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	<title>Comments on: Pools of blood</title>
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	<link>http://www.badscience.net/2008/05/pools-of-blood/</link>
	<description>Ben Goldacre&#039;s Bad Science column from the Guardian and more...</description>
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		<title>By: defectivebrain</title>
		<link>http://www.badscience.net/2008/05/pools-of-blood/comment-page-1/#comment-21227</link>
		<dc:creator>defectivebrain</dc:creator>
		<pubDate>Mon, 23 Jun 2008 16:06:02 +0000</pubDate>
		<guid isPermaLink="false">http://www.badscience.net/?p=683#comment-21227</guid>
		<description>I blogged about fake blood in January, and described some of the science behind the various designs of faker blood.

http://defectivebrain.blogspot.com/2008/01/fake-blood-this-is-hospital-not-horror.html

I tried to be as positive as possible about it, but the quest to make fake blood is fraught with difficulty.

Real blood is cheaper, proven to work, and is commonly available.</description>
		<content:encoded><![CDATA[<p>I blogged about fake blood in January, and described some of the science behind the various designs of faker blood.</p>
<p><a href="http://defectivebrain.blogspot.com/2008/01/fake-blood-this-is-hospital-not-horror.html" rel="nofollow">defectivebrain.blogspot.com/2008/01/fake-blood-this-is-hospital-not-horror.html</a></p>
<p>I tried to be as positive as possible about it, but the quest to make fake blood is fraught with difficulty.</p>
<p>Real blood is cheaper, proven to work, and is commonly available.</p>
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		<title>By: david spiegelhalter</title>
		<link>http://www.badscience.net/2008/05/pools-of-blood/comment-page-1/#comment-21012</link>
		<dc:creator>david spiegelhalter</dc:creator>
		<pubDate>Tue, 03 Jun 2008 14:18:49 +0000</pubDate>
		<guid isPermaLink="false">http://www.badscience.net/?p=683#comment-21012</guid>
		<description>In reply to Ben&#039;s concern about optional stopping in cumulative meta-analysis, and Bob O&#039;H&#039;s comment that it can&#039;t be difficult to deal with, Yusuf and Pogue showed how to do it in 1997 in their paper &lt;a href=&quot;http://www.journals.elsevierhealth.com/periodicals/cct/article/S0197-2456(97)00051-2/abstract&quot; rel=&quot;nofollow&quot;&gt;Cumulating evidence from randomized trials: Utilizing sequential monitoring boundaries for cumulative meta-analysis&lt;/a&gt;.  And for those who don&#039;t like sequential analysis, we could get similar results if we took a Bayesian approach and added a little bit of scepticism at the beginning.</description>
		<content:encoded><![CDATA[<p>In reply to Ben&#8217;s concern about optional stopping in cumulative meta-analysis, and Bob O&#8217;H's comment that it can&#8217;t be difficult to deal with, Yusuf and Pogue showed how to do it in 1997 in their paper <a href="http://www.journals.elsevierhealth.com/periodicals/cct/article/S0197-2456(97)00051-2/abstract" rel="nofollow">Cumulating evidence from randomized trials: Utilizing sequential monitoring boundaries for cumulative meta-analysis</a>.  And for those who don&#8217;t like sequential analysis, we could get similar results if we took a Bayesian approach and added a little bit of scepticism at the beginning.</p>
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		<title>By: Robert Carnegie</title>
		<link>http://www.badscience.net/2008/05/pools-of-blood/comment-page-1/#comment-20773</link>
		<dc:creator>Robert Carnegie</dc:creator>
		<pubDate>Tue, 13 May 2008 00:36:45 +0000</pubDate>
		<guid isPermaLink="false">http://www.badscience.net/?p=683#comment-20773</guid>
		<description>There were two topics in the article; the dangers of artificial blood products, and the wonderfulness of meta-analysis.  I think meta-analysis has potential weaknesses as I suggested, not necessarily so much in this particular case.  But in the depression and SSRI meta-analysis, I as a sometime patient am dissatisfied with meta-analysis that treats the pill I&#039;m taking and the other pills that I am not taking but other people are, as the same.  It occurs to me sceptically that it allows the meta-analysing scientist to have a bigger sample and superficially better statistical precision and apparent scientific validity, whereas if they only counted say fluoxetine then it would be a smaller meta-experiment but excluding data arguably irrelevant to fluoxetine users.</description>
