Research
Mixed
Diabetes mellitus (DM) and cardiovascular disease (CVD) are the most frequently modeled obesity-related complications in Markov models, with DM appearing in 15/15 models focusing on complications and CVD in 14/15.
If you are looking at an economic evaluation of an obesity treatment, expect it to focus heavily on preventing diabetes and cardiovascular events. These are the main drivers of long-term cost savings and quality-of-life improvements in these models.
GoodSupportsHIGH confidence
Regarding the obesity-related complications considered, diabetes mellitus (DM, 15/15) was the most frequently modeled, followed by cardiovascular disease (CVD, 14/15).
Why this rating
Systematic review findings.
Source
Critical Analysis of Markov Modeling for the Economic Evaluation of Obesity Interventions: A Systematic Review
Qiucen Lin et al. · Risk Management and Healthcare Policy · 2025
DOI 10.2147/rmhp.s528064
systematic_reviewCited 2×
Read the paper DOI resolved against Crossref · corpus check 2026-06-10
More from this paper
- Markov models are the dominant methodological framework for economic evaluations of obesity interventions, with 85% of reviewed studies utilizing state-transition models.Good
- Current Markov models for obesity interventions exhibit significant methodological heterogeneity, particularly in how they model the progression of obesity and its impact on costs and utilities.Good
- Validation practices in Markov models for obesity interventions are inconsistently reported, with only 43% of models reporting validation, limiting the reliability and comparability of these evaluations.Good
Related findings · Mixed
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