Evidence map›Paper›PMID 31323063›Full record

ArticlePloS one2019

Random plasma glucose predicts the diagnosis of diabetes.

Mary K Rhee, Yuk-Lam Ho, Sridharan Raghavan, Jason L Vassy, Kelly Cho, David Gagnon, Lisa R Staimez, Christopher N Ford, Peter W F Wilson, Lawrence S Phillips

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Prediabetes.Nature reviews. Disease primers · 2025
    Review
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  7. Article
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  18. Poor Medication Adherence in African Americans Is a Matter of Trust.Journal of racial and ethnic health disparities · 2021
    Review
  19. Alternative type 2 diabetes screening tests may reduce the number of U.S. adults with undiagnosed diabetes.Diabetic medicine : a journal of the British Diabetic Association · 2020
    Article
  20. 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

10 authors at 5 institutions in 1 country.

Mary K RheeAtlanta VA Health Care System, Decatur, Georgia, United States of America.ORCID 0000-0002-0747-1476
Yuk-Lam HoMAVERIC VA Boston Healthcare System, Boston, Massachusetts, United States of America.
Sridharan RaghavanVA Eastern Colorado Healthcare System, Aurora, Colorado, United States of America.
Jason L VassyMAVERIC VA Boston Healthcare System, Boston, Massachusetts, United States of America.ORCID 0000-0001-6113-5564
Kelly ChoMAVERIC VA Boston Healthcare System, Boston, Massachusetts, United States of America.
David GagnonMAVERIC VA Boston Healthcare System, Boston, Massachusetts, United States of America.ORCID 0000-0002-6367-3179
Lisa R StaimezHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.
Christopher N FordHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.
Peter W F WilsonAtlanta VA Health Care System, Decatur, Georgia, United States of America.
Lawrence S PhillipsAtlanta VA Health Care System, Decatur, Georgia, United States of America.
Emory University · USBrigham and Women's Hospital · USBoston University · USUniversity of Colorado Hospital · USVA Boston Healthcare System · US

Funding

Glycemia Reduction Approaches in Diabetes: A comparative effectiveness studyU01DK098246 · NIDDK · GEORGE WASHINGTON UNIVERSITY · PI KRAUSE-STEINRAUF, HEIDI, LACHIN, JOHN M · 2012 to 2022
$238.9M
Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
Translational Research Core - Engagement and Behavior ChangeP30DK111024 · NIDDK · EMORY UNIVERSITY · PI Mohammed Kumail Ali · 2016 to 2026
$13.4M
Screening for IGT: Glucose Challenge vs Predictive ModelR18DK066204 · NIDDK · EMORY UNIVERSITY · PI PHILLIPS, LAWRENCE S · 2004 to 2007
$2.9M
Vitamin D for Type 2 Diabetes (D2D trial)U34DK091958 · NIDDK · TUFTS MEDICAL CENTER · PI PITTAS, ANASTASSIOS G · 2011 to 2012
$792k
Reach, Outcomes and System Impacts of the VA's National Weight Loss Program, MOVER21DK099716 · NIDDK · EMORY UNIVERSITY · PI PHILLIPS, LAWRENCE S · 2014 to 2015
$321k
Latent tuberculosis infection and risk of type 2 diabetes mellitus in US veteransR03AI133172 · NIAID · GEORGIA STATE UNIVERSITY · PI MAGEE, MATTHEW JAMES · 2018 to 2019
$158k
Machine Learning and Longitudinal Analyses of Metformin Response Among VeteransIK2CX001907 · VA · VA EASTERN COLORADO HEALTH CARE SYSTEM · PI RAGHAVAN, SRIDHARAN · 2019 to 2023
–
BLRD VA I01 BX003340CSRD VA I01 CX001025CSRD VA I01 CX001737CSRD VA IK2 CX001262CSRD VA IK2 CX001907NCATS NIH HHS UL1 TR000454NIAID NIH HHS R03 AI133172NIDDK NIH HHS P30 DK111024NIDDK NIH HHS R18 DK066204NIDDK NIH HHS R21 DK099716NIDDK NIH HHS U01 DK098246NIDDK NIH HHS U34 DK091958
6 · The paper itself

Abstract

aims/hypothesisEarly recognition of those at high risk for diabetes as well as diabetes itself can permit preventive management, but many Americans with diabetes are undiagnosed. We sought to determine whether routinely available outpatient random plasma glucose (RPG) would be useful to facilitate the diagnosis of diabetes.

methodsRetrospective cohort study of 942,446 U.S. Veterans without diagnosed diabetes, ≥3 RPG in a baseline year, and ≥1 primary care visit/year during 5-year follow-up. The primary outcome was incident diabetes (defined by diagnostic codes and outpatient prescription of a diabetes drug).

resultsOver 5 years, 94,599 were diagnosed with diabetes [DIAB] while 847,847 were not [NONDIAB]. Baseline demographics of DIAB and NONDIAB were clinically similar, except DIAB had higher BMI (32 vs. 28 kg/m2) and RPG (150 vs. 107 mg/dl), and were more likely to have Black race (18% vs. 15%), all p<0.001. ROC area for prediction of DIAB diagnosis within 1 year by demographic factors was 0.701, and 0.708 with addition of SBP, non-HDL cholesterol, and smoking. These were significantly less than that for prediction by baseline RPG alone (≥2 RPGs at/above a given level, ROC 0.878, p<0.001), which improved slightly when other factors were added (ROC 0.900, p<0.001). Having ≥2 RPGs ≥115 mg/dl had specificity 77% and sensitivity 87%, and ≥2 RPGs ≥130 mg/dl had specificity 93% and sensitivity 59%. For predicting diagnosis within 3 and 5 years by RPG alone, ROC was reduced but remained substantial (ROC 0.839 and 0.803, respectively).

conclusionsRPG levels below the diabetes "diagnostic" range (≥200 mg/dl) provide good discrimination for follow-up diagnosis. Use of such levels-obtained opportunistically, during outpatient visits-could signal the need for further testing, allow preventive intervention in high risk individuals before onset of disease, and lead to earlier identification of diabetes.

Indexed as

Blood GlucoseAdultAgedDiabetes MellitusFemaleHumansMaleMass ScreeningMiddle AgedOdds RatioPrognosisReproducibility of ResultsRetrospective StudiesROC CurveSensitivity and SpecificityYoung AdultBlood Glucose

Identifiers

PMID31323063
PMCPMC6641200
OpenAlexW2962935082

What OpenQuestion holds

Textmetadata
LicenceCC0
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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.