<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
		>
<channel>
	<title>Comments on: Medical Study Biases</title>
	<atom:link href="http://www.overcomingbias.com/2007/02/medical_study_b.html/feed" rel="self" type="application/rss+xml" />
	<link>http://www.overcomingbias.com/2007/02/medical_study_b.html</link>
	<description>Overcoming Bias is economist Robin Hanson’s blog, on honesty, signaling, disagreement, forecasting, and the far future.</description>
	<lastBuildDate>Thu, 18 Mar 2010 19:46:22 -0400</lastBuildDate>
	<generator>http://wordpress.org/?v=2.8.5</generator>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
		<item>
		<title>By: Rick Davidson</title>
		<link>http://www.overcomingbias.com/2007/02/medical_study_b.html#comment-421589</link>
		<dc:creator>Rick Davidson</dc:creator>
		<pubDate>Sun, 04 Mar 2007 11:32:37 +0000</pubDate>
		<guid isPermaLink="false">http://prod.ob.trike.com.au/2007/02/medical-study-biases.html#comment-421589</guid>
		<description>Nope, I know it doesn&#039;t happen on a large scale. It doesn&#039;t even happen in the academic medical center where I practice, at least much of the time. Just read the article quoted in the other EBM thread about Dan Merenstein if you have any doubts...but since my job is to convince medical students that they need to practice that way, all I can do is point them in the right direction. Introduce them to evidence-based clinical guidelines, teach them how to critically read and be skeptical...the fact is, right or wrong, that variability in practice may be disappearing for the wrong reason...through issues of managed care and cost control. But decreasing the variability of practice patterns, using the Dartmouth index effectively, and paying attention to current literature will improve the quality of medical care. It&#039;s the &quot;one day&quot; I&#039;m aiming for...but I do believe that the situation has improved a great deal in the 25 years I&#039;ve been teaching. In my course we use small group teaching for half the content, reading current articles. Among my small group teachers are the head of the lung transplant program, the division chief of GI, a former dean of the medical school, the department chair of family medicine, and assorted hematologists, rheumatologists, a urologist, and a medicine chief resident. Not one of these teachers have had formal training in EBM....they all are committed to critical reading of the literature and implementing it in their practice. That has an effect on students regarding the relevance of the content. I frequently have graduates come up and tell me that they have continued reading in their practices. I think things are changing.
</description>
		<content:encoded><![CDATA[<p>Nope, I know it doesn&#8217;t happen on a large scale. It doesn&#8217;t even happen in the academic medical center where I practice, at least much of the time. Just read the article quoted in the other EBM thread about Dan Merenstein if you have any doubts&#8230;but since my job is to convince medical students that they need to practice that way, all I can do is point them in the right direction. Introduce them to evidence-based clinical guidelines, teach them how to critically read and be skeptical&#8230;the fact is, right or wrong, that variability in practice may be disappearing for the wrong reason&#8230;through issues of managed care and cost control. But decreasing the variability of practice patterns, using the Dartmouth index effectively, and paying attention to current literature will improve the quality of medical care. It&#8217;s the &#8220;one day&#8221; I&#8217;m aiming for&#8230;but I do believe that the situation has improved a great deal in the 25 years I&#8217;ve been teaching. In my course we use small group teaching for half the content, reading current articles. Among my small group teachers are the head of the lung transplant program, the division chief of GI, a former dean of the medical school, the department chair of family medicine, and assorted hematologists, rheumatologists, a urologist, and a medicine chief resident. Not one of these teachers have had formal training in EBM&#8230;.they all are committed to critical reading of the literature and implementing it in their practice. That has an effect on students regarding the relevance of the content. I frequently have graduates come up and tell me that they have continued reading in their practices. I think things are changing.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: david</title>
		<link>http://www.overcomingbias.com/2007/02/medical_study_b.html#comment-421588</link>
		<dc:creator>david</dc:creator>
		<pubDate>Sun, 04 Mar 2007 04:34:36 +0000</pubDate>
		<guid isPermaLink="false">http://prod.ob.trike.com.au/2007/02/medical-study-biases.html#comment-421588</guid>
		<description>I&#039;m sorry, were you laboring under the impression that the actual practice of medicine by physicians
is based on science, evidence, and empirical thinking? That would be a revolution. In practice,
what a doc does to determine how to treat a patient does not involve a hardcore look into the data
or results of the clinical studies. I mean, there&#039;s some communication pipeline that tells docs how
they should diagnose things and treat things under certain circumstances, but it is not a critical
lens around the clinical trials. Did you really think that that happens on a large scale? Are you
joking? Maybe one day.
