The conduct and reporting of mediation analysis in recently published randomized controlled trials: results from a

Tat-Thang Vo1, Cecilia Superchi2, Isabelle Boutron3

  • 1Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Krijgslaan 281-S9, 9000, Ghent, Belgium; Université de Paris, CRESS, INSERM, INRA, F-75004, Paris, France.

Abstract

Insights

Recent randomized controlled trials (RCTs) often use traditional mediation analyses (MAs) but lack methodological rigor. Improved guidelines are needed for planning, conducting, and reporting MAs in research.

Area of Science:

  • Methodology in Clinical Trials
  • Statistical Analysis in Health Research

Background:

  • Mediation analyses (MAs) are increasingly used in randomized controlled trials (RCTs) to understand intervention effects.
  • Methodological consistency and reporting quality in MAs require evaluation.

Purpose of the Study:

  • To assess the methodological characteristics of MAs in recent RCTs.
  • To provide recommendations for improving the planning, conduct, and reporting of MAs.

Main Methods:

  • Systematic review of RCTs and secondary analyses reporting MAs.
  • Searched MEDLINE from January 2017 to December 2018.
  • Data extracted from 98 eligible studies by two independent reviewers.

Main Results:

  • Nearly all MAs (96%) used traditional approaches.
  • Most studies lacked sample size calculations (96%) and assessment of treatment-by-mediator interactions (96%).
  • Simultaneous measurement of mediators and outcomes occurred in 53% of studies; confounder adjustment was inconsistent.

Conclusions:

  • Mediation analyses in RCTs show considerable heterogeneity in conduct and reporting.
  • A consensus-based guideline is recommended to enhance the quality of future MAs.

Related Concept Videos

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
373
Randomized Experiments01:13

Randomized Experiments

The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
8.8K
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.8K
Hazard Ratio01:12

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
541
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
332
Clinical Trials01:16

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
10.1K