Evidence mapPaperPMID 40747755Full record

ArticleJournal of diabetes2025

Construction and Implications of Nomogram for Predicting Sustained Glycemic Remission After Short-Term Intensive Insulin Therapy in Newly Diagnosed Type 2 Diabetes.

Lijuan Xu, Liehua Liu, Zhiwei Xie, Zhimin Huang, Hai Li, Juan Liu, Xiaoying He, Wanping Deng, Yanbing Li

Abstract read
In one paragraph

Article in Journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
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

2 citing papers in PubMed.

  1. Trial
  2. 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

9 authors.

Lijuan XuDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Liehua LiuDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-5361-4538
Zhiwei XiePeking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Zhimin HuangDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Hai LiDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Juan LiuDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Xiaoying HeDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Wanping DengDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Yanbing LiDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.ORCID https://orcid.org/0000-0003-3782-9210

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2022A1515012230Guangzhou Municipal Science and Technology Project 202002020053National Key R&D Program of China 2018YFC1314100National Natural Science Foundation of China 82070918Research and Development Program in Key Areas of Guangdong Province 2019B020230001
6 · The paper itself

Abstract

backgroundEarly short-term intensive insulin therapy may induce sustained glycemic remission in type 2 diabetes. However, patients' responses vary greatly. Exploring key factors to improve glycemic control and predict the probability of remission precisely is meaningful for future treatment.

methodsPatients with newly diagnosed type 2 diabetes receiving 2-3 weeks of intensive insulin therapy were followed up for at least 1 year in three randomized clinical trials. Data of theirs were extracted with the same inclusion criteria and divided into training and validation sets. A nomogram was constructed in the training set and tested in the internal validation set.

resultsAmong 302 patients with transient intensive insulin therapy, 162 (53.64%) patients achieved the 1-year glycemic remission. Severe hyperglycemia at baseline did not impede future remission, as the remission rate was 60.70% in those with HbA1c greater than 13%. Three parameters were identified as predictive factors in the nomogram: fasting glucose after short-term insulin treatment, mean glucose during insulin therapy, and postprandial glucose/fasting glucose ratio at baseline. The odds ratios were 0.06 (95% CI, 0.02-0.25), 0.41 (0.18-0.93) and 6.55 (1.39-30.89), respectively. Incorporating these factors, the nomogram achieved an accuracy of 81.50%.

conclusionShort-term intensive insulin therapy assists patients with newly diagnosed type 2 diabetes and significant hyperglycemia to achieve glycemic remission. A rigorous control of glucose during insulin treatment favors future remission. We construct a nomogram to predict sustained glycemic remission, which may help determine whether subsequent medication is needed and thus reduce both overtreatment and therapeutic inertia.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2Glycemic ControlHypoglycemic AgentsInsulinNomogramsAgedFemaleGlycated HemoglobinHumansMaleMiddle AgedRemission InductionTreatment OutcomeBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulinglycemic remissionintensive insulin therapypredictive nomogram

Identifiers

PMID40747755
PMCPMC12314641

What Socratic holds

Textmetadata
LicenceCC BY
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.