Evidence mapPaperPMID 34343296Full record

Trial reportThe Journal of clinical endocrinology and metabolism2021

Insulin Secretion Predicts the Response to Antidiabetic Therapy in Patients With New-onset Diabetes.

S Abdelgani, C Puckett, J Adams, C Triplitt, R A DeFronzo, M Abdul-Ghani

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The Journal of clinical endocrinology and metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Exploring the potential role of C-peptide in type 2 diabetes management.Diabetic medicine : a journal of the British Diabetic Association · 2025
    Review
  3. Article
  4. 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

6 authors at 1 institution in 1 country.

S AbdelganiDivision of Diabetes, University of Texas Health Science Center and Texas Diabetes Institute, San Antonio, Texas, USA.
C PuckettDivision of Diabetes, University of Texas Health Science Center and Texas Diabetes Institute, San Antonio, Texas, USA.
J AdamsDivision of Diabetes, University of Texas Health Science Center and Texas Diabetes Institute, San Antonio, Texas, USA.
C TriplittDivision of Diabetes, University of Texas Health Science Center and Texas Diabetes Institute, San Antonio, Texas, USA.
R A DeFronzoDivision of Diabetes, University of Texas Health Science Center and Texas Diabetes Institute, San Antonio, Texas, USA.ORCID 0000-0003-3839-1724
M Abdul-GhaniDivision of Diabetes, University of Texas Health Science Center and Texas Diabetes Institute, San Antonio, Texas, USA.ORCID 0000-0003-4556-1787
The University of Texas Health Science Center at San Antonio · US

Funding

Ketones, Muscle Metabolism, and SGLT2 InhibitorsR01DK107680 · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · 2025 to 2025
$583k
NIDDK NIH HHS DK107680NIDDK NIH HHS R01 DK107680
6 · The paper itself

Abstract

contextThe results of the present study demonstrate that beta cell function in newly diagnosed T2DM patients is the key predictor of response to glucose lowering medications and provides a practical tool (C-Pep120 /C-Pep0) to guide the choice of glucose lowering agent.

objectiveThis work aims to identify predictors for individualization of antidiabetic therapy in patients with new-onset type 2 diabetes mellitus (T2DM).

methodsA total of 261 drug-naive participants in the Efficacy and Durability of Initial Combination Therapy for Type 2 Diabetes (EDICT) study, with new-onset diabetes, were randomly assigned in a single-center study to receive 1) metformin followed by glipizide and then insulin glargine on failure to achieve glycated hemoglobin A1c (HbA1c) less than 6.5%, or 2) initial triple therapy with metformin/pioglitazone/exenatide. Each patient received a 75-g oral glucose tolerance test (OGTT) prior to start of therapy. Factors that predicted response to therapy were identified using the area under the receiver operating characteristic curve method.

resultsThirty-nine patients started and maintained the treatment goal (HbA1c < 6.5%) on metformin only, and did not require intensification of antihyperglycemic therapy; 54 patients required addition of glipizide to metformin; and 47 patients required insulin addition to metformin plus glipizide for glucose control. The plasma C-peptide concentration (C-Pep)120/C-Pep0 ratio during the OGTT was the strongest predictor of response to therapy. Patients with a ratio less than 1.78 were more likely to require insulin for glucose control, whereas patients with a ratio greater than 2.65 were more likely to achieve glucose control with metformin monotherapy. In patients started on initial triple therapy, the HbA1c decreased independently of the C-Pep120/C-Pep0 ratio.

conclusionThe increase in C-Pep above fasting following glucose load predicts the response to antihyperglycemic therapy in patients with new-onset diabetes. C-Pep120/C-Pep0 provides a useful tool for the individualization of antihyperglycemic therapy in patients with new-onset T2DM.

Indexed as

Insulin SecretionAdultBiomarkersBlood GlucoseC-PeptideDiabetes Mellitus, Type 2FastingFemaleFollow-Up StudiesGlycated HemoglobinHumansHypoglycemic AgentsInsulinMaleMiddle AgedPrognosisBiomarkersBlood GlucoseC-PeptideGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulinglucose controlinsulin secretiontype 2 diabetes

Identifiers

PMID34343296
PMCPMC8787634
OpenAlexW3191119367

What Socratic holds

Textmetadata
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.