Selective publishing and "p-hacking" though, these are research/academia pathologies not marketing ones.
GSK knew that their drug was worse than useless, they knew that children would die as a result, but they deliberately withheld damning data and misled clinicians. For this (and many, many other acts of deceit) they were fined a total of $3bn by the Department of Justice.
The paper has never been retracted and paroxetine is still widely prescribed to adolescents.
"Sounds like they need more anti-depressants"
Just blaming someone else, like marketing and sales, is quite often juat a lazy excuse to not have to look at oneself. Goes zhe other way round, so. Marketing saying "we didn't force them to find value X" might be literally true as marketing almost certainly didn't use these words. But pressure cam be applied in more than one way, it doesn't have to be explicit.
One good example is the series Chernobyl. Pressure from above to deliver certain things, ignoring truth until it's too late and then looking for someone to blame. Plant management did it with the reactor control crew and the political higher ups indirectly with plant management. So yes, all of them have to blamed. Not simply a communist problem as this thread about pharma R and D shows, right?
Whether for reasons of communist 5-year plans, capitalist pharmaceutical industries or even just the personal desires of an academic to prove a pet theory, publish or whatnot.. incentives and pressure to cheat exist. That's one reason why replication is so important.
I'm not sure if every org requires it now or not, but if not then it seems like a question of time only.
If it was that simple...
Preregistration is a step in the right direction, but there are still plenty of ways to game the system, particularly as it's not properly enforced: http://compare-trials.org/
Also, you can safely assume that the large majority of outcomes that were not published were:\
- negative
- worse than negative (i.e. safety issues?)
- not properly designed
So if you compare the number of trials disclosed/not disclosed for each drug/each company that gives you a pretty good picture of who is doing what already.
With that data, it's then a lot easier to approach regulators to do something about it.
Be a drug company. Develop a "drug" that is really a placebo (has no effect). Do 10 trials. 8 are "no effect", 1 is positive (by chance), 1 is negative (by cance). Publish the positive drug. Market the drug as having positive effect. Sell the drug, make billions. It would take decades for enough other research (mostly "no effect") to accumulate before it becomes obvious that your drug actually has no effect.
What Ioannidis is saying is that profit motivates pharma research. This is in a sense a tautology. Even then, Pharma do fund trials initiated by investigators not affiliated with the company.