{"id":1410,"date":"2018-08-28T17:14:24","date_gmt":"2018-08-28T16:14:24","guid":{"rendered":"https:\/\/blogs.bmj.com\/adc\/?p=1410"},"modified":"2018-08-28T17:14:24","modified_gmt":"2018-08-28T16:14:24","slug":"confounded","status":"publish","type":"post","link":"https:\/\/blogs.bmj.com\/adc\/2018\/08\/28\/confounded\/","title":{"rendered":"Confounded"},"content":{"rendered":"<p><a href=\"https:\/\/www.deviantart.com\/kitcloudweaver\/art\/Confused-Rainbow-Dash-lying-on-her-back-478692750\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-thumbnail wp-image-1411\" src=\"https:\/\/blogs.bmj.com\/adc\/files\/2018\/08\/rainbow-dash-confused-81x150.gif\" alt=\"\" width=\"81\" height=\"150\" \/><\/a><\/p>\n<p>There\u2019s a lot of confusion on confounding.<\/p>\n<p>We need to understand confounding when we try to use non-randomised studies to see if doing a Thing is going to produce more good than harm, or looking for <a href=\"https:\/\/blogs.bmj.com\/adc\/2009\/03\/09\/risk-vs-prognostic-factors\/\">risk factors<\/a> we then will hope to influence to produce goodness.<\/p>\n<p>If we look at observational data on time-to-diagnosis in some brain tumours, we find shorter times between symptoms and diagnosis lead to higher risks of death \/ disability. Ergo, we should lengthen scan waiting times, and neurosurgical review accessibility, in order to save lives \/ prevent disability\u2026<!--more--> \u201cNo!\u201d you all cry (at least, I hope you do; if not, please self-refer to your governing body for immediate review of fitness to practice). This finding is confounded by the nature of those tumours which present quickly, and lead to worse outcomes. The underlying biology is the cause of worse outcomes in the early group, compared to the later ones. The counfounder is the feature which is the actual cause, compared to the observed \/ presumed cause.<\/p>\n<p>Whenever you\u2019re looking at observational studies, you need to very carefully explore what else might be going on. Even with statistical techniques to adjust for the measured and observed differences between groups which may be affecting the outcome, there is always residual confounding (the bits left unseen). The <a href=\"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0895435611001843\">GRADE group suggest<\/a> if the observed effect, after all those adjustments and considerations, is an odds ratio of less than 2 (conversely more than 0.5) you should be wary. \u201cSketchy stuff\u201d as the young people say.<\/p>\n<p>When you\u2019re away from randomised trials, don\u2019t get confused. Grasp confounding.<\/p>\n<ul>\n<li>Archi<\/li>\n<\/ul>\n<p><!--TrendMD v2.4.8--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>There\u2019s a lot of confusion on confounding. We need to understand confounding when we try to use non-randomised studies to see if doing a Thing is going to produce more good than harm, or looking for risk factors we then will hope to influence to produce goodness. If we look at observational data on time-to-diagnosis [&#8230;]<\/p>\n<p><a class=\"btn btn-secondary understrap-read-more-link\" href=\"https:\/\/blogs.bmj.com\/adc\/2018\/08\/28\/confounded\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":7,"featured_media":1411,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1410","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Confounded - ADC Online Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blogs.bmj.com\/adc\/2018\/08\/28\/confounded\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Confounded - ADC Online Blog\" \/>\n<meta property=\"og:description\" content=\"There\u2019s a lot of confusion on confounding. We need to understand confounding when we try to use non-randomised studies to see if doing a Thing is going to produce more good than harm, or looking for risk factors we then will hope to influence to produce goodness. 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