		<content:encoded><![CDATA[<p>There were two topics in the article; the dangers of artificial blood products, and the wonderfulness of meta-analysis.  I think meta-analysis has potential weaknesses as I suggested, not necessarily so much in this particular case.  But in the depression and SSRI meta-analysis, I as a sometime patient am dissatisfied with meta-analysis that treats the pill I&#8217;m taking and the other pills that I am not taking but other people are, as the same.  It occurs to me sceptically that it allows the meta-analysing scientist to have a bigger sample and superficially better statistical precision and apparent scientific validity, whereas if they only counted say fluoxetine then it would be a smaller meta-experiment but excluding data arguably irrelevant to fluoxetine users.</p>
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		<title>By: used to be jdc</title>
		<link>http://www.badscience.net/2008/05/pools-of-blood/comment-page-1/#comment-20772</link>
		<dc:creator>used to be jdc</dc:creator>
		<pubDate>Mon, 12 May 2008 15:54:47 +0000</pubDate>
		<guid isPermaLink="false">http://www.badscience.net/?p=683#comment-20772</guid>
		<description>I think I&#039;m going to start a campaign to get newspapers to use blobbograms and provide references</description>
		<content:encoded><![CDATA[<p>I think I&#8217;m going to start a campaign to get newspapers to use blobbograms and provide references</p>
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		<title>By: Nick Bland</title>
		<link>http://www.badscience.net/2008/05/pools-of-blood/comment-page-1/#comment-20771</link>
		<dc:creator>Nick Bland</dc:creator>
		<pubDate>Mon, 12 May 2008 15:50:08 +0000</pubDate>
		<guid isPermaLink="false">http://www.badscience.net/?p=683#comment-20771</guid>
		<description>The risk of infection from donated blood is small (until something new comes along that we don&#039;t screen for e.g. HIV) but that risk is not &quot;built into&quot; this study as data was only collected for up to 30 days after infection. Any infection that takes longer to kill you or is debilitating to one extent or another will not be included in this data. 
I don&#039;t think this really detracts from the point of the paper but as soon as a paper becomes a news story its important to point out the restrictions of the studies. these restrictions are usually freely acknowledge by the authors but rarely by journalists (no offence to any journalists inteneded)</description>
		<content:encoded><![CDATA[<p>The risk of infection from donated blood is small (until something new comes along that we don&#8217;t screen for e.g. HIV) but that risk is not &#8220;built into&#8221; this study as data was only collected for up to 30 days after infection. Any infection that takes longer to kill you or is debilitating to one extent or another will not be included in this data.<br />
I don&#8217;t think this really detracts from the point of the paper but as soon as a paper becomes a news story its important to point out the restrictions of the studies. these restrictions are usually freely acknowledge by the authors but rarely by journalists (no offence to any journalists inteneded)</p>
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		<title>By: Delster</title>
		<link>http://www.badscience.net/2008/05/pools-of-blood/comment-page-1/#comment-20770</link>
		<dc:creator>Delster</dc:creator>
		<pubDate>Mon, 12 May 2008 11:20:20 +0000</pubDate>
		<guid isPermaLink="false">http://www.badscience.net/?p=683#comment-20770</guid>
		<description>@nick_127

There is of course a risk of infections etc from donated blood products but there are processes in places to ensure the risk is as low as possible.

Where the meta-analysis compares artificial vs real blood product this risk is already incorporated into the trial as the real product comes with this risk built in as it were.

I think one idea that should be used is for patients with planned surgery should make donations in advance so they get their own blood back. No risk of rejection / incompatability there but it&#039;s not something i&#039;ve heard being offered.

