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	<title>《了解胰腺癌，警惕胰腺癌》的评论</title>
	<link>http://xysblogs.org/myblog/archives/5580</link>
	<description>非孤独地行走于江湖中</description>
	<pubDate>Mon, 27 Apr 2026 09:38:12 +0000</pubDate>
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		<title>由：lunette ray ban solde</title>
		<link>http://xysblogs.org/myblog/archives/5580#comment-700547</link>
		<pubDate>Mon, 24 Mar 2014 08:54:29 +0000</pubDate>
		<guid>http://xysblogs.org/myblog/archives/5580#comment-700547</guid>
					<description>&lt;strong&gt;lunette ray ban solde...&lt;/strong&gt;

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		<content:encoded><![CDATA[<p><strong>lunette ray ban solde&#8230;</strong></p>
<p>Quelques periodicals des guarantees accidental injuries contiennent des infos permettant de comprendre les crit猫res et raisonnements tenus dans le but de d茅terminer l&#8217;origine professionnelle des TMS. Ces catalogs ne sont pas tr猫s nombreuses et p&#8230;
</p>
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	<item>
		<title>由：chaussure nike blazer</title>
		<link>http://xysblogs.org/myblog/archives/5580#comment-700543</link>
		<pubDate>Mon, 24 Mar 2014 08:45:19 +0000</pubDate>
		<guid>http://xysblogs.org/myblog/archives/5580#comment-700543</guid>
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		<content:encoded><![CDATA[<p><strong>chaussure nike blazer&#8230;</strong></p>
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	<item>
		<title>由：安いビキニ</title>
		<link>http://xysblogs.org/myblog/archives/5580#comment-612860</link>
		<pubDate>Fri, 02 Aug 2013 11:17:35 +0000</pubDate>
		<guid>http://xysblogs.org/myblog/archives/5580#comment-612860</guid>
					<description>メンズ水着 楽天</description>
		<content:encoded><![CDATA[<p>メンズ水着 楽天
</p>
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	<item>
		<title>由：alpha</title>
		<link>http://xysblogs.org/myblog/archives/5580#comment-26114</link>
		<pubDate>Wed, 12 Aug 2009 09:16:45 +0000</pubDate>
		<guid>http://xysblogs.org/myblog/archives/5580#comment-26114</guid>
					<description>“据统计，烟民患胰腺癌的风险是普通人的两到三倍。”

再看了一下wiki对风险因子的解释，作为一个吸烟者，我释然了。

2到3倍并不多，此外很可能和低收入人群吸烟较多有关...
单是烟民患胰腺癌的比例高2~3倍的统计似乎无法说明吸烟和胰腺癌的关系。</description>
		<content:encoded><![CDATA[<p>“据统计，烟民患胰腺癌的风险是普通人的两到三倍。”</p>
<p>再看了一下wiki对风险因子的解释，作为一个吸烟者，我释然了。</p>
<p>2到3倍并不多，此外很可能和低收入人群吸烟较多有关&#8230;<br />
单是烟民患胰腺癌的比例高2~3倍的统计似乎无法说明吸烟和胰腺癌的关系。
</p>
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		<title>由：准非医</title>
		<link>http://xysblogs.org/myblog/archives/5580#comment-25985</link>
		<pubDate>Tue, 11 Aug 2009 05:16:13 +0000</pubDate>
		<guid>http://xysblogs.org/myblog/archives/5580#comment-25985</guid>
					<description>胰腺癌（大部分是胰头癌）现在也没啥好说的。小概率事件，谁撞上了，认倒霉。

外行写这类文章的一大缺陷就是眉毛胡子一把抓，分不清重点。</description>
		<content:encoded><![CDATA[<p>胰腺癌（大部分是胰头癌）现在也没啥好说的。小概率事件，谁撞上了，认倒霉。</p>
<p>外行写这类文章的一大缺陷就是眉毛胡子一把抓，分不清重点。
</p>
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		<title>由：玲珮玎珰</title>
		<link>http://xysblogs.org/myblog/archives/5580#comment-25591</link>
		<pubDate>Wed, 05 Aug 2009 15:42:19 +0000</pubDate>
		<guid>http://xysblogs.org/myblog/archives/5580#comment-25591</guid>
					<description>alpha: 上面那句话我更改了。风险因子的解释和计算法请参见wiki。

A risk factor is a variable associated with an increased risk of disease or infection. Risk factors are correlational and not necessarily causal, because correlation does not imply causation. For example, being young cannot be said to cause measles, but young people are more at risk as they are less likely to have developed immunity during a previous epidemic.

Risk factors are evaluated by comparing the risk of those exposed to the potential risk factor to those not exposed. Let's say that at a wedding, 74 people ate the chicken and 22 of them were ill, while of the 35 people who had the fish or vegetarian meal only 2 were ill. Did the chicken make the people ill?

    Risk = \frac {\mbox{number of persons experiencing event (food poisoning)}} {\mbox{number of persons exposed to risk factor (food)}} 

So the chicken eaters' risk = 22/74 = 0.297
And non-chicken eaters' risk = 2/35 = 0.057.

