Evidence map›Paper›PMID 41069142›Full record

ArticleAnnals of medicine2025

Effectiveness of metabolic management centers online tools in patients with type 2 diabetes.

Miao Xu, Jialin Li, Ying Peng, Fengmei Xu, Qidong Zheng, Yufan Wang, Tingyu Ke, Dong Zhao, Yuancheng Dai, Qijuan Dong and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of medicine, 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. Article
  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

15 authors.

Miao XuDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Ningbo University, Ningbo, China.
Jialin LiDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Ningbo University, Ningbo, China.
Ying PengDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Fengmei XuDepartment of Endocrinology and Metabolism, Hebi Coal (group). LTD. General Hospital, Hebi, China.
Qidong ZhengDepartment of Internal medicine, The Second People's Hospital of Yuhuan, Yuhuan, China.
Yufan WangDepartment of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tingyu KeDepartment of Endocrinology, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Dong ZhaoCenter for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, China.
Yuancheng DaiDepartment of Internal medicine of traditional Chinese medicine, Sheyang Diabetes Hospital, Yancheng, China.
Qijuan DongDepartment of Endocrinology and Metabolism, People's Hospital of Zhengzhou Affiliated Henan University of Chinese Medicine, Zhengzhou, China.
Bangqun JiDepartment of Endocrinology, Xingyi People's Hospital, Xingyi, China.
Juan ShiDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yifei ZhangDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Li LiDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Ningbo University, Ningbo, China.
Weiqing WangDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the value of National Metabolic Management Centers (MMC) specialized online tools, for the maintenance of metabolic control among patients with type 2 diabetes (T2DM). PATIENTS: This retrospective study enrolled T2DM patients from 10 MMCs (June 2017-April 2021) and divided into non- and application of online tools (non-AOT and AOT) groups. MEASUREMENTS: Propensity score matching (PSM) was used to balance the characteristics of patients between groups. The effect of online tools was evaluated by the change in HbA1c, with additional stratified analyses in subgroups.

resultsAfter PSM, 12528 patients with T2DM were followed for a median of 15.88 (7.10, 24.27) months, the AOT group demonstrated better control of HbA1c (-0.90 [-2.60, 0.00] % vs. -0.70 [-2.20, 0.10] %,

conclusionsMMC online tools significantly improve metabolic outcomes, particularly for T2DM patients with younger age, lower education levels or poor baseline HbA1c control. They offer a scalable and effective model for out-of-hospital diabetes care.

Indexed as

Diabetes Mellitus, Type 2AgedBody Mass IndexFemaleGlycated HemoglobinHumansMaleMiddle AgedPropensity ScoreRetrospective StudiesGlycated Hemoglobinhemoglobin A1c protein, humanbody mass indexeducation levelglycaemic controlMMC online toolstype 2 diabetes

Identifiers

PMID41069142
PMCPMC12517409

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Registered trials

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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.