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The American Society for Pharmacology and Experimental Therapeutics updated journal guidelines for data analysis and reporting. These changes emphasize detailed descriptions of experimental methods and results for more transparent research.

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Area of Science:

  • Pharmacology and Experimental Therapeutics
  • Biomedical Research Reporting

Background:

  • The American Society for Pharmacology and Experimental Therapeutics (ASPET) has revised author instructions for three key journals: Drug Metabolism and Disposition, Journal of Pharmacology and Experimental Therapeutics, and Molecular Pharmacology.
  • These revisions focus on enhancing the granularity and transparency of data analysis and reporting, not on experimental design or execution.

Discussion:

  • Key recommendations include distinguishing between preplanned and exploratory studies, specifying statistical analysis plans before data collection, and clearly documenting outlier exclusion criteria.
  • The guidelines advocate for reporting variability using standard deviation (S.D.) or interquartile range and precision with confidence intervals, discouraging the use of standard error (S.E.).
  • Emphasis is placed on reporting effect sizes with confidence intervals over P values, and on using data visualization methods like scatter plots, violin plots, or box-and-whisker plots instead of bar graphs where appropriate.

Key Insights:

  • Revised guidelines promote greater detail in reporting experimental findings and statistical methods.
  • The changes aim to reduce bias and increase the transparency of published research.
  • Clearer reporting standards will improve the reproducibility and interpretability of scientific studies.

Outlook:

  • Implementation of these revised guidelines is expected to elevate the quality and reliability of research published in ASPET journals.
  • These standards may influence reporting practices across broader scientific disciplines.
  • The focus on detailed reporting will empower researchers to better understand and build upon existing findings.