Evidence map›Paper›PMID 30229480›Full record

ReviewCurrent diabetes reports2018

Building Toward a Population-Based Approach to Diabetes Screening and Prevention for US Adults.

Michael E Bowen, Julie A Schmittdiel, Jeffrey T Kullgren, Ronald T Ackermann, Matthew J O'Brien

Open access · greenAbstract readReview
In one paragraph

Review in Current diabetes reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
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  3. Article
  4. Article
  5. Review
  6. Article
  7. Machine learning for diabetes clinical decision support: a review.Advances in computational intelligence · 2022
    Review
  8. Observational
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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

5 authors at 5 institutions in 1 country.

Michael E BowenDivision of General Internal Medicine, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390-9169, USA. michael.bowen@utsouthwestern.edu.
Julie A SchmittdielKaiser Permanente Division of Research, Oakland, CA, USA.
Jeffrey T KullgrenVA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA.
Ronald T AckermannDivision of General Internal Medicine and Geriatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Matthew J O'BrienDivision of General Internal Medicine and Geriatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Kaiser Permanente · USNorthwestern Medicine · USNorthwestern University · USThe University of Texas Southwestern Medical Center · USUniversity of Michigan–Ann Arbor · US

Funding

Predicting Diabetes Risk Using Glucose DataK23DK104065 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI BOWEN, MICHAEL EDWARD · 2014 to 2018
$862k
Improving Diabetes Risk Assessment and Screening in Minority-Predominant Community Health Center PatientsR21DK112066 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI O'BRIEN, MATTHEW JAMES · 2016 to 2017
$429k
NIDDK NIH HHS K23 DK104065NIDDK NIH HHS R21 DK112066
6 · The paper itself

Abstract

purpose of reviewEvidence-based treatments for prediabetes can prevent and delay the development of type 2 diabetes in adults. In this review, we propose a framework for population-based diabetes prevention that links screening and prevention activities across key stakeholders. We also discuss gaps in current practice, while highlighting opportunities to improve diabetes screening and prevention efforts population-wide. RECENT

findingsAwareness of diabetes risk is low, and many adults with prediabetes are not identified through existing screening efforts. Accumulating evidence and policies support expansion of the Diabetes Prevention Program (DPP) into clinical and community settings. However, the infrastructure to facilitate referrals and promote data exchange among patients, clinical settings, and community-based DPP programs is lacking. Development of evidence-driven, scalable processes for assessing diabetes risk, screening eligible adults, and delivering preventive treatments are needed to effectively improve the glycemic health of the US adult population.

Indexed as

Mass ScreeningAdultDiabetes Mellitus, Type 2HumansLife StyleRisk AssessmentUnited StatesDiabetes preventionDiabetes risk assessmentDiabetes screeningPopulation health

Identifiers

PMID30229480
PMCPMC6953473
OpenAlexW2891991935

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.