ArticlePNAS nexus2026
Development of a future prediabetes risk assessment model for individuals with normal glucose levels using data envelopment analysis.
Article in PNAS nexus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Response: Commentary: The ME-BYO index: a development and validation project of a novel comprehensive health index.Frontiers in public health · 2025Article
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Identifying healthy individuals at risk of prediabetes for primary prevention is crucial because current tools often focus on secondary prevention. We investigated whether efficiency scores derived from data envelopment analysis (DEA) could predict the development of prediabetes in a healthy population. This historical cohort study analyzed annual health checkup data. Cox proportional hazards analysis was used to assess the relationship between the efficiency scores and incident prediabetes. A classification tree analysis was also performed, incorporating efficiency scores, hemoglobin A1c (HbA1c), and other diabetes-related variables. The cohort comprised 923 individuals (49.7% female) with a mean efficiency score of 0.72 (SD 0.07). During follow-up, 175 participants developed prediabetes (79.3 per 1,000 person-years). A 0.1-point increase in efficiency score was associated with an adjusted hazard ratio of 0.51 (95% CI 0.39-0.68,
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