Obviously ER type trauma will not have this option which is why i&#039;ll keep giving blood :-)</description>
		<content:encoded><![CDATA[<p>@nick_127</p>
<p>There is of course a risk of infections etc from donated blood products but there are processes in places to ensure the risk is as low as possible.</p>
<p>Where the meta-analysis compares artificial vs real blood product this risk is already incorporated into the trial as the real product comes with this risk built in as it were.</p>
<p>I think one idea that should be used is for patients with planned surgery should make donations in advance so they get their own blood back. No risk of rejection / incompatability there but it&#8217;s not something i&#8217;ve heard being offered.</p>
<p>Obviously ER type trauma will not have this option which is why i&#8217;ll keep giving blood <img src='http://www.badscience.net/wp-includes/images/smilies/icon_smile.gif' alt=':-)' class='wp-smiley' /> </p>
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		<title>By: muscleman</title>
		<link>http://www.badscience.net/2008/05/pools-of-blood/comment-page-1/#comment-20767</link>
		<dc:creator>muscleman</dc:creator>
		<pubDate>Sun, 11 May 2008 18:20:25 +0000</pubDate>
		<guid isPermaLink="false">http://www.badscience.net/?p=683#comment-20767</guid>
		<description>The New Scientist article was more about the risks of routine blood transfusions to boost haematocrit than emergency room transfusions after massive injury. So a different question is being asked in that work vs the cumulative analysis your article is about. The suggestion is that maybe transfusions are not as risk free as we thought and gives some possible reasons like stiffness of stored erythrocites, cytokines and low NO2 levels.

A sidebar makes the point that the JW&#039;s insistence on bloodless surgery has shown that many transfusions during or post surgery are avoidable. The religious can have their uses ;-)</description>
		<content:encoded><![CDATA[<p>The New Scientist article was more about the risks of routine blood transfusions to boost haematocrit than emergency room transfusions after massive injury. So a different question is being asked in that work vs the cumulative analysis your article is about. The suggestion is that maybe transfusions are not as risk free as we thought and gives some possible reasons like stiffness of stored erythrocites, cytokines and low NO2 levels.</p>
<p>A sidebar makes the point that the JW&#8217;s insistence on bloodless surgery has shown that many transfusions during or post surgery are avoidable. The religious can have their uses <img src='http://www.badscience.net/wp-includes/images/smilies/icon_wink.gif' alt=';-)' class='wp-smiley' /> </p>
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		<title>By: Ben Goldacre</title>
		<link>http://www.badscience.net/2008/05/pools-of-blood/comment-page-1/#comment-20765</link>
		<dc:creator>Ben Goldacre</dc:creator>
		<pubDate>Sun, 11 May 2008 16:00:30 +0000</pubDate>
		<guid isPermaLink="false">http://www.badscience.net/?p=683#comment-20765</guid>
		<description>mm

i think what you might be missing is that the majority of patients pooled in this meta-analysis were from trials comparing artificial blood with normal transfusion blood products (6/16 RCTs but the two biggest trials by far were using blood as a control)

http://jama.ama-assn.org/cgi/content/full/299.19.jrv80007v1/JRV80007T2</description>
		<content:encoded><![CDATA[<p>mm</p>
<p>i think what you might be missing is that the majority of patients pooled in this meta-analysis were from trials comparing artificial blood with normal transfusion blood products (6/16 RCTs but the two biggest trials by far were using blood as a control)</p>
<p><a href="http://jama.ama-assn.org/cgi/content/full/299.19.jrv80007v1/JRV80007T2" rel="nofollow">jama.ama-assn.org/cgi/content/full/299.19.jrv80007v1/JRV80007T2</a></p>
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		<title>By: nick_127</title>
		<link>http://www.badscience.net/2008/05/pools-of-blood/comment-page-1/#comment-20764</link>
		<dc:creator>nick_127</dc:creator>
		<pubDate>Sun, 11 May 2008 14:54:53 +0000</pubDate>
		<guid isPermaLink="false">http://www.badscience.net/?p=683#comment-20764</guid>
		<description>&quot;Real&quot; blood products may not be that safe either, and I don&#039;t just mean because of the risks of BBIs.  New Scientist ran an article in their 26th of April edition (UK)about the increased risk of death following blood transfusions. The article mentions several studies but only references 3 properly. I&#039;m an amateur science geek so I haven&#039;t got an ATHENS or MEDLINE account, but the references are below for anyone who has.

