Evidence map›Paper›PMID 33813948›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2021

Choice of Intensive Lifestyle Change and/or Metformin after Shared Decision Making for Diabetes Prevention: Results from the Prediabetes Informed Decisions and Education (PRIDE) Study.

Tannaz Moin, Jacqueline M Martin, Carol M Mangione, Jonathan Grotts, Norman Turk, Keith C Norris, Chi-Hong Tseng, Kia Skrine Jeffers, Yelba Castellon-Lopez, Dominick L Frosch and 1 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Review
  6. 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

11 authors at 3 institutions in 1 country.

Tannaz MoinDavid Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Jacqueline M MartinJohns Hopkins University, Baltimore, MD, USA.
Carol M MangioneDavid Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Jonathan GrottsDavid Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Norman TurkDavid Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Keith C NorrisDavid Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Chi-Hong TsengDavid Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Kia Skrine JeffersDavid Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Yelba Castellon-LopezDavid Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Dominick L FroschPalo Alto Medical Foundation for Health Care, Research and Education, Palo Alto, CA, USA.
O Kenrik DuruDavid Geffen School of Medicine, University of California, Los Angeles, CA, USA.
University of California, Los Angeles · USCenter for the Study of Healthcare Provider Behavior · USJohns Hopkins University · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
The Center for Health Improvement of Minority ElderlyP30AG021684 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Homero Erwin del Pino · 2002 to 2026
$19.7M
A Cluster-Randomized Trial of Pharmacist-Coordinated Implementation of the DPPR18DK105464 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DURU, OBIDIUGWU KENRIK, MANGIONE, CAROL M · 2015 to 2019
$3.3M
The UC DPP Study: Evaluating a Diabetes Prevention Initiative Across the University of California SystemR01DK124503 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MOIN, TANNAZ · 2020 to 2023
$2.0M
NCATS NIH HHS UL1 TR001881NIA NIH HHS P30 AG021684NIDDK NIH HHS R01 DK124503NIDDK NIH HHS R18 DK105464NIMHD NIH HHS L32 MD011958
6 · The paper itself

Abstract

introductionWhile the Diabetes Prevention Program Study demonstrated that intensive lifestyle change and metformin both reduce type 2 diabetes incidence, there are little data on patient preferences in real-world, clinical settings.

methodsThe Prediabetes Informed Decisions and Education (PRIDE) study was a cluster-randomized trial of shared decision making (SDM) for diabetes prevention. In PRIDE, pharmacists engaged patients with prediabetes in SDM using a decision aid with information about both evidence-based options. We recorded which diabetes prevention option(s) participants chose after the SDM visit. We also evaluated logistic regression models examining predictors of choosing intensive lifestyle change ± metformin, compared to metformin or usual care, and predictors of choosing metformin ± intensive lifestyle change, compared to intensive lifestyle change or usual care.

resultsAmong PRIDE participants (

conclusionsPatients with prediabetes are making choices for diabetes prevention that generally align with recommendations and expected benefits from the published literature. Our results are important for policy makers and clinicians, as well as program planners developing systemwide approaches for diabetes prevention.

Indexed as

Diabetes Mellitus, Type 2MetforminPrediabetic StateDecision Making, SharedFemaleHumansHypoglycemic AgentsLife StyleMaleMiddle AgedHypoglycemic AgentsMetformindiabetes preventionprediabetesshared decision making

Identifiers

PMID33813948
PMCPMC8192339
OpenAlexW3142556122

What OpenQuestion holds

Texttitle and abstract
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.