Related Experiment Video
Updated: Dec 16, 2025
04:34
Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
Published on: February 17, 2023
1.5K
Meta-Analysing Methodological Quality of Published Research: Importance and Effectiveness
Izet Masic1, Slobodan M Jankovic2
1Academy of Medical Sciences of Bosnia and Herzegovina, Sarajevo, B&H.
Studies in Health Technology and Informatics
|July 2, 2020
Summary
Experimental study design flaws are common in preclinical research. Despite higher citations, high-impact factor journals published studies with similar design issues, risking inaccurate conclusions.
Area of Science:
- Biomedical Research
- Experimental Design Principles
Background:
- Inappropriate experimental design in medicine leads to inaccurate results and biased conclusions.
- Evaluating the implementation of basic research design principles is crucial for scientific integrity.
Purpose of the Study:
- To compare the prevalence of implementing basic experimental design principles in preclinical studies published in low- and high-impact factor journals.
- To assess the impact of journal impact factor on the quality of experimental design in preclinical research.
Main Methods:
- Randomly selected publications from PubMed and Web of Science (WoS).
- Assessed implementation rates of local control, randomization, and replication using predefined criteria.
- Compared findings between studies published in low- and high-impact factor journals.
Main Results:
- No significant difference in the number of satisfied experimental design criteria between low- and high-impact factor journal publications.
- Studies in high-impact factor journals received significantly more citations (30.5 ± 38.5 vs 2.6 ± 4.1).
- Low-impact factor journals showed less frequent use of pseudo-replication (30% vs 56%) and more frequent randomization (40% vs 5%).
Conclusions:
- A high prevalence of incomplete implementation of basic experimental design principles exists in both low- and high-impact factor journals.
- Studies in high-impact factor journals, despite higher citation rates, carry a similar risk of incorrectness and bias.
- Ensuring robust experimental design is essential across all publication venues to prevent misleading future research.
Related Concept Videos
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
316
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,...
316
01:11Statistical Analysis: Overview
13.5K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
13.5K
01:15Data Validation
476
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Key parameters for method validation include:
476
01:25Statistical Methods for Analyzing Epidemiological Data
792
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
792
01:29Bias in Epidemiological Studies
1.1K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.1K
01:18The Scientific Method in Nursing Process
15.3K
The scientific method provides the foundation for any research. It is the most reliable and objective of all forms of gaining knowledge and guides in applying research-based evidence in practice and conducting future research.
When using research findings to change practice, one must understand the process used to guide a study. The scientific method is a systematic, step-by-step process that supports the data's validity, reliability, and generalizability. As a result, findings can be...
When using research findings to change practice, one must understand the process used to guide a study. The scientific method is a systematic, step-by-step process that supports the data's validity, reliability, and generalizability. As a result, findings can be...
15.3K