Journal of the American Medical Association, vol 292, p1555.

Circulation, vol 116, p2544.

The New England Journal of Medicine, vol 358, p1229.</description>
		<content:encoded><![CDATA[<p>&#8220;Real&#8221; blood products may not be that safe either, and I don&#8217;t just mean because of the risks of BBIs.  New Scientist ran an article in their 26th of April edition (UK)about the increased risk of death following blood transfusions. The article mentions several studies but only references 3 properly. I&#8217;m an amateur science geek so I haven&#8217;t got an ATHENS or MEDLINE account, but the references are below for anyone who has.</p>
<p>Journal of the American Medical Association, vol 292, p1555.</p>
<p>Circulation, vol 116, p2544.</p>
<p>The New England Journal of Medicine, vol 358, p1229.</p>
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		<title>By: sakent</title>
		<link>http://www.badscience.net/2008/05/pools-of-blood/comment-page-1/#comment-20760</link>
		<dc:creator>sakent</dc:creator>
		<pubDate>Sat, 10 May 2008 21:43:07 +0000</pubDate>
		<guid isPermaLink="false">http://www.badscience.net/?p=683#comment-20760</guid>
		<description>What are the risks of using donor blood (eg infection) and do the risks of using artificial substitutes outweight this?</description>
		<content:encoded><![CDATA[<p>What are the risks of using donor blood (eg infection) and do the risks of using artificial substitutes outweight this?</p>
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		<title>By: Ben Goldacre</title>
		<link>http://www.badscience.net/2008/05/pools-of-blood/comment-page-1/#comment-20758</link>
		<dc:creator>Ben Goldacre</dc:creator>
		<pubDate>Sat, 10 May 2008 11:51:23 +0000</pubDate>
		<guid isPermaLink="false">http://www.badscience.net/?p=683#comment-20758</guid>
		<description>i’m surprised you think these trials weren’t comparable for the purpose of a meta-analysis looking at death. they were all trials comparing similar products against control (eg donor blood), and they pooled the deaths and heart attacks.

here is the blobbogram which you may not have looked at. 

&lt;img src=&quot;http://www.badscience.net/wp-content/uploads/clip-image002.jpg&quot; alt=&quot;&quot; /&gt;

i think it&#039;s really rather persuasive that there was a hint of danger in almost all the trials which only became statistically significant in a meta-analysis.

the cumulative meta-analysis moreso:

&lt;img src=&quot;http://www.badscience.net/wp-content/uploads/clip-image0025.jpg&quot; alt=&quot;&quot; /&gt;

these are potentially useful products in cases where no donor blood is available, eg a battlefield, but i certainly wouldn’t choose them over donor blood for myself.

you’re welcome to, and i wish you the very best of luck!

</description>
		<content:encoded><![CDATA[<p>i’m surprised you think these trials weren’t comparable for the purpose of a meta-analysis looking at death. they were all trials comparing similar products against control (eg donor blood), and they pooled the deaths and heart attacks.</p>
<p>here is the blobbogram which you may not have looked at. </p>
<p><img src="http://www.badscience.net/wp-content/uploads/clip-image002.jpg" alt="" /></p>
<p>i think it&#8217;s really rather persuasive that there was a hint of danger in almost all the trials which only became statistically significant in a meta-analysis.</p>
<p>the cumulative meta-analysis moreso:</p>
<p><img src="http://www.badscience.net/wp-content/uploads/clip-image0025.jpg" alt="" /></p>
<p>these are potentially useful products in cases where no donor blood is available, eg a battlefield, but i certainly wouldn’t choose them over donor blood for myself.</p>
<p>you’re welcome to, and i wish you the very best of luck!</p>
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		<title>By: Robert Carnegie</title>
		<link>http://www.badscience.net/2008/05/pools-of-blood/comment-page-1/#comment-20756</link>
		<dc:creator>Robert Carnegie</dc:creator>
		<pubDate>Sat, 10 May 2008 09:41:28 +0000</pubDate>
		<guid isPermaLink="false">http://www.badscience.net/?p=683#comment-20756</guid>
		<description>I may have forgotten why it is that &quot;We laugh at people who stop a 6 month trial at 4 and a half months because they got a good result, like we laugh at people who extend a 6 month trial to 12 months because the results aren’t positive.&quot;  What&#039;s funny?

