Evidence map›Paper›PMID 33411406›Full record

ArticleJournal of diabetes investigation2021

Identification of two novel subgroups in patients with diabetes mellitus and their association with clinical outcomes: A two-step cluster analysis.

Xiao-Fen Xiong, Yuan Yang, Ling Wei, Ying Xiao, Li Li, Lin Sun

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 7% of its field
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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

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  19. A novel scoring system for better management of small bowel obstruction.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
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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

6 authors at 1 institution in 1 country.

Xiao-Fen XiongDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.
Yuan YangDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.
Ling WeiDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.
Ying XiaoDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.
Li LiDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.
Lin SunDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-4544-0822
Central South University · CN

Funding

China Academy of Chinese Medical Sciences 2016YFC1305501China Academy of Chinese Medical Sciences 2018YFC1314002China Academy of Chinese Medical Sciences 81730018
6 · The paper itself

Abstract

AIMS/

introductionThe aim of this study was to determine whether distinct subphenotypes of patients with type 2 diabetes in the European classification exist in Chinese populations, and to further establish novel subphenotypes more suitable for Chinese populations. MATERIAL AND

methodsThe research retrospectively analyzed 5414 patients with type 2 diabetes from the National Clinical Research Center for Metabolic Diseases Diabetes Center in China, and a two-step cluster analysis was carried out. First, we confirmed the European classification in Chinese populations by six parameters, including age at disease onset, body mass index, glycosylated hemoglobin, homeostatic model assessment 2 to estimate β-cell function and insulin resistance, and glutamate decarboxylase antibodies. Furthermore, triglycerides and uric acid were added to refine the cluster analysis, and Cox regression was used to evaluate the risk of diabetic complications.

resultsJust three clusters were replicated in our cohort according to Emma Ahlqvist's European classification. When other variables were added to the cluster analysis, seven subgroups were identified, including five clusters of the European classification and two novel subgroups, namely, uric acid-related diabetes and inheritance-related diabetes. Compared with patients with inheritance-related diabetes, patients with severe insulin-resistant diabetes showed a higher risk of diabetic peripheral neuropathy, hypertension and chronic kidney disease, and the uric acid-related diabetes subgroup showed a higher risk of coronary heart disease, cerebral vascular disease and end-stage renal disease. Patients with severe insulin-deficient diabetes showed a higher risk of diabetic retinopathy and diabetic foot than those with inheritance-related diabetes. Furthermore, there were sex-specific associations between subgroups and clinical outcomes. No significant difference was observed in the prevalence of cancer in each subgroup.

conclusionsSeven subgroups of type 2 diabetes were identified in Chinese populations, with distinct characteristics and disparate clinical outcomes. This etiology-based stratification might contribute to the diagnosis and management of type 2 diabetes.

Indexed as

AdultAgedAge of OnsetBody Mass IndexChinaCluster AnalysisCohort StudiesDiabetes ComplicationsDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansInsulin ResistanceMaleMiddle AgedNeoplasmsGlycated HemoglobinUric AcidClassification of diabetesCluster analysisType 2 diabetes

Identifiers

PMID33411406
PMCPMC8354513
OpenAlexW3118466084

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.