</description>
		<content:encoded><![CDATA[<p>I&#8217;m sorry, were you laboring under the impression that the actual practice of medicine by physicians<br />
is based on science, evidence, and empirical thinking? That would be a revolution. In practice,<br />
what a doc does to determine how to treat a patient does not involve a hardcore look into the data<br />
or results of the clinical studies. I mean, there&#8217;s some communication pipeline that tells docs how<br />
they should diagnose things and treat things under certain circumstances, but it is not a critical<br />
lens around the clinical trials. Did you really think that that happens on a large scale? Are you<br />
joking? Maybe one day.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Rick Davidson</title>
		<link>http://www.overcomingbias.com/2007/02/medical_study_b.html#comment-421587</link>
		<dc:creator>Rick Davidson</dc:creator>
		<pubDate>Sat, 03 Mar 2007 11:08:37 +0000</pubDate>
		<guid isPermaLink="false">http://prod.ob.trike.com.au/2007/02/medical-study-biases.html#comment-421587</guid>
		<description>I suppose that if you could find a large enough number of non-randomized trials, or unblinded trials, you could construct some kind of summary &quot;error&quot;...and in fact, just like the financial support issue, the results would likely show a systematic error, as opposed to a random one. I remember studies done at least twenty years ago that showed these errors with controlled vs uncontrolled studies, and they ALWAYS show a greater benefit without controls. Interesting concept....not sure how feasible, but it would be interesting to try.
</description>
		<content:encoded><![CDATA[<p>I suppose that if you could find a large enough number of non-randomized trials, or unblinded trials, you could construct some kind of summary &#8220;error&#8221;&#8230;and in fact, just like the financial support issue, the results would likely show a systematic error, as opposed to a random one. I remember studies done at least twenty years ago that showed these errors with controlled vs uncontrolled studies, and they ALWAYS show a greater benefit without controls. Interesting concept&#8230;.not sure how feasible, but it would be interesting to try.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Robin Hanson</title>
		<link>http://www.overcomingbias.com/2007/02/medical_study_b.html#comment-421586</link>
		<dc:creator>Robin Hanson</dc:creator>
		<pubDate>Fri, 02 Mar 2007 13:54:14 +0000</pubDate>
		<guid isPermaLink="false">http://prod.ob.trike.com.au/2007/02/medical-study-biases.html#comment-421586</guid>
		<description>Rick, your comments better address correlations of results with funding source than correlations of results with room for fudging, or the high rate of failure to replicate.
</description>
		<content:encoded><![CDATA[<p>Rick, your comments better address correlations of results with funding source than correlations of results with room for fudging, or the high rate of failure to replicate.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Rick Davidson</title>
		<link>http://www.overcomingbias.com/2007/02/medical_study_b.html#comment-421585</link>
		<dc:creator>Rick Davidson</dc:creator>
		<pubDate>Fri, 02 Mar 2007 10:08:54 +0000</pubDate>
		<guid isPermaLink="false">http://prod.ob.trike.com.au/2007/02/medical-study-biases.html#comment-421585</guid>
		<description>To the best of my knowledge, I published the first study to look at the association of industry funding with the outcome of published studies (http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&amp;cmd=Retrieve&amp;dopt=AbstractPlus&amp;list_uids=3772583&amp;query_hl=1&amp;itool=pubmed_DocSum). I have spoken on this issue for years at workshops and academic health centers. From the practical standpoint, the best I can do is alert students to the significant risk of bias. The literature has improved since the mid &#039;80&#039;s in terms of required acknowledgments and more careful attention to the problem. There are alternative explanations for the associations noted, other than purposeful (or unconcious) bias. Many drug studies involve drugs that have already been investigated in other countries and have been found to be effective. Studies that appear to be heading in the wrong direction may be discontinued by the company before the sample size is adequate to make the results publishable. There is always the possibility of publication bias that keeps negative studies out of the literature. Many investigators who undertake drug studies for companies have no particular interest in publishing the results. And, there are documented examples of investigators who were pressured by companies to not publish negative results. Trying to put a corrective factor on the amount of bias involved is an interesting suggestion....and could probably be determined for a large number of studies. The results, just like all grouped results, could not determine if an individual study is biased in this manner, but could provide an estimate for general use.