Can&#039;t it be said that a trial is looking for a signal, positive or negative, strong or weak - and statistical detection of the signal may come sooner or later?

Or is it that the 4 and a half month trial will for instance miss subjects who suddenly die after 5-6 months, or that changing the rules during a trial is cheating and is not statistically valid, or that one trial isn&#039;t important enough to justify such a decision anyway, it&#039;s the meta-analysis of different experimenters&#039; trials that matters?

I want to mention some other problems that I perceive: meta-analysis may be lumping together different data, as in this case where any or all artificial blood products or blood substitutes may be covered, regardless of their differences (I presume there are differences) - I suppose there is an argument for carefully designing trials to be compatible in meta-analysis; and when successive runs of the same cumulative meta-analysis are published to the general public, it may be perceived as new evidence each time, huge trials of hundreds of thousands of subjects.  But meta-analysis is not new data at all, that&#039;s the point, and this year&#039;s cumulative meta-analysis is not itself to be added to last year&#039;s cumulative meta-analysis, last year&#039;s goes in the bin and is replaced by the new one.  There also is a danger that either a trend will be perceived in cumulative meta-analysis, so that a future value is expected to lie beyond the range of reported meaurements - say you report 1.4, 1.5, 1.55, people expect you to keep going up to 1.7 or 1.8 but the true prediction is the latest actual value, the 1.55.  Conversely, if you say that more research is needed, people may expect your finding to be confounded.

One other thing - if trials separated by long times are compared, what about variables that you haven&#039;t accounted for?  We live different lives to previous generations - passive smoking and lead in petrol have come and gone, we&#039;re more obese, we have different vaccinations, we&#039;re exposed to ozone and fine dust from computer printers and copiers, the planet&#039;s magnetic field is weaker.  Of course trials include a control group that is subject to all the same factors except for what the trial is for, but is that enough?  Should older trials be weighted lower, treated as stale?</description>
		<content:encoded><![CDATA[<p>I may have forgotten why it is that &#8220;We laugh at people who stop a 6 month trial at 4 and a half months because they got a good result, like we laugh at people who extend a 6 month trial to 12 months because the results aren’t positive.&#8221;  What&#8217;s funny?</p>
<p>Can&#8217;t it be said that a trial is looking for a signal, positive or negative, strong or weak &#8211; and statistical detection of the signal may come sooner or later?</p>
<p>Or is it that the 4 and a half month trial will for instance miss subjects who suddenly die after 5-6 months, or that changing the rules during a trial is cheating and is not statistically valid, or that one trial isn&#8217;t important enough to justify such a decision anyway, it&#8217;s the meta-analysis of different experimenters&#8217; trials that matters?</p>
<p>I want to mention some other problems that I perceive: meta-analysis may be lumping together different data, as in this case where any or all artificial blood products or blood substitutes may be covered, regardless of their differences (I presume there are differences) &#8211; I suppose there is an argument for carefully designing trials to be compatible in meta-analysis; and when successive runs of the same cumulative meta-analysis are published to the general public, it may be perceived as new evidence each time, huge trials of hundreds of thousands of subjects.  But meta-analysis is not new data at all, that&#8217;s the point, and this year&#8217;s cumulative meta-analysis is not itself to be added to last year&#8217;s cumulative meta-analysis, last year&#8217;s goes in the bin and is replaced by the new one.  There also is a danger that either a trend will be perceived in cumulative meta-analysis, so that a future value is expected to lie beyond the range of reported meaurements &#8211; say you report 1.4, 1.5, 1.55, people expect you to keep going up to 1.7 or 1.8 but the true prediction is the latest actual value, the 1.55.  Conversely, if you say that more research is needed, people may expect your finding to be confounded.</p>
<p>One other thing &#8211; if trials separated by long times are compared, what about variables that you haven&#8217;t accounted for?  We live different lives to previous generations &#8211; passive smoking and lead in petrol have come and gone, we&#8217;re more obese, we have different vaccinations, we&#8217;re exposed to ozone and fine dust from computer printers and copiers, the planet&#8217;s magnetic field is weaker.  Of course trials include a control group that is subject to all the same factors except for what the trial is for, but is that enough?  Should older trials be weighted lower, treated as stale?</p>
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		<title>By: Munin</title>
		<link>http://www.badscience.net/2008/05/pools-of-blood/comment-page-1/#comment-20755</link>
		<dc:creator>Munin</dc:creator>
		<pubDate>Sat, 10 May 2008 07:56:58 +0000</pubDate>
		<guid isPermaLink="false">http://www.badscience.net/?p=683#comment-20755</guid>
		<description>In case anyone else was wondering, the offending paragraph in the Guardian reads:

