ArticleObesity science & practice2025
Impact of an MRI Body Fat Imaging Report on Obesity-Related Cardiometabolic Risk: Findings From the BODY-REAL Study, A Randomized Trial.
Article in Obesity science & practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04763772 (Clinical Effectiveness of Body Fat Distribution Imaging in Real-World Practice), which is not on this map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Clinical Effectiveness of Body Fat Distribution Imaging in Real-World Practice: The BODY-REAL Study
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3 authors.
Funding
Abstract
Objective: Advanced imaging can inform risk assessment and preventive/therapeutic decision-making to enhance care. It is not known how quantification of body fat distribution using advanced imaging and communication of the result through a graphic report may impact cardiometabolic risk factors and attitudes/behaviors among persons living with overweight or obesity. The BODY-REAL study assessed whether providing patients with (1) visual body fat MRI reports compared with the weight/body mass index (BMI) alone and (2) direct-to-patient reports versus through providers would improve cardiometabolic risk among individuals at elevated cardiometabolic risk. Methods: Participants were randomized in a 2 × 2 factorial design to receive a BMI or MRI body fat distribution report, provided direct-to-patient report or a report through their healthcare provider. Clinical and psychosocial outcomes were measured at 2 weeks, 3, and 6 months and compared using analysis of covariance and linear models with both fixed and random (time-updated) effects. Results: 29 participants (31% female, mean BMI 33.6 kg/m Conclusions: This pilot feasibility study demonstrated potential for direct-to-patient visualization of body fat distribution to improve risk markers and preventive behaviors. Further investigation in a sufficiently powered study is warranted. Trial Registration: ClinicalTrials.gov NCT04763772.
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