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Related Concept Videos

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 researchers try to extrapolate results...
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...
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

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...
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, controlled...
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

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:
Statistical Significance01:37

Statistical Significance

Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...

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Related Experiment Video

Updated: Jul 5, 2026

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials
08:36

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials

Published on: April 19, 2024

The reporting quality of meta-analyses improves: a random sampling study.

Jin Wen1, Yu Ren, Li Wang

  • 1Chinese Evidence-Based Medicine Centre, West China Hospital, Sichuan University, Guoxue Xiang 37, Chengdu, Sichuan 610041, China.

Journal of Clinical Epidemiology
|April 16, 2008
PubMed
Summary
This summary is machine-generated.

The reporting quality of meta-analyses has improved over time, with Cochrane reviews showing better overall reporting than paper-based articles. Further enhancements are needed for both formats.

Related Experiment Videos

Last Updated: Jul 5, 2026

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials
08:36

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials

Published on: April 19, 2024

Area of Science:

  • Medical research methodology
  • Evidence-based medicine

Background:

  • The QUOROM statement provides guidelines for reporting meta-analyses of randomized controlled trials (RCTs).
  • Assessing the adherence to reporting guidelines is crucial for the quality and reliability of scientific literature.

Purpose of the Study:

  • To evaluate the overall reporting quality of meta-analyses of RCTs using the QUOROM statement.
  • To compare the reporting quality between paper-based articles and Cochrane reviews.
  • To investigate trends in reporting quality over time.

Main Methods:

  • A random sample of systematic reviews or meta-analyses of RCTs published between 2000 and 2005 was selected from Medline.
  • Reporting quality was assessed using the QUOROM statement criteria.

Main Results:

  • The mean QUOROM score increased from 10.5 in 2000 to 13.0 in 2005, indicating improved reporting over time.
  • Cochrane reviews (mean score 14.2) demonstrated superior reporting quality compared to paper-based articles (mean score 11.7).
  • While Cochrane reviews excelled in abstract reporting, their trial flow reporting was weaker than paper-based articles.

Conclusions:

  • The reporting quality of meta-analyses has demonstrably improved over the study period.
  • Cochrane reviews generally exhibit better reporting quality than traditional paper-based publications.
  • Despite improvements, there remains a need for continued enhancement in the reporting standards for both Cochrane and paper-based meta-analyses.