Evidence map›Paper›PMID 40230480›Full record

ArticleFrontiers in endocrinology2025

Predict and prevent microvascular complications of type 2 diabetes: a cross-sectional and longitudinal study in Chinese communities.

Zhaoxiang Liu, Lianhao Zhou, Wenhui Zhao, Lixia Jin, Jinping Zhang, Yajing Zhang, Yufeng Li, Guixia Deng, Jiquan He, Xinghua Zhao and 5 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

15 authors.

Zhaoxiang Liu *Department of Endocrinology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.
Lianhao Zhou *Department of Electronic Engineering, Tsinghua University, Beijing, China.
Wenhui ZhaoDepartment of Endocrinology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.
Lixia JinDepartment of Endocrinology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.
Jinping ZhangDepartment of Endocrinology, China-Japan Friendship Hospital, Beijing, China.
Yajing ZhangDepartment of Endocrinology, Beijing Pinggu District Hospital, Beijing, China.
Yufeng LiDepartment of Endocrinology, Beijing Pinggu District Hospital, Beijing, China.
Guixia DengDepartment of Endocrinology, Beijing Pinggu District Yukou Community Central Health Center, Beijing, China.
Jiquan HeDepartment of Endocrinology, Beijing Pinggu District Xiagezhuang Township Hospital, Beijing, China.
Xinghua ZhaoDepartment of Endocrinology, Beijing Huairou District Yangsong Township Hospital, Beijing, China.
Wenli ZhengDepartment of Endocrinology, Beijing Daxing District Yinghai Community Central Health Center, Beijing, China.
Yong TianDepartment of Endocrinology, Beijing Huairou Hospital, Beijing, China.
Ji WuDepartment of Electronic Engineering, Tsinghua University, Beijing, China.
Jianzhong XiaoDepartment of Endocrinology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.
Jiandong GaoDepartment of Electronic Engineering, Tsinghua University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study investigates the incidence, predictors, and preventive strategies for microvascular complications in type 2 diabetes patients in community settings. Methods: Data were collected from 3,008 type 2 diabetes patients enrolled across 31 clinics in Beijing and Hebei. Prevalence and incidence of diabetic kidney disease (DKD), diabetic retinopathy (DR), and diabetic peripheral neuropathy (DPN) were assessed. Predictors were identified using XGBoost and Cox regression, and the impact of lifestyle and multifactorial interventions (MFI) was analyzed. Results: The prevalence of DKD, DR, and DPN were 39.5%, 26.2%, and 27.1%, respectively, with incidences of 74, 21, and 28 per 1000-person year. XGBoost identified that diabetes duration, age, HbA1c, FBG, triglyceride, BP, serum creatinine, proteinuria, aspirin and statin use were associated with those microvascular complications. The risk of DKD increased more rapidly as HbA1c exceeded 7.5% and decreased as blood pressure was maintained below 120/70 mmHg. Cox regression models showed that community-based intervention, including lifestyle modifications, were associated with a lower risk of DR and DPN. The study also found that higher variability in HbA1c and albumin-to-creatinine ratio (ACR) was associated with an increased risk of microvascular complications. Conclusions: Community-based interventions significantly reduce the of DR and DPN, highlighting the need for individualized glycemic and BP management in primary care. The findings emphasize the importance of comprehensive management strategies to prevent the development and progression of microvascular complications in type 2 diabetes patients. Clinical trial registration: http://www.chictr.org.cn/, identifier ChiCTR-TRC-13003222.

Indexed as

Diabetes Mellitus, Type 2Diabetic AngiopathiesDiabetic NephropathiesDiabetic NeuropathiesDiabetic RetinopathyAgedChinaCross-Sectional StudiesEast Asian PeopleFemaleFollow-Up StudiesHumansIncidenceLongitudinal StudiesMaleMiddle Ageddiabetes kidney diseasediabetic peripheral neuropathydiabetic retinopathymachine learningtype 2 diabetes

Identifiers

PMID40230480
PMCPMC11994441

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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.