Evidence map›Paper›PMID 40450128›Full record

ArticleHormones (Athens, Greece)2025

Exploration of the relationship between Graves' eye disease and type 2 diabetes based on biomarkers.

Yu Guan, Meng Fan, Xiaolin Ren, Siyuan Zhang, Chun Cao, Jingbing Lan, Qiongfang Cao, Tiecheng Zhang, Fan Xu, Tao Zhang

Erratum issuedAbstract read
In one paragraph

Article in Hormones (Athens, Greece), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

10 authors.

Yu Guan *Department of Ophthalmology, The Second Affiliated Hospital of Chengdu Medical College, Nuclear Industry 416 Hospital, Chengdu, 610051, Sichuan, China.
Meng Fan *Department of Pathology and Pathophysiology, School of Basic Medical Science, Chengdu Medical College, Chengdu, 610500, Sichuan, China.
Xiaolin Ren *Department of Biochemistry and Molecular Biology, School of Biological Sciences and Technology, Chengdu Medical College, Chengdu, 610500, Sichuan, China.
Siyuan Zhang *Department of Ophthalmology, The Second Affiliated Hospital of Chengdu Medical College, Nuclear Industry 416 Hospital, Chengdu, 610051, Sichuan, China.
Chun CaoDepartment of Biochemistry and Molecular Biology, School of Biological Sciences and Technology, Chengdu Medical College, Chengdu, 610500, Sichuan, China.
Jingbing LanDepartment of Biomedical and Experimental Teaching Demonstration Center, School of Bioscience and Technology, Chengdu Medical College, Chengdu, 610500, China.
Qiongfang CaoDepartment of Evidence-Based Medicine and Social Medicine, School of Public Health, Chengdu Medical College, Chengdu, 610500, Sichuan, China.
Tiecheng ZhangDepartment of Evidence-Based Medicine and Social Medicine, School of Public Health, Chengdu Medical College, Chengdu, 610500, Sichuan, China.
Fan XuDepartment of Evidence-Based Medicine and Social Medicine, School of Public Health, Chengdu Medical College, Chengdu, 610500, Sichuan, China. xufan@cmc.edu.cn.ORCID http://orcid.org/0000-0001-9984-2854
Tao ZhangDepartment of Biochemistry and Molecular Biology, School of Biological Sciences and Technology, Chengdu Medical College, Chengdu, 610500, Sichuan, China. ztbill@cmc.edu.cn.

Funding

Key discipline project in the School of Public Health No.21National Science Foundation of China No. 82103729Sichuan Provincial Administration of Traditional Chinese Medicine 2023MS100Sichuan Provincial Key Laboratory of Nursing HLKF2023(F)-1Sichuan Provincial Key Research Base of Social Sciences, Sichuan Research Center for Applied Psychology CSXL-23202the National Key R&D Program of China NO.2023YFE0108400
6 · The paper itself

Abstract

purposeThe development of Graves' ophthalmopathy (GO) is silent and can be accompanied by type 2 diabetes (T2D). However, the early diagnosis of these two conditions remains difficult.

methodsWe evaluated a total of 123 patients with T2D and GO and 128 patients with GO treated in our hospital from 01 May 2016 to 31 May 2022. We determined the levels of several biomarkers and developed a regression model to evaluate the diagnostic efficacy of these biomarkers.

resultsUnivariate analysis showed that age and thyroid-stimulating hormone (TSH), free triiodothyronine (FT3), free thyroxine (FT4), glycated haemoglobin (HbA1c), and fasting glucose levels were significantly different in the GO-T2D group compared with the GO group. In the multivariate logistic regression analysis, FT3 and FT4 levels lost their statistical significance when the other factors remained unchanged. Older age and higher TSH, HbA1c, and glucose levels were associated with an increased likelihood of having GO-T2DM. The regression model for diagnosing GO and GO-T2D presented an R

conclusionAge and TSH, HbA1c, and glucose levels are effective predictors of GO and GO-T2D. Therefore, routine examination of these biomarkers in patients with GO could help to diagnose T2D early, thus allowing early treatment and a better prognosis.

Indexed as

Diabetes Mellitus, Type 2Graves OphthalmopathyAdultAgedBiomarkersBlood GlucoseFemaleGlycated HemoglobinHumansMaleMiddle AgedThyrotropinThyroxineTriiodothyronineBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanThyrotropinThyroxineTriiodothyronineBiomarker levelsGraves’ OphthalmopathyType 2 diabetes

Identifiers

PMID40450128
PMCPMC12513934

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.