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      Cadmium exposure and risk of breast cancer: A dose-response meta-analysis of cohort studies

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          Measuring inconsistency in meta-analyses.

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            Meta-analysis in clinical trials

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              Grading quality of evidence and strength of recommendations.

              Users of clinical practice guidelines and other recommendations need to know how much confidence they can place in the recommendations. Systematic and explicit methods of making judgments can reduce errors and improve communication. We have developed a system for grading the quality of evidence and the strength of recommendations that can be applied across a wide range of interventions and contexts. In this article we present a summary of our approach from the perspective of a guideline user. Judgments about the strength of a recommendation require consideration of the balance between benefits and harms, the quality of the evidence, translation of the evidence into specific circumstances, and the certainty of the baseline risk. It is also important to consider costs (resource utilisation) before making a recommendation. Inconsistencies among systems for grading the quality of evidence and the strength of recommendations reduce their potential to facilitate critical appraisal and improve communication of these judgments. Our system for guiding these complex judgments balances the need for simplicity with the need for full and transparent consideration of all important issues.
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                Author and article information

                Contributors
                (View ORCID Profile)
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                Journal
                Environment International
                Environment International
                Elsevier BV
                01604120
                September 2020
                September 2020
                : 142
                : 105879
                Article
                10.1016/j.envint.2020.105879
                32599354
                9c33ab02-7214-4b8a-8858-35cfdf3d4357
                © 2020

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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