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</script>doi: 10.1136/bmj.i2770
pmid: 27221803
There are better solutions to the “reproducibility crisis” in research Money back guarantees are generally unheard of in biomedicine and healthcare. Recently, the US provider Geisenger Health System, in Pennsylvania, started a programme to give patients their money back if they were dissatisfied.1 That came as quite a surprise. Soon thereafter, the chief medical officer at Merck launched an even bigger one, proposing an “incentive-based approach” to non-reproducible results—what he termed a “reproducibility crisis” that “threatens the entire biomedical research enterprise.”2 The problem of irreproducibility in biomedical research is real and has been emphasised in multiple reports.3 4 5 In the same vein, the retraction of academic papers has been rising, attributable, in nearly equal parts, to irreproducible results or data that have been falsified.6 But this problem is not confined to basic science or animal model work from academic laboratories. Clinical trials, the final common pathway for the validation and approval of new drugs, have been plagued with serious drawbacks. The bad science in clinical trials has been well documented and includes selective publication of …
Biomedical Research, Reproducibility of Results, Capital Financing
Biomedical Research, Reproducibility of Results, Capital Financing
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
