ArticleFrontiers in endocrinology2019
A New Model for Evaluation of Interventions to Prevent Obesity in Early Childhood.
Article in Frontiers in endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses 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
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review of economic evidence for community-based obesity prevention interventions in children.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2023Pooled it
- Methods for the economic evaluation of obesity prevention dietary interventions in children: A systematic review and critical appraisal of the evidence.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022Pooled it
- Parent-reported compared with researcher-measured child height and weight: impact on body mass index classification in Australian pre-school aged children.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2023Trial
- A Scoping Review of the Literature on Child and/or Adolescent Health Microsimulation Models.Applied health economics and health policy · 2026Review
- Socioeconomic inequalities in childhood and adolescent obesity in Australia: The role of behavioral and biological factors.PloS one · 2025Article
- The case for investment in nutritional interventions to prevent and reduce childhood and adolescent overweight and obesity in Peru: a modelling study.The international journal of behavioral nutrition and physical activity · 2024Article
- The Return on Investment for the Prevention and Treatment of Childhood and Adolescent Overweight and Obesity in Beijing: A Modeling Study.Nutrients · 2024Article
- Childhood Transitions Between Weight Status Categories: Evidence from the UK Millennium Cohort Study.PharmacoEconomics · 2024Article
- The return on investment for the prevention and treatment of childhood and adolescent overweight and obesity in China: a modelling study.The Lancet regional health. Western Pacific · 2024Article
- Potential cost-effectiveness of e-health interventions for treating overweight and obesity in Australian adolescents.Pediatric obesity · 2023Article
- Cost-effectiveness of scaling up a whole-of-community intervention: The Romp & Chomp early childhood obesity prevention intervention.Pediatric obesity · 2022Article
- Health Economic Aspects of Childhood Excess Weight: A Structured Review.Children (Basel, Switzerland) · 2022Review
- Developing an integrated microsimulation model for the impact of fiscal policies on child health in Europe: the example of childhood obesity in Italy.BMC medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.