I'm not sure I understand. Is there something gray about a non-fatal cardiovascular event?Being base two, mortality rates are digital. All other measures are analog, allowing for some grayness.
I'm not sure I understand. Is there something gray about a non-fatal cardiovascular event?Being base two, mortality rates are digital. All other measures are analog, allowing for some grayness.
I'm not sure I understand. Is there something gray about a non-fatal cardiovascular event?
So, you're saying that if we agree upon a definition an event, it's still gray. Is that correct? And because of this, you only want to look at deaths because there is no debate over the definition?Well yeah, just exactly how much ischemia can a guy have before it is considered an event? An ER visit? What if you don't do labs? How bad do the labs have to be?
vs: dead.
Still not following you. Long-term risk assessment is part of life. This study looked at five-year outcomes for statins. Other studies look at long-term outcomes. I recall a four year study with Crestor that was stopped at two years because the benefits were already clear.But OK, go ahead and use the usual "fatal or non fatal cardiac events, or stroke" if you like. But rather than the '50% decrease in the treatment group", tell us how long the end points are delayed between the two groups in any study..
When I find that I am unable to express in my own words what someone is saying, I consider that I do not understand it. That could be the quality of the explanation given, my base of knowledge or something else.Methinks UncaYimmy's lack of understanding is an act.
Folks, graphs are cool technology. You can use them to forecast, by extending lines in to the future.
Here are directions to make a pertinent graph:
Bottom line, mark off ten points, years 1-10.
Right hand axis, mark ten points, label by half- 1/2. 1, 1 1/2. etc
Establish end points at the five year line, end points are 5% end point in statin group, and 7 1/2%, end points in the control group. (This data is the ubiquitous "30% improvement on statins" we've all heard so much about. See, after five years, that is how many subjects readed the 'end point'- death, stroke, heart attack) Now, extend the statin line from the 5% percent mark to the right, at the same incline. Note that at about 5 1/2 years, the end point quantity matches the end point quantity of the control group. Note also, that at the 5 year mark, only 2 1/2% of the patients had benefited. The ones under the lines died. The ones above the lines didn't die, treated or not.
So, at this point our graph shows a triangle, 2 1/2% high by six months long. To average a triangle, you cut one dimension in half, so that 2 1/2% of patients average an extra 3 months (90 days) of 'benefit'. 2 1/2%, (.025) times 90 days, give the average benefit for all the patients treated with statins for five years. Final tally, for five years of treatment with statins, 2 1/4 days per patient. What a miracle drug!!!!
Now, how much benefit would you expect if UncaYimmy lowers his LDL from 90 to 70? Answer rounded to nearest whole second please...
(eta: Of course, I did forget to mention that taking statins for 20 years will make the benefit 4 times as much.) (another error- my mistake. 20 years would mean 8 times as much benefit. 20 years, 18 days)
(further eta, I don't remember the name of the high school math class that covered graphs. Algebra? But if you can't manage it, maybe remedial math class would help)
Basically, I see it as a choice (using your numbers) between having a 5% chance of dying over the next five years or a 7.5% chance. I would weigh that against the costs and risks of complications with the drug.
Since I never claimed it was a miracle drug, you converted no one. You did confuse me.Bingo! I've made a convert. Most people taking a statin seem to expect a miracle.
Actually, no, that doesn't prove linearity. How about citing the one study you know of?So far as linearity goes, the only study results that I know of that gave any intermediate data was a ten year study. Actually, it was two consecutive five year studies, with the control group given the drug starting at the five year conclusion of the first study. Same results for the second five year span, so linearity is proven.
If I am looking at the number of deaths over a period of time, then having N deaths at one point in time does not a line make. If I use 0/0, then I get a linear trend line when in reality I have no idea when the deaths occurred during my time line.And obviously, the chart lines start at zero time, zero end points. Where else would you start a study?
Since you are only aware of one study, who says they don't? It's actually quite typical to adjust for age and other factors. Standard practice, really.AAand, "Basically, I see it as a choice (using your numbers) between having a 5% chance of dying over the next five years or a 7.5% chance" brings up another point. The typical cholesterol study is done at the 50-60 age groups. Yet most of us die in out 70s. Why not study efficacy in that group?
The data is quite lacking about the quantity of plant sterols that might reduce LDL. Nevertheless, since some studies have "hinted" that there could be risks associated with excessive intake, my decision is to include some wheat germ and canola oil in my daily diet (perhaps about a tablespoon of each). Any thoughts?
