Evidence map›Paper›PMID 40228265›Full record

Observational studyMedicine2025

Evaluation of the efficacy of online healthcare system for the remote management of type 2 diabetes mellitus.

Wenjing Liu, Ying Li, Shan Gao, Xiuxiu Wang, Fanghua Zhang

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Wenjing LiuQingdao University, Qingdao Medical College, Qingdao, Shandong, China.ORCID 0009-0001-2573-8090
Ying LiDepartment of Endocrinology, Qingdao Central Hospital, University of Health and Rehabilitation Sciences (Qingdao Central Hospital), Qingdao 266042, Shandong, China.
Shan GaoDepartment of Endocrinology, Qingdao Central Hospital, University of Health and Rehabilitation Sciences (Qingdao Central Hospital), Qingdao 266042, Shandong, China.
Xiuxiu WangDepartment of Endocrinology, Qingdao Central Hospital, University of Health and Rehabilitation Sciences (Qingdao Central Hospital), Qingdao 266042, Shandong, China.
Fanghua ZhangDepartment of Endocrinology, Qingdao Central Hospital, University of Health and Rehabilitation Sciences (Qingdao Central Hospital), Qingdao 266042, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus has emerged as a globally prevalent chronic disease among middle-aged and elderly populations, with type 2 diabetes mellitus (T2DM) constituting over 90% of diagnosed cases. The pathophysiological alterations and associated complications of this metabolic disorder exert profound detrimental effects on patients' quality of life and long-term health outcomes. The study aimed to investigate the impact of an online healthcare system on glycated hemoglobin (HbA1c), low-density lipoprotein cholesterol (LDL-C), body mass index (BMI), and blood pressure (BP) in patients with type 2 diabetes mellitus. A total of 950 patients with type 2 diabetes mellitus were enrolled in the online healthcare platform and subsequently categorized into 2 groups based on their visit frequency over a period of approximately 6 months (180 days ± 10%). The control group included 203 patients with only 1 visit, while the observation group comprised 747 patients with twice or more. Comparative analysis was conducted between the 2 groups to assess the levels of HbA1c, LDL-C, BMI, and BP control, as well as compliance rates. The analysis revealed that the observation group showed notably lower levels of HbA1c, LDL-C, and BP compared to the control group. While there was no significant variance in BMI between the groups, the observation group experienced a substantial reduction in BMI over the 6-month period. Our findings substantiate that telemedicine complemented by an online healthcare system, based on the traditional medical model, effectively regulated HbA1c, LDL-C, BMI, and BP in patients with type 2 diabetes mellitus. This approach facilitates enhanced patient self-management, improved disease knowledge, better quality of life, and favorable prognosis.

Indexed as

Diabetes Mellitus, Type 2TelemedicineAgedBlood PressureBody Mass IndexCholesterol, LDLFemaleGlycated HemoglobinHumansMaleMiddle AgedQuality of LifeCholesterol, LDLGlycated Hemoglobinonline healthcare systemremote managementtelemedicinetraditional medicinetype 2 diabetes mellitus

Identifiers

PMID40228265
PMCPMC11999414

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.