Gentleman, before I drop out of this forum because I am tired of these kind of discussions let me make these comments.
What I am saying here is not my personal opinion, I am trying to make published work understandable and accessible to you. This is all peer reviewed work from the best scientists in the world in their respective field. Being it the study from Gagliano-Juca & Basaria, 2019 that discusses the knowledge about a cardiovascular risk on TRT or the study by Travis et al, 2017 which explains the new reference system. These guys are experts in their field who devote their lifes to extend knowledge and to share this knowledge in an unbiased way with the scientific community.
I thought that I could contribute to this forum by providing my knowledge of 20 years in research (about 12 of which I used LC-MS as a technology) and by my experience of having published many articles in peer reviewed jounals myself. I know how science works and I know how to read and interpret scientific articles. Again, my idea was not to share my interpretation of these studies but merely to translate and explain the outcome and the experiments to ânon scientific expertsâ.
Respectfully, I strongly disagree. Primary scientific articles never express the opinion of a single person, all co authors actually have to sign a form from the publishrs where one needs to state that everybody fully agrees with the data and the conclusions drawn. Travis et al 2017 has been written by absolute top experts in the field associated with the endocrine society and PATH. Unfortunately your statement is a reflection of the tone of many members here that think that they know things better than the professional scientists. It shows a general disrespect for the scientific community.
Thats true, sensitivity and specificity are not related to the discussion around the reference ranges. The method parameter that matters is accuracy. MS is not quantitative per se. What you get in LC-MS is a peakarea and you need a calibrant to translate the peak area into a concentration eg ng/dl. When the calibrant changes the result changes. Thats what happend in the 2 ref range studies. I am saying this with almost 20 years experience as an analytical biochemist. I used LC-MS during my PhD and postdoc studies and I am now heading a department which mostly uses MS to characterize biologic samples.
Whether a decline of T on a population level is taking place or not is obsolete for the discussion about the differences in old vs new reference range. That is simply because of one fact; for both ref ranges, the old one from Bhasin 2011 and the new one from Travis 2017 samples were analyzed from the same time period.
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Bhasin used sample from the Framingham study collected between 1998 and 2005.
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Travis used samples from 4 cohorts
âFramingham study collected between 1998 and 2005 (exactly the same samples as in the Bhasin study, this serves as the link between the Bhasin and the Travis study in terms of LC-MS readout)
âEMAS collected samples from 2003 to 2005
âMrOS samples were collected between 2002 and 2004
âSIBOS samples were collected between 2002 and 2003
Its not the case, that the old ref range based on Bhasin collected samples in 2000 and the new ref range by Travis collected 15 years later eg in 2015. The samples both studies used were collected exactly in the same time period and froozen for further analysis. The only difference between the studies is that Bhasin used âleanâ men and Travis used ânon obseseâ men and that Bhasin used the newly calibrated method. The impact on the reference range has been discussed before.
Thats an interesting approach. If I read an article in spanish I might be able to understand a bit but it wont make sense to me. But my conclusion would be rather that I have to improve my spanish skills than questioning the validity of the article.
Once you finalized your education you will have learned that in a scientific discussion one reads and discusses every available data before drawing a conclusion. The studies that you linked are very valuable, but its not the only data available on this subject.
On a population levels this topic is extremely import and I too think that there is something going on. However, science is about being unbiased.
One study that you linked shows a decline in TT, the second also but does not show any decline in freeT and Nyante et al, 2012 concluded that there is no evidence for a decline in US men whatsoever. You will also find the last one, as I think you are a clever guy.
I wish you guys all the best for your future endevours.