Evidence map›Paper›PMID 40761611›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025

A Prospective Study of the Correlation Between Time in Range and Incidence of Diabetic Cardiovascular Autonomic Neuropathy in Patients with Type 2 Diabetes Mellitus.

Xiangxiang Shan, Shenhang Yao, Ben Hu, Chi Xu, Yonghong Cao, Wu Dai

Abstract read
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Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiangxiang ShanDepartment of Endocrinology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, 230011, People's Republic of China.ORCID 0009-0008-4969-7060
Shenhang YaoDepartment of Endocrinology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, 230011, People's Republic of China.
Ben HuThe Fifth Clinical School of Medicine, Anhui Medical University, Hefei, Anhui, 230032, People's Republic of China.ORCID 0009-0009-1311-0253
Chi XuDepartment of Endocrinology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, 230011, People's Republic of China.
Yonghong CaoDepartment of Endocrinology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, 230011, People's Republic of China.
Wu DaiDepartment of Endocrinology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, 230011, People's Republic of China.ORCID 0009-0001-8848-4673

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the correlation between time in range (TIR) and the risk of cardiovascular autonomic neuropathy (CAN) development in patients with Type 2 diabetes mellitus (T2DM). Patients and Methods: This prospective cohort study enrolled patients with type 2 diabetes mellitus (T2DM) hospitalized and followed at the Department of Endocrinology, Hefei Hospital of Anhui Medical University, between September 2020 and July 2024. All participants underwent standardized cardiovascular autonomic neuropathy (CAN) assessment via the Ewing test, and time in range (TIR) was derived from baseline continuous glucose monitoring (CGM) data. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for CAN incidence, adjusted for relevant covariates. Results: Over a median follow-up of 25.0 months, 123 of 196 participants (62.8%) were diagnosed with CAN. The CAN group exhibited longer diabetes duration, lower time in range (TIR) and body mass index (BMI), higher time above range (TAR), mean glucose (MG), urinary albumin-to-creatinine ratio (UACR), and higher insulin use rates. Participants with low TIR were older, had longer diabetes duration, and displayed: 1. Higher fasting plasma glucose (FPG), HbA1c, and LDL-C levels; 2. Elevated glycemic variability (MAGE, CV, LAGE, SD, MG, TAR) via continuous glucose monitoring (CGM); 3. Greater likelihood of insulin therapy. All differences were statistically significant (P < 0.05). Multivariable Cox regression analyses, adjusted for key covariates (eg, age, HbA1c, insulin use), demonstrated an inverse association between TIR and CAN incidence. Conclusion: Lower TIR is an independent risk factor for CAN in T2DM patients, with higher TIR levels associated with reduced CAN risk (P < 0.05).

Indexed as

cardiovascular autonomic neuropathycohort studytime in rangetype 2 diabetes

Identifiers

PMID40761611
PMCPMC12318836

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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.