Related Experiment Video
Updated: Jan 31, 2026
03:17
Author Spotlight: Advancing Diabetes Research with Static Exercise Training in Mice
Published on: March 29, 2024
1.0K
Comparison of three meta-analytic methods using data from digital interventions on type 2 diabetes.
Mihiretu M Kebede1,2,3, Manuela Peters1,2, Thomas L Heise1,2
1Department of Public Health, University of Bremen, Health Sciences, Bremen, Germany, kebede@leibniz-bips.de.
Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy
|December 28, 2018
Summary
Digital interventions effectively reduce glycated hemoglobin (HbA1c) in type 2 diabetes. Analysis of Covariance (ANCOVA) and simple methods provide comparable pooled effect sizes, but detailed data reporting is crucial for accurate meta-analyses.
Area of Science:
- Medical Informatics
- Biostatistics
- Endocrinology
Background:
- Meta-analyses of continuous outcomes like HbA1c are vital for evidence synthesis.
- Simple analysis of change scores (SACS) and final values (SAFV) can misestimate effects due to baseline imbalances and pre/post correlations.
- Analysis of Covariance (ANCOVA) offers a more robust method for handling these challenges.
Purpose of the Study:
- To compare pooled effect sizes for HbA1c from digital intervention trials using ANCOVA, SACS, and SAFV meta-analyses.
- To evaluate the impact of baseline imbalance and pre/post correlation adjustments on meta-analysis results.
- To assess the effectiveness of digital interventions in managing type 2 diabetes.
Main Methods:
- Systematic search of three databases for RCTs (1993-2017) with HbA1c as the primary outcome.
- Independent data extraction and quality assessment by two reviewers, with third-reviewer arbitration.
- Comparison of pooled effect sizes using ANCOVA, SACS, and SAFV meta-analytic approaches.
Main Results:
- ANCOVA, SACS, and SAFV yielded pooled HbA1c mean differences of -0.39%, -0.39%, and -0.34%, respectively.
- Adjusting for high baseline imbalance and pre/post correlation yielded similar results across methods (-0.39% to -0.33%).
- Substantial heterogeneity was observed, but Egger's test indicated no significant publication bias for any method.
Conclusions:
- Digital interventions demonstrate effectiveness in reducing HbA1c levels in individuals with type 2 diabetes.
- ANCOVA's accuracy depends on detailed study reporting; access to individual patient data is ideal.
- Standardized reporting of summary data is essential for reliable meta-analyses in digital health interventions.
Related Concept Videos
01:22Diabetes Mellitus: Type 2 and Gestational
4.9K
Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
4.9K
01:13meta-Directing Deactivators: –NO2, –CN, –CHO, –CO2R, –COR, –CO2H
6.7K
All meta-directing substituents are deactivating groups. These substituents withdraw electrons from the aromatic ring, making the ring less reactive toward electrophilic substitution. For example, the nitration of nitrobenzene is 100,000 times slower than that of benzene because of the deactivating effect of the nitro group. The first step in an electrophilic aromatic substitution is the addition of an electrophile to form a resonance-stabilized carbocation. The energy diagrams for...
6.7K
01:21Development of Analytical Methods
2.2K
An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...
2.2K
01:19Data: Types and Distribution
1.7K
In biostatistics, data are the observations collected for analysis. There are two main types: parametric and non-parametric. Parametric data, which include continuous (e.g., weight) and discrete numerical data (e.g., number of tablets), assume a particular distribution pattern, often the normal distribution. Non-parametric data do not adhere to a specific distribution and typically comprise nominal (e.g., gender) and ordinal categorical data (e.g., pain scale ratings).
Distributions in...
Distributions in...
1.7K
01:22Diabetes Mellitus: Overview and Type I Subtype
5.3K
Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
5.3K
02:57The Sense of Self: Reflected Self-Appraisal and Social Comparison
56.1K
According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
56.1K