<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Evidence-Based Medicine on Po-Wei Chen, MD — Physiatrist &amp; Builder</title><link>https://drpwchen.com/en/categories/evidence-based-medicine/</link><description>Recent content in Evidence-Based Medicine on Po-Wei Chen, MD — Physiatrist &amp; Builder</description><image><title>Po-Wei Chen, MD — Physiatrist &amp; Builder</title><url>https://drpwchen.com/og-default.png</url><link>https://drpwchen.com/og-default.png</link></image><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 30 Jun 2024 13:31:27 +0000</lastBuildDate><atom:link href="https://drpwchen.com/en/categories/evidence-based-medicine/index.xml" rel="self" type="application/rss+xml"/><item><title>[EBM] Should I calculate study power when results are not significant? Misleading post-hoc power</title><link>https://drpwchen.com/en/posts/ebm-post-hoc-power-analysis/</link><pubDate>Fri, 11 Nov 2022 09:26:00 +0000</pubDate><guid>https://drpwchen.com/en/posts/ebm-post-hoc-power-analysis/</guid><description>Calculating post-hoc power when statistics are non-significant is actually a misleading practice: it&amp;#39;s inherently tied to the p-value. When p &amp;gt; 0.05, post-hoc power will inevitably be low—the two are basically circular reasoning. A more practical alternative is to interpret the 95% confidence interval alongside MCID, which aligns with the latest 2022 Cochrane GRADE guidelines.</description></item><item><title>&lt;Systematic Review Workshop&gt; Takeaway 1: Do we use PICO for diagnostic, prognostic, and harmfulness studies?</title><link>https://drpwchen.com/en/posts/systematic-review-workshop-1-pico/</link><pubDate>Thu, 13 Dec 2018 06:43:00 +0000</pubDate><guid>https://drpwchen.com/en/posts/systematic-review-workshop-1-pico/</guid><description>PICO is actually only suitable for therapeutic studies. For diagnostic studies, change it to PIGO (adding Gold standard); for harmfulness studies, use PEO (random assignment is impossible due to ethical concerns); for prognostic studies, just PO is needed. This was the most rewarding lesson from Prof. Edwin Chan of Cochrane Singapore&amp;#39;s workshop. You need to figure out the study type before setting your keywords so your search can be precise.</description></item><item><title>Systematic Review Workshop Takeaway 2: Are Few Search Results a Sign of a Good Search Strategy?</title><link>https://drpwchen.com/en/posts/systematic-review-workshop-2-search/</link><pubDate>Wed, 12 Dec 2018 11:55:00 +0000</pubDate><guid>https://drpwchen.com/en/posts/systematic-review-workshop-2-search/</guid><description>Getting only 5 papers in your search results doesn&amp;#39;t mean your search was highly accurate—you might have missed a lot of important articles instead. When you get too many results, use title search, filter, and NOT to narrow things down; when there are too few, use MeSH terms, similar articles, or free text to broaden your criteria. Mastering the trade-off between sensitivity and specificity is the only way to find the literature you actually need.</description></item></channel></rss>