ReviewSAGE open medicine2025
Recommender systems for obesity prevention: Scoping review of reviews.
Review in SAGE open medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prioritizing Clinically Relevant Criteria for Longitudinal Obesity Management: A Systemic Framework to Support Decision-Making.Obesity surgery · 2026Pooled it
- Mapping Digital Nudges and Recommender Systems for Obesity Prevention: Scoping Review.Interactive journal of medical research · 2026Review
- Recommender systems for obesity prevention: Scoping review of reviews.SAGE open medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Recommender systems are technology-based systems that generate recommendations or guide users to relevant information. This study is a scoping review aiming to describe what is known about the recommender systems for obesity prevention according to systematic reviews on this topic. Methods: This scoping review adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA ScR) guideline. Out of 148 records labeled as reviews in the database and online searches until October 2023, 10 reviews fulfilled the inclusion criteria according to the Population, Concept, and Context framework: Population (human), Concept (recommender systems), and Context (obesity prevention). Bibliographic, population, concept, and context characteristics, and topics addressed in reviews were charted and synthesized using relative frequencies or described narratively. An overlap that occurs when the same primary studies are included in multiple reviews was assessed as the overall Corrected Covered Area (CCA: 0%-5% low overlap to ⩾15% very high overlap). Results: The reviews were published between 2017 and 2023 and included 308 primary studies. The overlap in primary studies among the 10 reviews was low (CCA = 1.29%). The reviews described the recommender system properties ( Conclusion: Evidence from past reviews suggests that despite the existence of several technical solutions, there is yet no consensus on how to generate the most accurate nutrition recommendations in the obesity prevention context. Future studies addressing system and user outcome evaluation are needed to identify the optimal parameters for any long-term behavior change in recommender system users.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.