</description>
		<content:encoded><![CDATA[<p>To the best of my knowledge, I published the first study to look at the association of industry funding with the outcome of published studies (<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&#038;cmd=Retrieve&#038;dopt=AbstractPlus&#038;list_uids=3772583&#038;query_hl=1&#038;itool=pubmed_DocSum)" rel="nofollow">http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&#038;cmd=Retrieve&#038;dopt=AbstractPlus&#038;list_uids=3772583&#038;query_hl=1&#038;itool=pubmed_DocSum)</a>. I have spoken on this issue for years at workshops and academic health centers. From the practical standpoint, the best I can do is alert students to the significant risk of bias. The literature has improved since the mid &#8217;80&#8217;s in terms of required acknowledgments and more careful attention to the problem. There are alternative explanations for the associations noted, other than purposeful (or unconcious) bias. Many drug studies involve drugs that have already been investigated in other countries and have been found to be effective. Studies that appear to be heading in the wrong direction may be discontinued by the company before the sample size is adequate to make the results publishable. There is always the possibility of publication bias that keeps negative studies out of the literature. Many investigators who undertake drug studies for companies have no particular interest in publishing the results. And, there are documented examples of investigators who were pressured by companies to not publish negative results. Trying to put a corrective factor on the amount of bias involved is an interesting suggestion&#8230;.and could probably be determined for a large number of studies. The results, just like all grouped results, could not determine if an individual study is biased in this manner, but could provide an estimate for general use.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Douglas Knight</title>
		<link>http://www.overcomingbias.com/2007/02/medical_study_b.html#comment-421584</link>
		<dc:creator>Douglas Knight</dc:creator>
		<pubDate>Fri, 02 Mar 2007 02:58:47 +0000</pubDate>
		<guid isPermaLink="false">http://prod.ob.trike.com.au/2007/02/medical-study-biases.html#comment-421584</guid>
		<description>&lt;em&gt;moved the significance level to 0.001&lt;/em&gt;

I think a suggestion like that is pretty much meaningless in isolation. The result of such a change would be heavily dependent on how it came about. Two failure modes are increased fraud and the cessation of medical research publication (and/or FDA approval). Done right, it could improve things. But simply convincing people that such significant studies on things people think they know would be an improvement, without touching the bad studies.
</description>
		<content:encoded><![CDATA[<p><em>moved the significance level to 0.001</em></p>
<p>I think a suggestion like that is pretty much meaningless in isolation. The result of such a change would be heavily dependent on how it came about. Two failure modes are increased fraud and the cessation of medical research publication (and/or FDA approval). Done right, it could improve things. But simply convincing people that such significant studies on things people think they know would be an improvement, without touching the bad studies.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: pdf23ds</title>
		<link>http://www.overcomingbias.com/2007/02/medical_study_b.html#comment-421583</link>
		<dc:creator>pdf23ds</dc:creator>
		<pubDate>Fri, 02 Mar 2007 01:56:57 +0000</pubDate>
		<guid isPermaLink="false">http://prod.ob.trike.com.au/2007/02/medical-study-biases.html#comment-421583</guid>
		<description>&quot;Bruce, for any biased estimate of anything, if you know something about the sign of the bias you should be able to correct it to produce a less biased estimate.&quot;

You also have to have some idea about the magnitude of the bias. Otherwise you have no idea whether you&#039;re overcorrecting or not.
</description>
		<content:encoded><![CDATA[<p>&#8220;Bruce, for any biased estimate of anything, if you know something about the sign of the bias you should be able to correct it to produce a less biased estimate.&#8221;</p>
<p>You also have to have some idea about the magnitude of the bias. Otherwise you have no idea whether you&#8217;re overcorrecting or not.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Doug S.</title>
		<link>http://www.overcomingbias.com/2007/02/medical_study_b.html#comment-421582</link>
		<dc:creator>Doug S.</dc:creator>
		<pubDate>Thu, 01 Mar 2007 17:59:57 +0000</pubDate>
		<guid isPermaLink="false">http://prod.ob.trike.com.au/2007/02/medical-study-biases.html#comment-421582</guid>
		<description>Yeah, one in twenty medical studies will produce statistically significant results purely by chance.
</description>
		<content:encoded><![CDATA[<p>Yeah, one in twenty medical studies will produce statistically significant results purely by chance.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: dearieme</title>
		<link>http://www.overcomingbias.com/2007/02/medical_study_b.html#comment-421581</link>
		<dc:creator>dearieme</dc:creator>
		<pubDate>Thu, 01 Mar 2007 16:41:44 +0000</pubDate>
		<guid isPermaLink="false">http://prod.ob.trike.com.au/2007/02/medical-study-biases.html#comment-421581</guid>
		<description>A friend who spent most of his career in science at Cambridge advocates the rule of thumb &quot;Medical research is rubbish&quot;.
</description>
		<content:encoded><![CDATA[<p>A friend who spent most of his career in science at Cambridge advocates the rule of thumb &#8220;Medical research is rubbish&#8221;.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Eliezer Yudkowsky</title>
		<link>http://www.overcomingbias.com/2007/02/medical_study_b.html#comment-421580</link>
		<dc:creator>Eliezer Yudkowsky</dc:creator>
		<pubDate>Thu, 01 Mar 2007 02:02:09 +0000</pubDate>
		<guid isPermaLink="false">http://prod.ob.trike.com.au/2007/02/medical-study-biases.html#comment-421580</guid>
		<description>One gets the impression that an awful lot of sociological problems in science would go away if we moved the significance level to 0.001.  Yes, I know it&#039;d be just as arbitrary, but still.
</description>
		<content:encoded><![CDATA[<p>One gets the impression that an awful lot of sociological problems in science would go away if we moved the significance level to 0.001.  Yes, I know it&#8217;d be just as arbitrary, but still.</p>
]]></content:encoded>
	</item>
</channel>
</rss>
