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. 2019 Jun 27;17:116. doi: 10.1186/s12916-019-1353-2

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

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Fig. 2 — Average population-level concordance (%) of algorithms with standard (physician-assigned) in a randomized trial and the average population-level concordance in earlier non-randomized studies. 100% concordance would indicate complete agreement with the standard. The horizontal bars indicate the range of the mean concordance estimates (weighted by sample size) in each study