I will add a bit of my perspective into this. Jim and I have privately discussed this GM study before as well; SAE #881825.
There are several things I find objectionable to this study. The study itself is not flawed; the DOE was predicated on varying the filter efficiency and noting effects. And they do acknowledge the "correlation" in the title of the paper. But they only find causation when the "normal" environment is negated.
But where this really becomes flawed is in the laymans interpretation of the synopsis (non-members don't pay for the study, and so they can only glean a snip-it of info from the synopsis ...) and even if they did buy it, they don't often understand what they are reading.
You see, there are three things that contribute to controlling engine wear:
1) the oil add-pack
2) the filter efficiency
3) the OCI duration
GM predicated their study on the filter, so they had to exclude the other two contributors. Hence, they didn't use the OCI duration as a management tool to control the wear, nor did they account for the anti-wear layer. They GROSSLY dosed the system with fine dust, in a manner that would NEVER be seen to such magnitudes in real life. And then they looked at the wear via UOAs as a factor of filter efficiency ...
The oil add-pack is designed to help control contamiatinon, but it is predicated on an expected contaminante introduction rate (how much bad stuff goes in) and a purging rate (how often it is changed out). The oil add-pack detergents and dispersents are targeted to last for a given OCI. If you don't OCI, and then seriously overdose the contamination rate, can you really call this a test applicable to the real world?
No; that's just not applicable to the real world. And they even admit as such, buried in the study statements. Allow me to quote:
It is important to note that this analysis is used only to compare relative wear rates. Used oil analysis from engines in the field will not typically show such a clear correlation since wear metals generated between oil changes will be at much lower concentrations.
IOW - because they super-duper dosed the crankcase with dust WAY beyond what is "typical" over an entire engine's expected lifecycle, and NEVER OCI'd relative to that life expectancy, and totally ignored the anti-wear boundary topic, they had to make sure they stated that these results in UOA metals would NEVER be seen in the real world. In short, you'll not be able to duplicate this type of filtration induced lifecycle variance because of the way they manipulated the test! If you change oil as a "normal" person would, and use fresh lubes, you will flush out the contamination before it would ever get anywhere nearly as polluted as the crankcase in this study, and therefore you'd never experience wear rates this elevated. And when the wear rates are not elevated unique to each filter efficiency, the statistical variance is so muted that one cannot distinguish the difference between filters!
I love to make analogies; I'm nearly famous for it. So try this on for size ...
Consider the Kool-aid product. When used appropriately, it is a consumable product that is a blend of packet mix, sugar, and water. What would happen if we decided to "test" the product in a market survey, but we decided to ONLY test the packet mixture. We would not use the water, nor sugar; we were only going to taste test the "mix" packet. While we can track and study the results, it's not really applicable to the real world, is it? Would we not have to include both the water, and the sugar, in the prescribed mixture ratios, to make it a "fair" real world test? Also, to be really good, we'd not only have to use water and sugar, but we'd have to control those two ingredients in regard to quality and quantity, as prescribed by the intent of the OEM, would we not?
And so it goes with this GM filter study. They grossly contaminated the sump and didn't change oil relative to a prescribed interval, so as to negate the contributions of the lube in regard to wear control. Is that "real world" worthy?
Now, if you are in the habit of running without an air filter in place, and leave the oil-fill cap open to the enviornment, and plan to never, ever change your oil, then perhaps these results in the GM/SAE study might have a bearing on your filtration selection.
This study has absolutely zero influence on my filter choices because the data it develops is not applicable to the way I maintain my equipment. The "lifecycle extension" due to filtration variation in this study is not applicable to any BITOGers I know of, who tend to the complete anal-retentive opposit of the study parameters when it comes to lube and filter changes ...