Actually, no, that doesn't prove linearity. How about citing the one study you know of?
If I am looking at the number of deaths over a period of time, then having N deaths at one point in time does not a line make. If I use 0/0, then I get a linear trend line when in reality I have no idea when the deaths occurred during my time line.
Bummer.I can't find it.
I regularly see graphs from studies in PubMed, but only when I have access to the full text. If only the abstract is available for free, you're not going to see the graphs. You can filter the results in PubMed to show only free full text articles (upper right side).No study ever gives a graph in it's results. They only give the five year figure. I seem to be the only person in the world advocating a graph at all.
If you read this, I think you will change your conclusion. The use of the word "still" in your quote was to point out that niacin "still" had an effect after discontinuation of the treatment, not that it was "still" 11%. During the study niacin did not decrease mortality. Nine years after discontinuing the treatment, they found a benefit.But, combining the "11% after ten years" from the study I quoted just above, with "30% after five years" would make a non-linear line, a downward curve, meaning my point is even stronger.
I disagree as to the necessity of a chart for me to make my decision. What I want to know are the end point numbers of my risk group (age, sex, history of CV disease). I can look at the placebo group versus the treatment group and determine the potential benefit over that period of time.But believe my original point was that comparing "relative risk" causes an exaggeration of the expected benefit. We, as patients, don't care about death rate except as it implies longer, better life. My point of graphing the results of the studies is to forecast just how much benefit we can expect.
I had never heard of people advocating putting statins in the water supply. That's funny. I had to Google it. The following puts it into better context, which is to say that it looked like a publicity stunt:My own summation of the benefits of cholesterol: If the whole population takes Statins for our whole lives, our average life span will increase by a few days." Yet some people advocate putting it into our water supply.
http://news.bbc.co.uk/2/hi/health/3931157.stm
Dr John Reckless, chairman of Heart UK and a consultant endocrinologist at Bath University, put forward the case.
"The whole point of the debate is to bring out the fact that we are under-treating and the fact that a lot more people could benefit.
"The whole population should be following diet, lifestyle and weight loss measures. We shouldn't have our high- fat meals and we shouldn't lounge around, we should all be taking exercise and so on.
"Of course we all need that. But on the other hand, rather more people do need statins than are currently getting them.
"So maybe people should be able to have their statin, perhaps if not in their drinking water, with their drinking water.
"The issue is how far we should be encouraging wider use," he said.
If you are interested in statins, LDL and mortality, I would suggest you look up the JUPITER study. It's starting to change the focus from "LDL" to "C-Reactive Protein." Interesting stuff.
If you want to see charts for the Crestor study, you can look at the full study right here. They have a number of pretty little charts tracking things over time and showing hazard ratios.
It was only for four years. I presented that study because you claimed (incorrectly) that studies don't show graphs, and that you were the only one talking about it. You can't even find the study you cited, so don't know if it had charts or not.They all look linear enough to use for predictive purposes to me.
Did you expect something different in a chart of death from any cause?Check out their fig 1 (D), "Death from any cause". The difference is less than .01 after five years. And the lines are very, very linear.
Not to me it isn't, no. Why do I care about average life spans, specifically, how long other people live? I care about how long I personally live. Heart disease is but one factor in life span, and statins are but one factor for heart disease.Use your own math, whatever way you chose, and give my the answer to "how much longer can we expect to live, on average, if we all take statins for the last 40 years of life?" because, isn't that the point?
If you are interested in statins, LDL and mortality, I would suggest you look up the JUPITER study. It's starting to change the focus from "LDL" to "C-Reactive Protein." Interesting stuff.
Hey guys, those of you who looked at the Jupiter graphs, explain the numbers across the bottom of the graphs?
Called "number at risk". It gets smaller and smaller as time goes by. Starts at a total of 17,802, and by the end of the study they were down to fewer than 500? I guess that accounts for the "mean follow up of 1.9 years"? So this study had drop out rates of 95%?
Whoa, so a five year study of 18,000 people is actually a 23 month study of 500? And this study is the basis of billions of dollars of drug sales?
UY, did I get that right?
I don't know what that study was, but if it involved tamoxifen, the adverse effects can be severe for some, perhaps forcing many women to stop the treatment.I recently cited a 5-year follow-up study to look at compliance rates for prescriptions for women who had breast cancer, a highly motivated group. It was less than 50%.