Evidence map›Paper›PMID 22933432›Full record

Trial reportDiabetes care2013

Personalized genetic risk counseling to motivate diabetes prevention: a randomized trial.

Richard W Grant, Kelsey E O'Brien, Jessica L Waxler, Jason L Vassy, Linda M Delahanty, Laurie G Bissett, Robert C Green, Katherine G Stember, Candace Guiducci, Elyse R Park and 2 more

Registry-linked trialOpen access · hybridAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Diabetes care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04331535 (Pragmatic Randomized Trial of Polygenic Risk Scoring for Common Diseases in Primary Care), which is not on this map. Cited by 85 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 10 pooled it
10.8field-weighted citation impact, top 1% of its field
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.

NCT04331535 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Pragmatic Randomized Trial of Polygenic Risk Scoring for Common Diseases in Primary Care

TypeinterventionalSponsorBoston VA Research Institute, Inc.Ran2020 to 2025Enrolled1,076ConditionsCoronary Artery Disease, Atrial Fibrillation, Type 2 Diabetes, Colorectal CancerArmsPolygenic risk score (PRS)
3 · Its place in the literature

Who cites it

85 citing papers in PubMed, 10 syntheses or guidelines pooled it, 140 citations in OpenAlex.

  1. Are There Any Effective Behavior Change Strategies for Communicating Genetic Risk in Obesity Prevention and Body Weight Reduction Interventions?Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  5. Behavioral impact of return of genetic test results for complex disease: Systematic review and meta-analysis.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2018
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25 more citing papers are in PubMed but not listed here.

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

12 authors at 5 institutions in 1 country.

Richard W GrantDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA. richard.w.grant@kp.org
Kelsey E O'Brien
Jessica L Waxler
Jason L Vassy
Linda M Delahanty
Laurie G Bissett
Robert C Green
Katherine G Stember
Candace Guiducci
Elyse R Park
Jose C Florez
James B Meigs
Massachusetts General Hospital · USHarvard University · USBrigham and Women's Hospital · USBroad Institute · USKaiser Permanente · US

Funding

Epidemiology of Precursors to Type 2 DiabetesK24DK080140 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2007 to 2016
$1.9M
Using Genetic Risk Information to Enhance Diabetes PreventionR21DK084527 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI GRANT, RICHARD W · 2009 to 2010
$885k
NIDDK NIH HHS K24 DK080140NIDDK NIH HHS K24-DK080140NIDDK NIH HHS L30 DK089597NIDDK NIH HHS R21 DK084527NIDDK NIH HHS R21-DK84527
6 · The paper itself

Abstract

objectiveTo examine whether diabetes genetic risk testing and counseling can improve diabetes prevention behaviors. RESEARCH DESIGN AND

methodsWe conducted a randomized trial of diabetes genetic risk counseling among overweight patients at increased phenotypic risk for type 2 diabetes. Participants were randomly allocated to genetic testing versus no testing. Genetic risk was calculated by summing 36 single nucleotide polymorphisms associated with type 2 diabetes. Participants in the top and bottom score quartiles received individual genetic counseling before being enrolled with untested control participants in a 12-week, validated, diabetes prevention program. Middle-risk quartile participants were not studied further. We examined the effect of this genetic counseling intervention on patient self-reported attitudes, program attendance, and weight loss, separately comparing higher-risk and lower-risk result recipients with control participants.

resultsThe 108 participants enrolled in the diabetes prevention program included 42 participants at higher diabetes genetic risk, 32 at lower diabetes genetic risk, and 34 untested control subjects. Mean age was 57.9 ± 10.6 years, 61% were men, and average BMI was 34.8 kg/m(2), with no differences among randomization groups. Participants attended 6.8 ± 4.3 group sessions and lost 8.5 ± 10.1 pounds, with 33 of 108 (30.6%) losing ≥5% body weight. There were few statistically significant differences in self-reported motivation, program attendance, or mean weight loss when higher-risk recipients and lower-risk recipients were compared with control subjects (P > 0.05 for all but one comparison).

conclusionsDiabetes genetic risk counseling with currently available variants does not significantly alter self-reported motivation or prevention program adherence for overweight individuals at risk for diabetes.

Indexed as

Genetic CounselingAgedDiabetes Mellitus, Type 2FemaleGenetic TestingHumansMaleMiddle AgedMotivationOverweight

Identifiers

PMID22933432
PMCPMC3526219
OpenAlexW2120292032

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.