Improving the impact of biomedical research

摘要: Background: Several claims highlight that the quality of biomedical scientic research is far away from what desire. Our goal to evaluate eect on journal impact interventions, whose original aim was improve paper quality. Two separate, previously randomized trials (PLOS and ET) manuscripts submitted Medicina Clinica showed a positive after adding statistical reviewers recommending reporting guidelines (RG) during editorial process. The objective this work study their eects additional outcomes in terms further research. Methods: We maskedly collected Web os Science number citations (NC) received each paper; as well sum means citing journal's factor (SI). In ET study, we ran simulations select best location scale tests. Simulations suggested employing Ordinal Logistic Regression (OLR) for tests, gatekeeping method controlling FWER. alpha preserved, but power didn't achieve desired 80%. Although did not recommend formal testing, an academic exercise, PLOS dataset used conrm hypotheses. Results: With selected strategy, couldn't prove any review intervention impact. point estimate shift towards superior NC quartile OR=2.17 (CI95% 0.61 7.65, P=0.229). Discussion: tried test new hypotheses previous unpowered datasets, our results demonstrate them. Nevertheless, these data clearly suggest RG process has posterior science repercussions.