Evidence map›Paper›PMID 26627489›Full record

ReviewCurrent obesity reports2015

Obesity Genes, Personalized Medicine, and Public Health Policy.

Timothy Caulfield

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current obesity reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 360-Degree Perspectives on Obesity.Medicina (Kaunas, Lithuania) · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Timothy CaulfieldFaculty of Law and School of Public Health, 461 Law Centre, University of Alberta, Edmonton, AB, T6G 2H5, Canada. Caulfield@ualberta.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The personalized medicine movement-also known as precision medicine and personalized genomics-has embraced the belief that genetic risk information can be used to motivate healthier choices and meaningful behaviour change. While a genuinely exciting area of research, there are numerous policy issues associated with a focus on the use of genetic risk information to personalize approaches to obesity prevention.

Indexed as

Genetic Predisposition to DiseaseHealth PolicyPrecision MedicineGenetic TestingHumansObesityPharmacogeneticsGenetic testingLawObesity policyPersonalized medicine

Identifiers

PMID26627489

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.