Despina Koletsi1, Padhraig S Fleming2, Iris Michelaki3, Nikolaos Pandis4. 1. Clinic of Orthodontics and Paediatric Dentistry, Center of Dental Medicine, University of Zurich, Zurich, Switzerland and Private Practice in Athens, Greece. Electronic address: d.koletsi@gmail.com. 2. Department of Orthodontics, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom. 3. School of Dentistry, National and Kapodistrian University of Athens, Athens, Greece. 4. Department of Orthodontics and Dentofacial Orthopedics, Dental School/Medical Faculty, University of Bern, Switzerland and Private Practice in Corfu, Greece.
Abstract
OBJECTIVES: Heterogeneity describes the percentage of variability across the study effects that can be attributed to between-study differences in a meta-analysis. The aim of this project was to explore the magnitude of heterogeneity in Cochrane and non-Cochrane meta-analyses in orthodontic research and to identify possible associations between heterogeneity (I2) and a number of study characteristics including number of studies, type of outcome and type of analysis. METHODS: The contents of five major orthodontic journals and the Cochrane Database of Systematic Reviews were electronically searched from January 2000 to December 2017 to identify Systematic Reviews (SRs) with at least one meta-analysis. Included records were screened for reporting of I2 classified into four categories: 0%, 1-29%, 30-59%, 60-100%. Associations between I2 and review-level and synthesis-level characteristics were tested. Univariable and multivariable mixed effects ordinal logistic regression was used to identify significant predictors for statistical heterogeneity. RESULTS: A total of 72 SRs comprising 391 meta-analyses were included with the majority based on non-Cochrane reviews (n = 54, 75%). Overall, 125 meta-analyses (32%) reported heterogeneity explained by chance (I2 = 0%), whereas high values of I2 (∼60-100%) were seen in 152 syntheses (39%). In the multivariable analysis, inclusion of each additional study within the synthesis presented 20% higher odds for substantial/considerable heterogeneity compared to lower heterogeneity categories (OR = 1.20; 95%CIs: 1.09, 1.31; p < 0.001). Use of fixed effect analysis (OR = 0.25; 95%CIs: 0.12, 0.55; p = 0.001) was associated with significantly lower odds. Cochrane versus non-Cochrane meta-analyses were not associated with higher odds for substantial/considerable heterogeneity (OR = 2.81; 95%CIs: 0.53, 14.91; p = 0.22). CONCLUSIONS: Substantial statistical heterogeneity is present within a considerable number of orthodontic meta-analyses. Further efforts should be made to improve understanding of decisions to undertake meta-analyses and selection of studies eligible for inclusion. CLINICAL SIGNIFICANCE: The consistency of meta-analyses could be improved with more careful consideration of individual study characteristics. Reduced heterogeneity in meta-analyses will ensue more solid evidence based decisions for clinical practice.
OBJECTIVES: Heterogeneity describes the percentage of variability across the study effects that can be attributed to between-study differences in a meta-analysis. The aim of this project was to explore the magnitude of heterogeneity in Cochrane and non-Cochrane meta-analyses in orthodontic research and to identify possible associations between heterogeneity (I2) and a number of study characteristics including number of studies, type of outcome and type of analysis. METHODS: The contents of five major orthodontic journals and the Cochrane Database of Systematic Reviews were electronically searched from January 2000 to December 2017 to identify Systematic Reviews (SRs) with at least one meta-analysis. Included records were screened for reporting of I2 classified into four categories: 0%, 1-29%, 30-59%, 60-100%. Associations between I2 and review-level and synthesis-level characteristics were tested. Univariable and multivariable mixed effects ordinal logistic regression was used to identify significant predictors for statistical heterogeneity. RESULTS: A total of 72 SRs comprising 391 meta-analyses were included with the majority based on non-Cochrane reviews (n = 54, 75%). Overall, 125 meta-analyses (32%) reported heterogeneity explained by chance (I2 = 0%), whereas high values of I2 (∼60-100%) were seen in 152 syntheses (39%). In the multivariable analysis, inclusion of each additional study within the synthesis presented 20% higher odds for substantial/considerable heterogeneity compared to lower heterogeneity categories (OR = 1.20; 95%CIs: 1.09, 1.31; p < 0.001). Use of fixed effect analysis (OR = 0.25; 95%CIs: 0.12, 0.55; p = 0.001) was associated with significantly lower odds. Cochrane versus non-Cochrane meta-analyses were not associated with higher odds for substantial/considerable heterogeneity (OR = 2.81; 95%CIs: 0.53, 14.91; p = 0.22). CONCLUSIONS: Substantial statistical heterogeneity is present within a considerable number of orthodontic meta-analyses. Further efforts should be made to improve understanding of decisions to undertake meta-analyses and selection of studies eligible for inclusion. CLINICAL SIGNIFICANCE: The consistency of meta-analyses could be improved with more careful consideration of individual study characteristics. Reduced heterogeneity in meta-analyses will ensue more solid evidence based decisions for clinical practice.
Authors: Liliya Eugenevna Ziganshina; Ekaterina V Yudina; Liliya I Talipova; Guzel N Sharafutdinova; Rustem N Khairullin Journal: Int J Environ Res Public Health Date: 2020-12-09 Impact factor: 3.390
Authors: Luping Yang; Dongling Zhong; Yue Zhang; Yuxi Li; Tianyu Liu; Yaling Zheng; Wei Wang; Juan Li; Li Guan; Rongjiang Jin Journal: Int J Gen Med Date: 2021-06-29