ReviewAdvances in nutrition (Bethesda, Md.)2026
Guiding Principles for Science-Based Food Classification Systems Focused on Processing and Formulation.
Review in Advances in nutrition (Bethesda, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- A Critical Review of the Science on "Highly" Processed Food Intake and Body Weight.Advances in nutrition (Bethesda, Md.) · 2026Review
- Evolution of Food Classification Systems and Assessing Diet Quality.Advances in nutrition (Bethesda, Md.) · 2026Article
- Exposure to processing from ultraprocessed diets and in feeding studies.Current research in food science · 2026Article
- Ultra-processed food exposure and health outcomes: Current evidence, controversies, and future perspectives.EXCLI journal · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Food classification systems that focus on food formulation & processing classification (FF&PC systems) have gained traction in research and dietary policies. Yet, their utility and scientific foundations are debated. To address criticisms and identify paths forward, the Institute for the Advancement of Food and Nutrition Sciences convened a Working Group comprising government, industry, and academic scientists to conceptualize a project to meet the needs of the scientific community in addressing recurring concerns about FF&PC systems in the literature. Born from this, an independent public sector Writing Team with expertise in food science, nutrition research and methodology, dietary guidance, and sensory science led the development of guiding principles for researchers to consider when developing, refining, and applying FF&PC systems for public health. The principles emphasize the need for transparent documentation; distinguishable versioning; strong, and ideally causal, evidence of a putative effect of specific processing steps and formulation components with health-related endpoints; evolution over time in response to scientific advances and changes to the food supply; and consideration of current scientific consensus, validation contexts, and the probative value of research questions and new FF&PC systems. These principles are intended to provide a shared foundation and standardized approach to guide researchers in this area without endorsing or advocating for the creation or use of FF&PC systems. These aspirational principles can be used to identify future research priorities and areas for investment while also providing guidance on cautionary action in the absence of complete data. Adherence to these principles is also intended to limit the continued expenditure of resources critiquing or defending new FF&PC systems. These principles can serve as a foundation to support impactful research on FF&PC systems and, through this, public health policy.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.