The most important variable affecting interpretation of study merit by survey respondents was the reporting of negative results. As more researchers are developing COIs, many studies are discovering a relationship between COIs and outcomes of research studies. Reviewing the adult total joint literature, Ezzet8 found an industry funding rate of 50%. Positive results were reported in 93% of cases in commercially funded studies versus 37% of cases in independently funded studies. Furthermore, no negative results were reported by investigators who were receiving royalties from the respective companies.
Studies across the medical literature have also found this association between industry sponsorship and reporting of positive results. One such study, reported by Valachis and colleagues7 in the Journal of Clinical Oncology, examined more than 80 economic analyses of targeted oncologic therapies and found the studies funded by pharmaceutical companies were more likely to report favorable qualitative cost estimates. In addition, when studies with a COI disclosure were examined, those reporting any financial relationship with a manufacturer (eg, author affiliation, funding) were more likely than those without such a relationship to report favorable results.
Our study had several limitations. First, as most of the survey respondents were orthopedic surgeons, extrapolating their data to the medical community at large may not be appropriate, as each specialty may view industry affiliations differently. In addition, respondents were asked to base their interpretations of a study on conclusions we predetermined—no direct visualization of the data set or statistical testing methods. It is possible that these responses may have been different had the respondents had the opportunity to further evaluate the study in question. In a recent study, Altwairgi and colleagues11 found that 10% of randomized clinical trials involving lung cancer treatment were reported with different conclusions in their full manuscripts relative to their abstracts. We think our survey design perhaps best mimics an annual meeting environment in which participants have very limited ability to interpret studies and may rely more heavily on the factors we investigated—study design, significance of findings, and setting, all similar to information presented in an abstract—when making informed decisions. Although our response rate was only 70%, this is comparable to or better than the rates in similar survey studies that used email-based questionnaires.12,13
Another limitation was that our survey may have forced respondents into answers they did not entirely agree with, given the limited options of the multiple-choice response format and the specific wording of the questions. Our conclusions may have been more dramatic when we were evaluating whether the study was deemed meritorious or not. However, there is no adopted standard for evaluating the extent of bias perceived by a clinician. We thought it was important to include answer options indicating a study had merit despite obvious bias in design and execution. That a study had merit can mean different things. It may change clinical practice, may require further study and reproducibility, or may not be significant enough to matter. Asking follow-up questions to evaluate this perception among the respondents could have provided validity to the term merit. Further studies in this field are needed to determine how studies are interpreted and translated into clinical practice by various clinicians.
Conclusion
Although the present study is not a quantitative analysis of the determination of bias in the orthopedic community, it is the first to evaluate orthopedic surgeons’ perceptions on the basis of key fundamentals of orthopedic research relative to COI. It is clear from our study results that introducing levels of evidence to the orthopedic milieu has had a significant impact both on the quality of research and on the foundational use of deductive reasoning when interpreting the literature. Reporting negative outcomes is perhaps the most important factor in eliminating the perception of bias among orthopedic surgeons. To what extent a perceived COI plays into medical decision-making and the ultimate treatment of patients is still relatively unknown.