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      Newcastle-Ottawa Scale: comparing reviewers’ to authors’ assessments

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          Abstract

          Background

          Lack of appropriate reporting of methodological details has previously been shown to distort risk of bias assessments in randomized controlled trials. The same might be true for observational studies. The goal of this study was to compare the Newcastle-Ottawa Scale (NOS) assessment for risk of bias between reviewers and authors of cohort studies included in a published systematic review on risk factors for severe outcomes in patients infected with influenza.

          Methods

          Cohort studies included in the systematic review and published between 2008–2011 were included. The corresponding or first authors completed a survey covering all NOS items. Results were compared with the NOS assessment applied by reviewers of the systematic review. Inter-rater reliability was calculated using kappa ( K) statistics.

          Results

          Authors of 65/182 (36%) studies completed the survey. The overall NOS score was significantly higher (p < 0.001) in the reviewers’ assessment (median = 6; interquartile range [IQR] 6–6) compared with those by authors (median = 5, IQR 4–6). Inter-rater reliability by item ranged from slight ( K = 0.15, 95% confidence interval [CI] = −0.19, 0.48) to poor ( K = −0.06, 95% CI = −0.22, 0.10). Reliability for the overall score was poor ( K = −0.004, 95% CI = −0.11, 0.11).

          Conclusions

          Differences in assessment and low agreement between reviewers and authors suggest the need to contact authors for information not published in studies when applying the NOS in systematic reviews.

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          Most cited references12

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          The Measurement of Observer Agreement for Categorical Data

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            Populations at risk for severe or complicated influenza illness: systematic review and meta-analysis

            Objective To evaluate risk factors for severe outcomes in patients with seasonal and pandemic influenza. Design Systematic review. Study selection Observational studies reporting on risk factor-outcome combinations of interest in participants with influenza. Outcomes included death, ventilator support, admission to hospital, admission to an intensive care unit, pneumonia, and composite outcomes. Data sources Medline, Embase, CINAHL, Global Health, and the Cochrane Central Register of Controlled Trials to March 2011. Risk of bias assessment Newcastle-Ottawa scale to assess the risk of bias. GRADE framework to evaluate the quality of evidence. Results 63 537 articles were identified of which 234 with a total of 610 782 participants met the inclusion criteria. The evidence supporting risk factors for severe outcomes of influenza ranged from being limited to absent. This was particularly relevant for the relative lack of data for non-2009 H1N1 pandemics and for seasonal influenza studies. Limitations in the published literature included lack of power and lack of adjustment for confounders was widespread: adjusted risk estimates were provided for only 5% of risk factor-outcome comparisons in 39 of 260 (15%) studies. The level of evidence was low for “any risk factor” (odds ratio for mortality 2.77, 95% confidence interval 1.90 to 4.05 for pandemic influenza and 2.04, 1.74 to 2.39 for seasonal influenza), obesity (2.74, 1.56 to 4.80 and 30.1, 1.74 to 2.39), cardiovascular diseases (2.92, 1.76 to 4.86 and 1.97, 1.06 to 3.67), and neuromuscular disease (2.68, 1.91 to 3.75 and 3.21, 1.84 to 5.58). The level of evidence was very low for all other risk factors. Some well accepted risk factors such as pregnancy and belonging to an ethnic minority group could not be identified as risk factors. In contrast, women who were less than four weeks post partum had a significantly increased risk of death from pandemic influenza (4.43, 1.24 to 15.81). Conclusion The level of evidence to support risk factors for influenza related complications is low and some well accepted risk factors, including pregnancy and ethnicity, could not be confirmed as risks. Rigorous and adequately powered studies are needed.
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              Content analysis: What are they talking about?

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                Author and article information

                Contributors
                Journal
                BMC Med Res Methodol
                BMC Med Res Methodol
                BMC Medical Research Methodology
                BioMed Central
                1471-2288
                2014
                1 April 2014
                : 14
                : 45
                Affiliations
                [1 ]Department of Medicine, University of Toronto, Toronto Ontario, Canada
                [2 ]Department of Medicine, McMaster University, Hamilton Ontario, Canada
                [3 ]Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton Ontario, Canada
                [4 ]Michael G. DeGroote Institute for Infectious Diseases Research, McMaster University, Hamilton Ontario, Canada
                [5 ]Department of Pathology and Molecular Medicine, McMaster University, MDCL 3203, 1200 Main St W, Hamilton, Ontario L8N 3Z5, Canada
                Article
                1471-2288-14-45
                10.1186/1471-2288-14-45
                4021422
                24690082
                76cce5e7-7d95-4ad1-a5a3-3c0243c28e6b
                Copyright © 2014 Lo et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 7 October 2013
                : 17 March 2014
                Categories
                Research Article

                Medicine
                newcastle ottawa scale,inter-rater,reliability,validity,risk of bias,observational studies
                Medicine
                newcastle ottawa scale, inter-rater, reliability, validity, risk of bias, observational studies

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