0.04, p = 0.3) and AC (<b>τ</b> = −0.02, p = 0.7). Analyses comparing effect estimates and risk showed no important patterns.</p> <h3>Conclusions</h3><p>Inter-rater agreement on RoB assessments was better than previously reported suggesting that review-specific guidelines are important. The correlation between RoB and Jadad was low suggesting measurement of different constructs (risk of bias vs. quality of reporting). The extensive involvement of the pharmaceutical industry in this LABA/ICS research should raise concerns about potential overestimates of treatment effects.</p> </div>", "links"=>[], "tags"=>["applying", "systematic", "long-acting", "beta-agonists", "inhaled", "corticosteroids", "persistent", "asthma"], "article_id"=>138620, "categories"=>["Medicine", "Mathematics", "Science Policy", "Biotechnology", "Pharmacology"], "users"=>["Lisa Hartling", "Kenneth Bond", "Ben Vandermeer", "Jennifer Seida", "Donna M. Dryden", "Brian H. Rowe"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0017242", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Applying_the_Risk_of_Bias_Tool_in_a_Systematic_Review_of_Combination_Long_Acting_Beta_Agonists_and_Inhaled_Corticosteroids_for_Persistent_Asthma/138620", "title"=>"Applying the Risk of Bias Tool in a Systematic Review of Combination Long-Acting Beta-Agonists and Inhaled Corticosteroids for Persistent Asthma", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-02-24 02:23:40"}

PMC Usage Stats | Further Information

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