Evidence mapPaperPMID 42398020Full record

ArticleJournal of medical Internet research2026

Impact of Telemedicine-Enhanced Integrated Management of Gestational Diabetes on Pregnancy Outcomes and Glycemic Control: Real-World Study Using TangMama App.

Jing Wang, Qunhua Wang, Yujie Liu, Rong Kang, Chenghua Li, Yixin Gong, Tian Wei, Qin Wang, Xianming Li, Xueying Zheng and 3 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Jing WangDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of USTC, University of Science and Technology of China, No. 17 Lujiang Road, Hefei, Anhui, 230001, China, 86 0551 62283691.ORCID http://orcid.org/0009-0005-1973-7453
Qunhua WangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, China.ORCID http://orcid.org/0009-0006-2816-7090
Yujie LiuDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, China.ORCID http://orcid.org/0000-0003-3634-1125
Rong KangDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of USTC, University of Science and Technology of China, No. 17 Lujiang Road, Hefei, Anhui, 230001, China, 86 0551 62283691.ORCID http://orcid.org/0009-0002-5158-618X
Chenghua LiDepartment of Cardiology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, China.ORCID http://orcid.org/0009-0001-1323-3060
Yixin GongDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of USTC, University of Science and Technology of China, No. 17 Lujiang Road, Hefei, Anhui, 230001, China, 86 0551 62283691.ORCID http://orcid.org/0000-0003-3496-6498
Tian WeiDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of USTC, University of Science and Technology of China, No. 17 Lujiang Road, Hefei, Anhui, 230001, China, 86 0551 62283691.ORCID http://orcid.org/0009-0000-8939-3688
Qin WangDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of USTC, University of Science and Technology of China, No. 17 Lujiang Road, Hefei, Anhui, 230001, China, 86 0551 62283691.ORCID http://orcid.org/0009-0009-9702-188X
Xianming LiDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of USTC, University of Science and Technology of China, No. 17 Lujiang Road, Hefei, Anhui, 230001, China, 86 0551 62283691.ORCID http://orcid.org/0009-0000-7871-5389
Xueying ZhengDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of USTC, University of Science and Technology of China, No. 17 Lujiang Road, Hefei, Anhui, 230001, China, 86 0551 62283691.ORCID http://orcid.org/0000-0001-8395-9476
Hongbo ChenDepartment of Obstetrics and Gynecology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.ORCID http://orcid.org/0000-0002-1285-7269
Sihui Luo *Department of Endocrinology and Metabolism, The First Affiliated Hospital of USTC, University of Science and Technology of China, No. 17 Lujiang Road, Hefei, Anhui, 230001, China, 86 0551 62283691.ORCID http://orcid.org/0000-0001-8503-0310
Jianping Weng *Department of Endocrinology and Metabolism, The First Affiliated Hospital of USTC, University of Science and Technology of China, No. 17 Lujiang Road, Hefei, Anhui, 230001, China, 86 0551 62283691.ORCID http://orcid.org/0000-0002-7889-1697

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gestational diabetes mellitus (GDM) is associated with substantial risks of adverse maternal and neonatal outcomes. Contemporary management approaches for GDM exhibit insufficient implementation, resulting in suboptimal glycemic control and preventable perinatal complications. The rapid evolution of mobile health technologies offers potential to enhance GDM care, yet evidence from large real-world studies remains limited. Objective: This study aimed to evaluate the impact of a telemedicine-enhanced integrated management system on pregnancy outcomes and glycemic control in women with GDM and to explore the dose-response relationship between telemedicine engagement intensity and clinical outcomes. Methods: In this real-world, prospective cohort study conducted at a provincial-level medical center in China, women with GDM were categorized into a standard care group and a telemedicine-enhanced group receiving the TangMama smartphone app in addition to standard care. We compared pregnancy outcomes and glycemic parameters between the 2 groups in an inverse probability of treatment weighting population based on propensity scores. Mediation analyses and dose-response analyses were additionally conducted to explore potential mechanisms and engagement effects. Results: A total of 4621 women with GDM were included, with 1711 in the telemedicine-enhanced group and 2910 in the standard care group. Upon inverse probability of treatment weighting analysis, the telemedicine-enhanced group demonstrated significantly lower gestational weight gain (adjusted mean difference -1.49 kg, 95% CI -1.81 to -1.17), reduced rates of excessive gestational weight gain (adjusted odds ratio [aOR] 0.61, 95% CI 0.54-0.69), cesarean section (aOR 0.80, 95% CI 0.71-0.91), hypertensive disorders in pregnancy (aOR 0.76, 95% CI 0.64-0.90), and pre-eclampsia (aOR 0.64, 95% CI 0.49-0.83). Glycemic control in the third trimester was significantly improved, with lower glycated hemoglobin A1c (HbA1c) levels (adjusted mean difference -0.05%, 95% CI -0.08 to -0.03) and higher HbA1c on-target rates. For neonatal outcomes, telemedicine-enhanced management was associated with lower rates of preterm birth (aOR 0.47, 95% CI 0.38-0.59), large-for-gestational age (aOR 0.81, 95% CI 0.69-0.96), neonatal unit admission (aOR 0.80, 95% CI 0.71-0.91), neonatal hypoglycemia (aOR 0.64, 95% CI 0.45-0.93), and neonatal hyperbilirubinemia (aOR 0.69, 95% CI 0.58-0.82). Mediation analyses identified gestational weight gain and third-trimester fasting plasma glucose as significant mediators. Higher telemedicine engagement was associated with improved glycemic control and reduced adverse outcomes in a dose-response manner. Conclusions: Telemedicine-enhanced integrated management is associated with improved maternal glycemic control and substantial reductions of adverse pregnancy outcomes among women with GDM. The observed dose-response relationship between engagement intensity and outcomes underscores the importance of promoting active patient participation. These findings support the broader integration of telemedicine into routine GDM care pathways to optimize maternal and neonatal health.

Indexed as

Diabetes, GestationalGlycemic ControlTelemedicineBlood GlucoseChinaFemaleHumansMobile ApplicationsPregnancyProspective StudiesBlood Glucosedigital healthgestational diabetesgestational diabetes mellitusmobile phonepregnancy outcomestelemedicine

Identifiers

PMID42398020
PMCPMC13331329

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.