Evidence map›Paper›PMID 42244283›Full record

ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2026

[Effect of glycemic variability on the efficacy of artificial pancreas systems: A real-world study].

Qin Wang, Xianming Li, Hao Wang, Xiumei Wu, Xifeng Zeng, Yu Ding, Xueying Zheng

Abstract readEnglish Abstract
In one paragraph

Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 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
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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

7 authors.

Qin WangDepartment of Endocrinology, First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital), Hefei 230001. q18356144576@163.com.
Xianming LiDepartment of Endocrinology, First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital), Hefei 230001.
Hao WangGraduate School of Bengbu Medical University, Bengbu 233030.
Xiumei WuDepartment of Geriatric Endocrinology, Guangdong Geriatrics Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510000.
Xifeng ZengShenzhen Aibowei Biotechnology Co., Ltd., Shenzhen 518000, China.
Yu DingDepartment of Endocrinology, First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital), Hefei 230001.
Xueying ZhengDepartment of Endocrinology, First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital), Hefei 230001. lxyzheng@ustc.edu.cn.

Funding

China 2023ZD0509100
6 · The paper itself

Abstract

objectivesThe artificial pancreas system (APS) has become an important technological approach for the treatment of type 1 diabetes mellitus (T1DM). However, whether patients with different baseline levels of coefficient of variation (

methodsThis retrospective real-world study enrolled patients with T1DM who initiated AndroidAPS (AAPS) through online diabetes communities between January 2019 and April 2024. All participants continuously used AAPS for at least 3 months, and each open-loop interruption lasted no longer than 7 d. Original continuous glucose monitoring (CGM) data were obtained from the Nightscout cloud platform. CGM data from the first 7 d after AAPS initiation were used as baseline values, and the study period was defined as the first 3 months after AAPS initiation. According to internationally recommended cutoff values, patients were categorized into a glycemic stability group (

resultsA total of 132 patients with T1DM were included, among whom 88 (66.67%) were assigned to the glycemic stability group and 44 (33.33%) to the glycemic instability group. No statistically significant differences were observed between the 2 groups in sex, age, body mass index (BMI), disease duration, glycated hemoglobin A1c (HbA1c) at diagnosis, or chronic complications (all

conclusionsBaseline

Indexed as

Blood GlucoseDiabetes Mellitus, Type 1InsulinPancreas, ArtificialAdultContinuous Glucose MonitoringFemaleGlycated HemoglobinGlycemic ControlHumansHypoglycemic AgentsMaleRetrospective StudiesBlood GlucoseGlycated HemoglobinHypoglycemic AgentsInsulinartificial pancreas systemcoefficient of variationglycemic controlglycemic variabilitytype 1 diabetes mellitus

Identifiers

PMID42244283
PMCPMC13229942

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.