Related Experiment Video
Updated: Nov 21, 2025
09:50
Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke
Published on: February 12, 2015
11.4K
Joining the Dots: Linking Disconnected Networks of Evidence Using Dose-Response Model-Based Network Meta-Analysis
Hugo Pedder1, Sofia Dias2, Meg Bennetts3
1Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Summary
Model-based network meta-analysis (MBNMA) connects disconnected treatments by modeling dose-response relationships, improving precision and enabling comparisons where traditional network meta-analysis (NMA) cannot. This approach strengthens evidence synthesis when multiple drug doses are available.
Area of Science:
- Pharmacometrics
- Biostatistics
- Evidence Synthesis
Background:
- Network meta-analysis (NMA) synthesizes evidence on multiple treatments but struggles with disconnected treatment comparisons.
- Model-based network meta-analysis (MBNMA) addresses this by incorporating dose-response relationships.
- MBNMA can link disparate evidence networks.
Purpose of the Study:
- To illustrate how dose-response MBNMA can connect and strengthen evidence networks.
- To compare MBNMA with traditional NMA in connected and disconnected network scenarios.
Main Methods:
- Created illustrative datasets by modifying an NMA of triptans for migraine.
- Fitted MBNMA models with various dose-response functions.
- Compared MBNMA estimates with NMA estimates in connected and augmented disconnected networks.
Main Results:
- MBNMA provided more precise estimates than NMA in connected networks.
- MBNMA generated estimates for treatments in disconnected networks where NMA could not.
- MBNMA results were consistent with NMA from augmented networks in most cases.
Conclusions:
- Dose-response MBNMA can bridge disconnected evidence networks and enhance precision with fewer assumptions.
- Reliable MBNMA requires sufficient data across different doses for accurate dose-response modeling.
- Systematic reviews should include multi-dose evidence for NMA.
More Related Videos
Related Concept Videos
01:28Criteria for Causality: Bradford Hill Criteria - II
931
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
931
01:03Dose-Response Relationship: Overview
4.4K
Agonists can bind with and activate receptors, resulting in the formation of drug-receptor complexes. Once formed, these complexes catalyze many biochemical processes at the cellular level and subsequently induce a pharmacologic response. The degree of response is directly proportional to the fraction of activated receptors, which in turn, depends on the concentration of the drug at the receptor site as well as the sensitivity of the receptor. An increase in the administered dose contributes to...
4.4K
01:25Strategies for Assessing and Addressing Confounding
224
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...
224
01:12Hazard Ratio
381
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...
For example, in a clinical trial...
381
01:21Causality in Epidemiology
1.2K
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.2K
01:22Dose-Response Relationship: Potency and Efficacy
6.0K
The potency of a drug is the measure of its ability to produce a biological response and can be compared by looking at the half-maximum effective concentration or EC50 values of different drugs. A lower EC50 value indicates higher potency of the drug. In the dose–response curve of two antihypertensive drugs, candesartan and irbesartan, a significant difference is observed in their EC50 values. A lower EC50 value for candesartan indicates that it is more potent than irbesartan, as it...
6.0K