ArticlePersonalized medicine2018
Genomics-informed weight management in primary care: anticipated public interest.
Article in Personalized medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed, 1 citations in OpenAlex.
- Social and behavioral science at the forefront of genomics: Discovery, translation, and health equity.Social science & medicine (1982) · 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
3 authors at 1 institution in 1 country.
Funding
Abstract
aimAn exploratory survey assessed the influence of current and potential future genomic applications for weight management on individuals' desires to address weight management within primary care. Materials & methods: A convenience sample of 714 US adults aged 18-70 completed an online survey that presented three scenarios: no genomic information; current genomic capabilities; and potential future applications of genomics for weight management.
resultsParticipants had increased interest in weight management assistance through primary care when considering genomic applications in weight management, p (1,1.68) = 24.66, p < 0.001; this increase was more robust among individuals who felt their weight was important for their health, p (1,1.68) = 20.85, p < 0.001.
conclusionPrimary care systems may need to accommodate a rise in the volume of patients seeking weight management assistance as genomic approaches come to fruition.
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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.