Evidence mapPaperPMID 32057962Full record

Trial reportDiabetes research and clinical practice2020

Clinical utility of 30-min plasma glucose for prediction of type 2 diabetes among people with prediabetes: Ancillary analysis of the diabetes community lifestyle improvement program.

Ram Jagannathan, Mary Beth Weber, Ranjit M Anjana, Harish Ranjani, Lisa R Staimez, Mohammed K Ali, Viswanathan Mohan, K M Venkat Narayan

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes research and clinical practice, 2020. 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
0.6field-weighted citation impact, top 32% 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, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. The Oral Glucose Tolerance Test: 100 Years Later.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    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

8 authors at 3 institutions in 2 countries.

Ram JagannathanDepartment of Medicine, Division of Hospital Medicine, Emory University School of Medicine, Atlanta, GA, USA. Electronic address: ram.jagannathan@emory.edu.
Mary Beth WeberEmory Global Diabetes Research Center, Hubert Department of Global Health, Emory University, Atlanta, GA, USA.
Ranjit M AnjanaMadras Diabetes Research Foundation, Chennai, India.
Harish RanjaniMadras Diabetes Research Foundation, Chennai, India.
Lisa R StaimezEmory Global Diabetes Research Center, Hubert Department of Global Health, Emory University, Atlanta, GA, USA.
Mohammed K AliEmory Global Diabetes Research Center, Hubert Department of Global Health, Emory University, Atlanta, GA, USA.
Viswanathan MohanMadras Diabetes Research Foundation, Chennai, India.
K M Venkat NarayanEmory Global Diabetes Research Center, Hubert Department of Global Health, Emory University, Atlanta, GA, USA.
Emory University · USMadras Diabetes Research Foundation · INEmory University Hospital · US

Funding

Technologies Advancing Translation - Regional CoreP30DK111024 · EMORY UNIVERSITY · 2025 to 2025
$775k
NHLBI NIH HHS HHSN268200900026CNHLBI NIH HHS R01 HL125442NIDDK NIH HHS P30 DK111024
6 · The paper itself

Abstract

aimsTo examine the clinical utility of 30-min plasma glucose (30-min-PG) measurement during an oral glucose tolerance (OGTT) in predicting type 2 diabetes (T2DM). RESEARCH DESIGN AND

methodsData from a 3-year, randomized, controlled, primary prevention trial among 548 Asian Indians with prediabetes were analyzed. Participants underwent OGTT with PG measurements at fasting, 30-min, and 2-h at baseline and annually until the end of the study. Multivariable Cox regression models were constructed to calculate the risk of developing diabetes based on 30-min-PG levels. Improvement in prediction performance gained by adding an elevated level of 30-min-PG over prediabetic categories was calculated using the area-under-curve (AUC), net-reclassification (NRI), and integrated discrimination improvement (IDI) statistics.

resultsAt the end of follow-up, 30.4% of individuals had been diagnosed with T2DM by ADA criteria. Based on the maximally selected log-rank statistics, the optimal 30-min-PG cut point for predicting incident T2DM was >182 mg/dl. Multivariable-adjusted Cox regression models showed an independent association between elevated 30-min-PG (>182 mg/dl) and incident diabetes (hazard ratio (95% CI): 1.85 [1.32, 2.59]; D

conclusionIn prediabetic individuals, baseline 30-min-PG independently predicted T2DM and significantly improved reclassification and discrimination. Therefore, 30-min-PG should be considered as part of the routine testing in addition to FPG and 2-h-PG for better risk stratification.

Indexed as

AdultBlood GlucoseDiabetes Mellitus, Type 2FemaleHumansLife StyleMalePrediabetic StatePublic HealthTime FactorsBlood Glucose30-min-plasma glucoseDiabetes predictionNet reclassification improvementOGTTPrediabetesPredictive utility

Identifiers

PMID32057962
PMCPMC7106975
OpenAlexW3005644762

What Socratic 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 Socratic graph.