Those who ate the chicken had a risk over five times as high as those who did not, suggesting that eating chicken was the cause of the illness. Note, however, that this is not proof. Statistical methods would be used in a less clear cut case to decide what level of risk the risk factor would have to present to be able to say the risk factor is linked to the disease (for example in a study of the link between smoking and lung cancer). Even then, no amount of statistical analysis could prove that the risk factor causes the disease; this could only be proven using direct methods such as a medical explanation of the disease's roots.

The earliest use of risk factor analysis dates back to Avicenna's The Canon of Medicine (1020s),[1] though the term "risk factor" was first coined by heart researcher Dr. Thomas R. Dawber in a landmark scientific paper in 1961, where he attributed heart disease to specific conditions (blood pressure, cholesterol, smoking).</description>
		<content:encoded><![CDATA[<p>alpha: 上面那句话我更改了。风险因子的解释和计算法请参见wiki。</p>
<p>A risk factor is a variable associated with an increased risk of disease or infection. Risk factors are correlational and not necessarily causal, because correlation does not imply causation. For example, being young cannot be said to cause measles, but young people are more at risk as they are less likely to have developed immunity during a previous epidemic.</p>
<p>Risk factors are evaluated by comparing the risk of those exposed to the potential risk factor to those not exposed. Let&#8217;s say that at a wedding, 74 people ate the chicken and 22 of them were ill, while of the 35 people who had the fish or vegetarian meal only 2 were ill. Did the chicken make the people ill?</p>
<p>    Risk = \frac {\mbox{number of persons experiencing event (food poisoning)}} {\mbox{number of persons exposed to risk factor (food)}} </p>
<p>So the chicken eaters&#8217; risk = 22/74 = 0.297<br />
And non-chicken eaters&#8217; risk = 2/35 = 0.057.</p>
<p>Those who ate the chicken had a risk over five times as high as those who did not, suggesting that eating chicken was the cause of the illness. Note, however, that this is not proof. Statistical methods would be used in a less clear cut case to decide what level of risk the risk factor would have to present to be able to say the risk factor is linked to the disease (for example in a study of the link between smoking and lung cancer). Even then, no amount of statistical analysis could prove that the risk factor causes the disease; this could only be proven using direct methods such as a medical explanation of the disease&#8217;s roots.</p>
<p>The earliest use of risk factor analysis dates back to Avicenna&#8217;s The Canon of Medicine (1020s),[1] though the term &#8220;risk factor&#8221; was first coined by heart researcher Dr. Thomas R. Dawber in a landmark scientific paper in 1961, where he attributed heart disease to specific conditions (blood pressure, cholesterol, smoking).
</p>
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		<title>由：玲珮玎珰</title>
		<link>http://xysblogs.org/myblog/archives/5580#comment-25590</link>
		<pubDate>Wed, 05 Aug 2009 15:37:50 +0000</pubDate>
		<guid>http://xysblogs.org/myblog/archives/5580#comment-25590</guid>
					<description>谢谢星期三，标题已更正。
</description>
		<content:encoded><![CDATA[<p>谢谢星期三，标题已更正。
</p>
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	<item>
		<title>由：alpha</title>
		<link>http://xysblogs.org/myblog/archives/5580#comment-25566</link>
		<pubDate>Wed, 05 Aug 2009 08:15:56 +0000</pubDate>
		<guid>http://xysblogs.org/myblog/archives/5580#comment-25566</guid>
					<description>"烟民患胰腺癌的风险因子高达1.74，而普通人只有1/76"

何谓风险因子?
</description>
		<content:encoded><![CDATA[<p>&#8220;烟民患胰腺癌的风险因子高达1.74，而普通人只有1/76&#8243;</p>
<p>何谓风险因子?
</p>
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	<item>
		<title>由：星期三</title>
		<link>http://xysblogs.org/myblog/archives/5580#comment-25564</link>
		<pubDate>Wed, 05 Aug 2009 08:07:51 +0000</pubDate>
		<guid>http://xysblogs.org/myblog/archives/5580#comment-25564</guid>
					<description>标题有笔误。
了解腺腺癌，警惕胰腺癌
应为
了解胰腺癌，警惕胰腺癌
</description>
		<content:encoded><![CDATA[<p>标题有笔误。<br />
了解腺腺癌，警惕胰腺癌<br />
应为<br />
了解胰腺癌，警惕胰腺癌
</p>
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	<item>
		<title>由：星期三</title>
		<link>http://xysblogs.org/myblog/archives/5580#comment-25539</link>
		<pubDate>Wed, 05 Aug 2009 03:43:13 +0000</pubDate>
		<guid>http://xysblogs.org/myblog/archives/5580#comment-25539</guid>
					<description>一个朋友曾在高考后得过胰腺炎,据说是死亡率比较高的.后来费了好大折腾治好了. 后来她被大学录取,家人告诉她,你就当是去旅行,不用当是去上学,不要有任何学习压力.</description>
		<content:encoded><![CDATA[<p>一个朋友曾在高考后得过胰腺炎,据说是死亡率比较高的.后来费了好大折腾治好了. 后来她被大学录取,家人告诉她,你就当是去旅行,不用当是去上学,不要有任何学习压力.
</p>
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