Related Experiment Video
Updated: Oct 8, 2025
08:36
Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
Published on: April 19, 2024
789
[Methods for controlling time-varying confounding in pharmaco-epidemiological studies: a systematic reveiw]
H Y Zhao1, X Y Zeng1, F Q Liu1
1Department of Epidemiology and Biostatistics/China Center for Health Development Studies, School of Public Health Peking University, Beijing 100191, China.
Zhonghua Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi
|December 26, 2021
Summary
Controlling time-varying confounding in pharmaco-epidemiological studies is crucial. Methods like marginal structural models (MSM) and inverse probability of treatment weighting (IPTW) are key for accurate drug safety and effectiveness research.
Area of Science:
- Pharmaco-epidemiology
- Biostatistics
- Health Research Methods
Background:
- Time-varying confounding poses a significant challenge in pharmaco-epidemiological studies, potentially biasing results on drug safety and effectiveness.
- Routine clinical data, including laboratory results, comorbidities, and co-medications, often represent time-varying confounders.
- An increasing number of studies are addressing time-varying confounding, particularly in areas like HIV/AIDS research.
Purpose of the Study:
- To systematically review the application of methods for controlling time-varying confounding in pharmaco-epidemiological research.
- To identify commonly encountered time-varying confounders and the statistical approaches used to manage them.
- To assess the impact of controlling time-varying confounding compared to traditional methods.
Main Methods:
- Systematic literature search of PubMed, Embase, CNKI, and Wanfang databases up to June 15th, 2020.
- Analysis of 298 selected pharmaco-epidemiological studies for characteristics, exposure, outcomes, confounders, and control methods.
- Categorization of time-varying confounders and evaluation of the application of statistical methods like marginal structural models (MSM) and inverse probability of treatment weighting (IPTW).
Main Results:
- A rising trend in studies addressing time-varying confounding was observed.
- Laboratory results, comorbidities, and co-used medications were the most frequent time-varying confounders identified.
- Marginal structural models (MSM) and inverse probability of treatment weighting (IPTW) were utilized in 81.9% of studies controlling for time-varying confounding.
- Traditional methods adjusting only for baseline confounders introduced substantial bias (median 18.2%) compared to methods controlling for time-varying confounding.
- Assumptions of positivity and no unmeasured confounders were examined or discussed in only 28.9% and 64.8% of studies, respectively.
Conclusions:
- There is insufficient attention to time-varying confounding in drug therapy research for chronic diseases.
- Laboratory tests, comorbidities, and co-used drugs are the most frequently identified time-varying confounders in real-world data.
- MSM and IPTW are the predominant statistical methods employed to address time-varying confounding in current pharmaco-epidemiological research.
More Related Videos
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
14.7K
10:46A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
10.8K
Related Concept Videos
01:25Strategies for Assessing and Addressing Confounding
172
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...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
172
01:27Confounding in Epidemiological Studies
295
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
295
01:20Chronopharmacokinetics: Time-Dependent Pharmacokinetics
240
Chronopharmacokinetics studies the temporal change in drug absorption and elimination. These changes can be cyclical or non-cyclical. Cyclical changes occur over a regular interval, while non-cyclical changes occur over a longer, irregular period.
Time-dependent pharmacokinetics refers to non-cyclical changes in drug rate processes over a period of time. It can lead to nonlinear pharmacokinetics, where the relationship between drug concentration and time is not proportional. Non-cyclical...
Time-dependent pharmacokinetics refers to non-cyclical changes in drug rate processes over a period of time. It can lead to nonlinear pharmacokinetics, where the relationship between drug concentration and time is not proportional. Non-cyclical...
240
01:12Analysis of Population Pharmacokinetic Data
421
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
421
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
193
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,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
193
01:15Chronopharmacokinetics: Circadian Rhythms and Influence on Drug Response
151
Circadian rhythms are cyclic changes that are crucial in plasma drug concentrations. Various standard circadian parameters, including core body temperature, heart rate, and other cardiovascular factors, directly impact disease states and the therapeutic response to drug therapy.
The time of drug administration is an important factor to consider, as it can influence the toxic dose of a drug. For example, a study conducted by Prins et al. in 1997 examined the effects of the timing of...
The time of drug administration is an important factor to consider, as it can influence the toxic dose of a drug. For example, a study conducted by Prins et al. in 1997 examined the effects of the timing of...
151