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home:patients:grappling_uncertainty [06.06.2019] – [Frequent question] sallieqhome:patients:grappling_uncertainty [08.01.2019] – [Understanding studies] sallieq
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 Another common source of questions is recent studies. PubMed has tens of millions of studies. Some of them, many in fact, seem to contradict the conclusions put forth in the Knowledge Base or in the ARF research team's published papers. Often, a critical thinker may be able to apply the evidence and criticisms in the Knowledge Base to a study and make sense of it. Another common source of questions is recent studies. PubMed has tens of millions of studies. Some of them, many in fact, seem to contradict the conclusions put forth in the Knowledge Base or in the ARF research team's published papers. Often, a critical thinker may be able to apply the evidence and criticisms in the Knowledge Base to a study and make sense of it.
    
-An example: one study concluded that vitamin D might lower the incidence of colorectal cancer.(({{pubmed>long:17556697}})) A critical thinker might realize that the study was only for four years and might even be able to find studies over a longer period, which contradicted the original study's findings.(({{pubmed>long:12117397}})) +An example: one study concluded that vitamin D might lower the incidence of colorectal cancer.(({{pubmed>long:17556697}})) A critical thinker might realize that the study was only for four years and might even be able to find studies over a longer period, which contradicted the original study's findings. See (({{pubmed>long:18065602}})), (({{pubmed>long:17991672}})), (({{pubmed>long:18326620}})), (({{pubmed>long:18326621}})) and select OXFORD//academic//  to read the comments.
  
 Using statistical inferences, John P. A. Ioannidis concluded in the prestigious journal //PLoS Medicine// that half of published research must be wrong.(({{pubmed>long:16060722}})) The arguments of that paper are beyond the scope of this article; but in grappling with a confusing study, it's seriously worth considering how Ioannidis could be right.  Using statistical inferences, John P. A. Ioannidis concluded in the prestigious journal //PLoS Medicine// that half of published research must be wrong.(({{pubmed>long:16060722}})) The arguments of that paper are beyond the scope of this article; but in grappling with a confusing study, it's seriously worth considering how Ioannidis could be right. 
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 As before, it is again impossible to predict how long any bout of IP will last, how it will manifest, whether it will become intolerable.  Often people give up, they decide they would rather feel better now and take the risk of feeling much worse when older. As before, it is again impossible to predict how long any bout of IP will last, how it will manifest, whether it will become intolerable.  Often people give up, they decide they would rather feel better now and take the risk of feeling much worse when older.
  
-Sometimes a person decides the MP "does not work" for them   ....but it is very likely that MP is working 'too well' at the time, with great quantities of cytokines being produced by death of microbes.+Sometimes a person decides the MP "does not work" for them   ....but it is very likely that MP is working 'too well' at the time, with great quantities of cytokines being produced by death of microbes in biofilm.
 Our job as support team includes asking MPeers to 'phone home' with information and experiences which will help others, often ways of ameliorating nasty IP whether physical or pharmaceutical.  There is no easy or short term way, we wish there were. Our job as support team includes asking MPeers to 'phone home' with information and experiences which will help others, often ways of ameliorating nasty IP whether physical or pharmaceutical.  There is no easy or short term way, we wish there were.
  
home/patients/grappling_uncertainty.txt · Last modified: 09.14.2022 by 127.0.0.1
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