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- Talk
- 21/09/2022
- UK
Navigating the Literature in 2022 (BJJ): How To Make Sense Of The Data Around Us
Description
In a talk led by Daniel Perry, the importance of transparency in data interpretation and reporting within clinical research is emphasized. He addresses the audience with a modified presentation, introducing the crucial concept of transparency in randomized controlled trials (RCTs) and the necessity of adhering to predefined protocols to ensure research integrity. Perry critiques two RCTs published in different orthopedic journals, highlighting the significant discrepancies in their transparency, despite both being classified as level 1 evidence. He discusses how the integrity of statistical results relies on following established protocols, cautioning against the dangers of altering research questions or primary outcomes post hoc. Perry conveys that data honesty is paramount, warning that if researchers deviate from their original plans, they risk engaging in 'fishing expeditions' for statistically significant results (e.g., p-values less than 0.05) – a practice he labels as poor research.
Mentioning the importance of complete and unbiased data collection and analysis, he advocates for early registration and publication of clinical trial protocols. Perry stresses that this not only establishes research credibility but also mitigates publication bias by ensuring significant outcomes are rigorously compared to lesser results. He further illustrates how authors must disclose the details of their analyses to maintain transparency when relying on large datasets, cautioning that researchers need to understand the contexts and limitations of these datasets. In the final remarks, Perry emphasizes the overarching goal of transparency in research methodologies, arguing that it empowers surgeons and researchers alike to make informed judgments based on reliable data.