Evidence map›Paper›PMID 24648440›Full record

ArticleThe Diabetes educator2014

Genetic Testing and Type 2 Diabetes Risk Awareness.

Mary de Groot, Jennifer Wessel

Open access · greenAbstract read
In one paragraph

Article in The Diabetes educator, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 33% 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.

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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

2 authors at 1 institution in 1 country.

Mary de GrootSchool of Medicine, Indiana University, Indianapolis, IN, USA (Dr de Groot, Dr Wessel).
Jennifer WesselSchool of Medicine, Indiana University, Indianapolis, IN, USA (Dr de Groot, Dr Wessel).
Indiana University – Purdue University Indianapolis · US

Funding

Program ACTIVE II: Behavioral Depression Treatment for Type 2 DiabetesR18DK092765 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI DE GROOT, MARY K. · 2011 to 2015
$3.2M
NIDDK NIH HHS R18 DK092765
6 · The paper itself

Abstract

purposeThe purpose of this study was to examine the motivational, attitudinal, and behavioral predictors of interest in genetic testing (GT) in those with and without awareness of their risk for type 2 diabetes (T2DM).

methodsA convenience sample of adults visiting emergency departments, libraries, or an online research registry was surveyed. Responses from adults without diabetes who reported 1 or more risk factors for T2DM (eg, family history, body mass index > 25) were included in the analyses (n = 265).

resultsParticipants were 37 ± 11 years old, white (54%), and female (69%), with some college education (53%) and an annual income below $25 000 (44%). Approximately half (52%) expressed interest in GT for T2DM. Individuals were stratified by perceived risk for T2DM (risk aware or risk unaware). Among the risk aware, younger age (P < .04) predicted greater interest in GT. Among the risk unaware, family history of T2DM (P < .008) and preference to know genetic risk (P < .0002) predicted interest in GT. Both groups identified the need for low-cost GT.

conclusionsGT is an increasingly available and accurate tool to predict T2DM risk for patients. In this sample, GT was a salient tool for those with and without awareness of their T2DM risk. Financial accessibility is critical to use of this tool for both groups.

Indexed as

Genetic TestingAdultBody Mass IndexDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseHumansMaleMass ScreeningMiddle AgedMotivationRisk AssessmentRisk Factors

Identifiers

PMID24648440
PMCPMC4474775
OpenAlexW2143501090

What OpenQuestion holds

Textmetadata
LicenceTDM
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.