16 ms·
A new book on the lack of rigor in biomedical science
- derefr 10y agoThe basic research isn't what costs billions, of course. If we've got "worthless cures" and a "waste [of] billions", it's because we've got: 1. pharmaceutical corporations incentivized to take any random chemical they might be able to make money off of by telling people it has a certain effect (and that isn't so useless that the FDA will literally tell them to stop selling it for being useless) and get them on the market; and 2. an FDA body incentivized to put billion-dollar requirements on corporations to research a chemical's safety by putting it through a gauntlet of trials, and to research said chemical's efficacy (i.e. whether it has some "statistically visible" effect on people), but without that efficacy test translating into anything like a chemical's marketable usefulness (i.e. it being the answer to any problem anyone actually has, such that a doctor would be independently motivated to prescribe it without the pharmacorp's encouragement.) In other words, our system assumes that pharmacorps will only bother putting drugs on the market when they're useful. But that makes no sense: if peddling snake oil—snake oil the FDA has rubber-stamped as having "[statistically] noticeable effect" on some disease—is just as profitable as peddling cures, why would pharmacorps care about curing anything? It's common knowledge that most nutritional supplements—especially the kind that are marketed as containing some named plant, rather than some named active ingredient—are useless, and often don't even contain what they claim to contain. We know exactly why the corporations who produce them produce them anyway: people are dumb enough to buy them, and the rules for things marketed as "nutritional supplements" don't prevent them from making a pill with literally no active ingredient. Well, the logic for pharmacorps isn't any different. If the rules for things marketed as "drugs" allow them to get away with selling pills containing a chemical that just caused people to "show 1% improvement" along some symptom axis in studies, and doctors are dumb enough to [be nudged into] prescribing that pill—why wouldn't they sell them? The research scientists who found out that the chemical might be beneficial in some way didn't cause any of this, any more than the people who first discovered coal in the ground caused coal power plant pollution. Corporate greed, and a government body with weak "efficacy" standards, are at fault here. The basic research—sloppy or not–is just (unintentional!) grist for their mill. --- That being said: if you are a research scientist, and you want to do what you can to be a check on this system, making your basic research as rigorous as possible, so that they can make conclusions of no effect that the FDA can cite as reasons to reject a pharmacorp's pill—would be useful. But, very likely, the pharmacorp has more money than your lab does, and so will be able to pay for a higher-powered study than you can afford, that will be sloppy, such that it could prove the opposite conclusion. Your voice, however clear and strong, might just be drowned out anyway. Really, if we want to fix this problem, the fix needs to come from a different direction. Possibly FDA drug-approval reform, toward something more like a peer-review model (i.e. the pharmacorp gives the FDA money; the FDA uses that money to pay independent labs to rigorously replicate the efficacy study; and then the FDA trusts their independent labs over the pharmacorp's results.)
- Spooky23 10y agoWould you provide some non-supplement examples of FDA approved drugs in this category where they are "safe" but do nothing?
- derefr 10y agoMost newer anti-depressants, for example: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4172306/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4172306/ --- A tangent: interestingly, with anti-depressants in particular, doctors prescribe many of these "basically a placebo" drugs fully aware that they're basically-placebos, and indeed do so independently of any pharmacorp wining-and-dining. This is because the first-line treatment for depression is effectively "let's see if we can give you a placebo to get you to trick yourself out of being depressed." Which often works! There are effective treatments for depression, mind you, but they have side-effects, while placebos are—unsurprisingly—very well-tolerated. So the "actually a drug" drugs get pushed back to the second-line or beyond. Basically, doctors are treating depression the an ISP's phone support treats user complaints: they have a first-tier response that's effectively just there to help people who are temporarily confused and will resolve the problem themselves if you can talk to them long enough. You only get the "actual support" support once the phone-tree algorithm has verified that "placebo support" wasn't enough for you.
- untilHellbanned 10y agoAs a biomedical scientist at a solid US university, I'm getting pretty fed up with all the attacks on my field's credibility. It's similar to education where everyone moans about poor quality. While i cant speak to the average teacher I can honestly say the average researcher tries very hard to get it right. Remember most people don't become biomedical scientists unless they worked hard for many, many years in school and beyond for often quite terrible wages. So you can hate the game (drug companies, academic journals), but please think through any hate you might have on the player.
- capnrefsmmat 10y agoI don't think the blame can all be pinned on drug companies and academic journals, or whatever other third parties we can identify. They all have a role, but many problems with biomedical science come down to individual researchers making poor decisions about their experimental design, statistical methods, and computational tools. I'm a statistician, and when I wrote my own book about bad statistics in science (see https://www.statisticsdonewrong.com/ https://www.statisticsdonewrong.com/), I made sure to reference studies which quantify how often errors occur in real published research. The rate is stunningly high. The average biomedical experiment is conducted with (a) a sample size which is far too small to detect an effect of the expected size, (b) a vague analysis plan which leads to exploratory analyses with high false positive rates, (c) frequent copy-and-paste errors and math mistakes in presenting important results, and (d) an overreliance on statistical methods to make up for poor experimental design. This means the average published paper is likely a false positive, likely an overestimate of the true effect if not, and is barely reproducible. Is this the fault of individual scientists? Partly, yes -- these problems have been pointed out for years in leading journals, but nobody takes action to do better research. It's also the fault of the grant funding systems which incentivize salami-slicing of results instead of doing one big, rigorous, well-designed study, and of journals which prefer dramatic but unreliable results over mundane but well-executed results. (Of course, the journal editors and reviewers are usually active scientists themselves.) I think the average researcher would like to "get it right", but has to focus on getting a career instead. Just a few papers on the problem of poor sample sizes in biomedicine: http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.2000797 http://journals.plos.org/plosbiology/article?id=10.1371/jour... http://rsos.royalsocietypublishing.org/content/4/2/160254 http://rsos.royalsocietypublishing.org/content/4/2/160254 http://www.nature.com/nrn/journal/v14/n5/full/nrn3475.html http://www.nature.com/nrn/journal/v14/n5/full/nrn3475.html
- nonbel 10y agoFrom this description I wouldn't buy this book. It is focusing on a bunch of minor issues rather than the main problem. Biomed researchers only come up with vague "A makes B go up/down" hypotheses. This is not because biology is more complicated than physics. It is 100% a culture and training issue. https://bml.bioe.uic.edu/BML/Stuff/Stuff_files/biologist%20fix%20radio.pdf https://bml.bioe.uic.edu/BML/Stuff/Stuff_files/biologist%20f... https://meehl.dl.umn.edu/sites/g/files/pua1696/f/074theorytestingparadox.pdf https://meehl.dl.umn.edu/sites/g/files/pua1696/f/074theoryte...
- return0 10y agoAgree with that. The problem is not just the inaccurate answers, but the questions are often ill-thought as well. Life scientists often make correlations from molecules to behavior or phenotype, an inference that spans many many orders of spatial magnitude and a gazillion of complex processes. There is just not enough of incentive for systematic bottom-up approaches, as the average grant size is made to fit this kind of hypotheses. It's more culture than training, or rather, training is a consequence of the culture of the field.
- type0 10y agoIt's more like: if you lost your keys on your way home, you go and look for them under the lamp post because you're drunk and you can only see where the light is.