Evidence map›Paper›PMID 41913315›Full record

ArticleDiabetes, obesity & metabolism2026

The Risk of Disease Progression of Type 1 Diabetes in First-Degree Relatives of People With Type 1 Diabetes: Design and Rationale of a Prospective, Longitudinal Study in China.

Lixin Guo, Xiaoping Luo, Yan Bi, Bingyan Cao, Guanping Dong, Sheng Jiang, Guijun Qin, Hong Qiao, Zhongyan Shan, Tao Yang and 5 more

Abstract readClinical Trial Protocol
In one paragraph

Article in Diabetes, obesity & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

15 authors.

Lixin GuoDepartment of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.ORCID 0000-0001-6863-1798
Xiaoping LuoDepartment of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yan BiDepartment of Endocrinology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.ORCID 0000-0003-3914-7854
Bingyan CaoDepartment of Endocrinology, Capital Center for Children's Health, Capital Medical University, Beijing, China.
Guanping DongDepartment of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Sheng JiangDepartment of Endocrinology, the First Affiliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Urumqi, China.
Guijun QinDepartment of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.ORCID 0000-0002-2503-7534
Hong QiaoDepartment of Endocrinology, Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Zhongyan ShanDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of China Medical University, Shenyang, China.
Tao YangDepartment of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID 0000-0001-6375-3622
Gaohui ZhuDepartment of Endocrinology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, China.
Min LiSanofi Investment Co., Ltd., Beijing, China.
Sunyinyan TangSanofi Investment Co., Ltd., Shanghai, China.
Minlu ZhangSanofi Investment Co., Ltd., Shanghai, China.
Wenjuan LiSanofi Investment Co., Ltd., Shanghai, China.

Funding

Sanofi China Investment Company
6 · The paper itself

Abstract

aimsIn China, information on individuals who test positive for islet autoantibodies (IAb), including single IAb-positive individuals and those with early-stage Type 1 diabetes (T1D), and their risk of progression to Stage 3 T1D is limited. The goal of this study is to assess the risk of progression to T1D in first-degree relatives (FDRs) of people with T1D in China. MATERIALS AND

methodsThis prospective, longitudinal study, being conducted at approximately 50 hospitals in China, will screen FDRs of individuals with T1D to identify those at risk for developing the disease by testing for the presence of IAb in the blood. IAb-positive individuals will undergo further testing for up to 5 years, with the primary objective of assessing their risk of Stage 3 T1D onset. During the monitoring period, participants with single IAb-positivity will be tested for glycated haemoglobin (HbA1c) and IAb every year; those with multiple IAb-positivity will have an HbA1c and oral glucose tolerance test (OGTT) every year (Stage 1 T1D), or OGTT or random blood glucose test in alternate 6-monthly intervals and HbA1c every 3 months (Stage 2 T1D). Participants who develop Stage 3 T1D during monitoring can undergo extended follow-up to assess changes in β-cell function, glycaemic outcomes and IAb status during the first 12 months after diagnosis. The study plans to enrol 5500 participants; enrolment is ongoing.

conclusionsThrough early screening and monitoring of disease progression in FDRs of T1D probands, this study will provide a comprehensive understanding of T1D progression in the Chinese population.

trial registrationChinese Clinical Trial Registry identifier: ChiCTR2600119032.

Indexed as

AutoantibodiesDiabetes Mellitus, Type 1AdolescentAdultChildChinaDisease ProgressionFamilyFemaleGenetic Predisposition to DiseaseGlucose Tolerance TestGlycated HemoglobinHumansIslets of LangerhansLongitudinal StudiesMaleAutoantibodiesGlycated Hemoglobinautoimmunitydisease preventionfirst‐degree relativespancreatic autoantibodiesrisk predictiontype 1 diabetes

Identifiers

PMID41913315
PMCPMC13146157

What Socratic holds

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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.