&quot;Cumulative meta-analyses have saved countless lives, and they could save many more. They are clever and they are fascinating. They are the same tools you hear rubbished by big pharma, by homeopaths and by lobbyists from the $56bn food supplement industry. And you will never find them celebrated, anywhere, in popular culture.&quot;

I assume the error concerns the first sentence, where they replaced &quot;Ideas like cumulative meta-analysis from the world of evidence&quot; with &quot;Cumulative meta-analyses&quot;.

They also replaced &quot;But&quot; with &quot;And&quot; in the final sentence. Somehow this scans better but I don&#039;t know why.

Munin - visiting the Guardian website so you don&#039;t have to. Oh, on you go then.
http://www.guardian.co.uk/science/2008/may/10/medicalresearch.health</description>
		<content:encoded><![CDATA[<p>In case anyone else was wondering, the offending paragraph in the Guardian reads:</p>
<p>&#8220;Cumulative meta-analyses have saved countless lives, and they could save many more. They are clever and they are fascinating. They are the same tools you hear rubbished by big pharma, by homeopaths and by lobbyists from the $56bn food supplement industry. And you will never find them celebrated, anywhere, in popular culture.&#8221;</p>
<p>I assume the error concerns the first sentence, where they replaced &#8220;Ideas like cumulative meta-analysis from the world of evidence&#8221; with &#8220;Cumulative meta-analyses&#8221;.</p>
<p>They also replaced &#8220;But&#8221; with &#8220;And&#8221; in the final sentence. Somehow this scans better but I don&#8217;t know why.</p>
<p>Munin &#8211; visiting the Guardian website so you don&#8217;t have to. Oh, on you go then.<br />
<a href="http://www.guardian.co.uk/science/2008/may/10/medicalresearch.health" rel="nofollow">www.guardian.co.uk/science/2008/may/10/medicalresearch.health</a></p>
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		<title>By: Bob O'H</title>
		<link>http://www.badscience.net/2008/05/pools-of-blood/comment-page-1/#comment-20754</link>
		<dc:creator>Bob O'H</dc:creator>
		<pubDate>Sat, 10 May 2008 04:17:48 +0000</pubDate>
		<guid isPermaLink="false">http://www.badscience.net/?p=683#comment-20754</guid>
		<description>2We laugh at people who stop a 6 month trial at 4 and a half months because they got a good result, like we laugh at people who extend a 6 month trial to 12 months because the results aren’t positive.&quot;

There is enough statistical theory on sequential trials to go round: if it hasn&#039;t been done already, someone could adapt the ideas to meta-analyses.  I guess it&#039;ll be pretty straightforward.</description>
		<content:encoded><![CDATA[<p>2We laugh at people who stop a 6 month trial at 4 and a half months because they got a good result, like we laugh at people who extend a 6 month trial to 12 months because the results aren’t positive.&#8221;</p>
<p>There is enough statistical theory on sequential trials to go round: if it hasn&#8217;t been done already, someone could adapt the ideas to meta-analyses.  I guess it&#8217;ll be pretty straightforward.</p>
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