Evidence map›Paper›PMID 32812912›Full record

ArticleMetabolism open2020

Reproducibility of a prediabetes classification in a contemporary population.

Chhavi Chadha, Anastassios G Pittas, Christine W Lary, William C Knowler, Ranee Chatterjee, Lawrence S Phillips, Vanita R Aroda, Michael R Lewis, Richard Pratley, Myrlene A Staten and 4 more

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

Article in Metabolism open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

14 authors at 11 institutions in 1 country.

Chhavi ChadhaHealthPartners Institute, 8170 33rd Ave S, Bloomington, MN 55425, USA.
Anastassios G PittasTufts Medical Center, 800 Washington Street, Box #268, Boston, MA, 02111, USA.
Christine W LaryCenter for Outcomes Research and Evaluation, Maine Medical Center Research Institute, 509 Forest Avenue, Suite 200, Portland, ME, 04101, USA.
William C KnowlerNational Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA.
Ranee ChatterjeeDuke University, Division of General Internal Medicine, 200 Morris Street, 3rd Floor, Durham, NC, 27701, USA.
Lawrence S PhillipsAtlanta VA Medical Center, 1670 Clairmont Rd, 151CSC, Decatur, GA, 30033, USA.
Vanita R ArodaMedStar Health Research Institute, 6525 Belcrest Road, #700, Hyattsville, MD, 20782, USA.
Michael R LewisDepartment of Pathology and Laboratory Medicine, University of Vermont, Burlington, VT, 05405, USA.
Richard PratleyAdvent Health Translational Research Institute for Metabolism and Diabetes, 301 East Princeton Street, Orlando, FL, 32804, USA.
Myrlene A StatenNational Institute of Diabetes and Digestive and Kidney Diseases, 6701 Democracy Boulevard, Bethesda, MD, 20892, USA.
Jason NelsonTufts Medical Center, 800 Washington Street, Box #268, Boston, MA, 02111, USA.
Neda RasouliUniversity of Colorado, School of Medicine, 13001 E 17th Place, Aurora, CO, 80045, USA.
Irwin BrodskyMaine Medical Partners Endocrinology and Diabetes Center, 175 US Route 1, Scarborough, ME, 04074, USA.
D2d Research Group
National Institute of Diabetes and Digestive and Kidney Diseases · USTufts Medical Center · USDuke University · USEmory University · USHealthPartners · USMaine Medical Center · USMaine Medical Center · USMedStar Health · USTranslational Research Institute for Metabolism and Diabetes · USUniversity of Vermont · USVA Eastern Colorado Health Care System · US

Funding

Vitamin D and Type 2 Diabetes (D2d)U01DK098245 · NIDDK · TUFTS MEDICAL CENTER · PI PITTAS, ANASTASSIOS G · 2013 to 2020
$45.6M
Primary and Tertiary Prevention of type 2 diabetesZIADK075078 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI HANSON, ROBERT · 2012 to 2025
$4.6M
NIDDK NIH HHS U01 DK098245
6 · The paper itself

Abstract

aimsTo assess whether meeting both fasting plasma glucose (FPG) and HbA1c criteria for prediabetes in people at high risk indicates with near certainty the presence of dysglycemia on repeat testing.

methodsObservational study using data from Vitamin D and Type 2 Diabetes (D2d) study. HbA1c, FPG were measured at screening visit 1; FPG, HbA1c and 2 h plasma glucose (2hPG) measured at screening visit 2 (a median of 21 days later); participants classified as having normal glucose regulation (all 3 tests in normal range), prediabetes or diabetes (at least 1 of 3 tests in diabetes range). A predictive model was developed to estimate the probability of confirming dysglycemia and for detecting diabetes at screening visit 2 based on values of FPG and HbA1c at screening visit 1.

resultsOf 1271 participants who met both FPG and HbA1c criteria for prediabetes at screening visit 1, 98.6% exhibited dysglycemia (defined as prediabetes or diabetes) on repeat testing (84.5% were classified as having prediabetes, 14.1% were reclassified as having diabetes). Of those with diabetes, 62.6% were identified by 2hPG alone.

conclusionsCombined measurement of FPG and HbA1c is a reliable and reproducible measure to identify presence of dysglycemia among people at high risk. A prediction model is provided to help clinicians decide whether an oral glucose tolerance test will provide value in detecting diabetes based on the 2hPG criterion.

Indexed as

DiabetesDysglycemiaFPGHbA1cOral glucose tolerance testingPrediabetes

Identifiers

PMID32812912
PMCPMC7424833
OpenAlexW3009047252

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.