ArticleSystematic reviews2018
Protocol for a systematic review of methods and cost-effectiveness findings of economic evaluations of obesity prevention and/or treatment interventions in children and adolescents.
Article in Systematic reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Primary prevention programs for childhood obesity: are they cost-effective?Italian journal of pediatrics · 2023Pooled it
- A Systematic Review of Methods, Study Quality, and Results of Economic Evaluation for Childhood and Adolescent Obesity Intervention.International journal of environmental research and public health · 2019Pooled it
- Kinetic Modeling ofMetabolites · 2022Review
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
backgroundChildhood obesity is a major global public health problem, with governments increasingly having to undertake various strategies to reduce excess weight in their populations. Considering the increasing number of well-conducted intervention studies in the field of childhood obesity prevention, there are relatively few published economic evaluations. The proposed systematic review will explore the methods of these economic evaluations, examine the limitations and establish the evidence base for cost-effectiveness analyses. METHODS/
designSystematic review methodology will be applied to identify, select and extract data from published economic evaluation studies (trial-based, non-trial based, simulation-based, decision model and trial based model economic evaluations) of obesity prevention and/or treatment interventions in children and adolescents. A systematic literature search will be conducted using bibliographic databases (MEDLINE, EMBASE, CINAHL, Web of Science, EconLit, PsycINFO, Cochrane Library, Centre for Reviews and Dissemination (CRD) and Cost-Effectiveness Analysis (CEA) Registry). The review will only include full economic evaluations. There will be no restrictions based on language, perspective, follow-up duration, sample size, country or setting. To minimise selection bias, translation of non-English language articles will be undertaken. The quality of included studies will be assessed. Following data extraction, a narrative synthesis of the results from the included studies will be undertaken. Subgroup analysis will be considered where deemed appropriate. DISCUSSION: The findings from this review, which will include primary studies, will provide evidence to assist health policy decision makers interpret economic evaluations in this field. In addition, we will identify gaps in the current literature to inform future-related research. SYSTEMATIC REVIEW REGISTRATION: Prospero CRD42017062236.
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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.