Research

Mixed

The Core Obesity Model (COM) accurately predicts obesity-related event rates for type 2 diabetes, cardiovascular disease, and obstructive sleep apnea when validated against studies used for its development.

For decision-makers using the Core Obesity Model, the dependent validation results provide high confidence that the model accurately predicts the rates of T2D, CVD, and OSA for populations similar to those used in its development. This supports the use of the model for cost-effectiveness analyses in these specific contexts.

GoodSupportsHIGH confidence
The concordance observed in the external dependent validation suggests that the COM accurately predicts obesity-related event rates observed in the studies used to develop the model.
Sarila Hali Kloster Lopes et al. · PharmacoEconomics · 2020

Why this rating

High-quality validation using multiple large datasets and established statistical methods (R2, slope analysis).

Source

External Validation of the Core Obesity Model to Assess the Cost-Effectiveness of Weight Management Interventions

Sarila Hali Kloster Lopes et al. · PharmacoEconomics · 2020

DOI 10.1007/s40273-020-00941-3

narrative_reviewCited 26×
Read the paper
DOI resolved against Crossref · corpus check 2026-06-10

This is one finding among thousands. Every one is graded and traced to its source, so you can see what the evidence actually supports. Browse the research →