{"id":1132,"date":"2017-10-12T09:43:44","date_gmt":"2017-10-12T16:43:44","guid":{"rendered":"http:\/\/cholesterolcode.com\/?p=1132"},"modified":"2017-10-12T11:47:22","modified_gmt":"2017-10-12T18:47:22","slug":"blood-pool","status":"publish","type":"post","link":"https:\/\/cholesterolcode.com\/blood-pool\/","title":{"rendered":"Blood Pool – Reader Contributed Test Results"},"content":{"rendered":"\n\n<\/colgroup>\n\n\n
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Note from Dave–<\/h5>\n

I’m so happy this work by Craig<\/a> is finally going up on the site. There was an extraordinary amount of work put into this post, not just in the writing and visuals, but in the meticulous effort he has put forth in mining all the data throughout the site. Extra thanks to Matt’s<\/a> amazing contribution as well in processing and developing the data set.<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n


\nIntroduction<\/b><\/h1>\n

Readers of this blog often share the results of their test results in comments, tweets, and emails. I\u2019ve been collecting and labeling these into a dataset.\u00a0 <\/span>This article presents a summary of the nearly 200 data points extracted from the comments through October 1st.<\/p>\n

Special thanks to Matt Allington who put together the interactive visualizations for this post.\u00a0 Matt is a Power BI reporting professional (and LCHF advocate) at\u00a0http:\/\/exceleratorbi.com.au<\/a>.<\/p>\n

Lipid Scores<\/b><\/h2>\n

Looking through the comment history, I found the most consistently reported metrics were those from a basic lipid panel:<\/p>\n