Evidence mapPaperPMID 41113477Full record

ArticleWorld journal of diabetes2025

Serum alpha-1-microglobulin as a predictor of multiple complications in type 2 diabetes mellitus patients.

Li-Chao Ge, Yu-Ling Zhang, Gui-Liang Peng, Min Long, Tao Jin, Bin Lu, Jia-Qing Shao, Xing Li

Abstract read
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Article in World journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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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

8 authors.

Li-Chao GeDepartment of Endocrinology, Jinling Clinical Medical College, Nanjing Medical University, Nanjing 210002, Jiangsu Province, China.
Yu-Ling ZhangDepartment of Endocrinology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210002, Jiangsu Province, China.
Gui-Liang PengDepartment of Endocrinology, Southwest Hospital, Army Medical University (The Third Military Medical University), Chongqing 400038, China.
Min LongDepartment of Endocrinology, Southwest Hospital, Army Medical University (The Third Military Medical University), Chongqing 400038, China.
Tao JinDepartment of Health Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210002, Jiangsu Province, China.
Bin LuDepartment of Endocrinology, Jinling Clinical Medical College, Nanjing Medical University, Nanjing 210002, Jiangsu Province, China.
Jia-Qing ShaoDepartment of Endocrinology, Jinling Clinical Medical College, Nanjing Medical University, Nanjing 210002, Jiangsu Province, China.
Xing LiDepartment of Endocrinology, Jinling Clinical Medical College, Nanjing Medical University, Nanjing 210002, Jiangsu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPoor glycaemic control in patients with type 2 diabetes mellitus (T2DM) is often accompanied by multiple complications, including diabetic nephropathy (DN), diabetic retinopathy (DR), diabetic peripheral neuropathy (DPN), and cardiac structural abnormality left ventricular hypertrophy (LVH). Early identification of high-risk populations for these complications and the implementation of intervention measures are crucial for improving patient outcomes. Serum alpha-1-microglobulin (α1-MG), a multifunctional protein synthesized by the liver and lymphocytes, has been considered a potential biomarker of diabetes-related diseases in recent years.

aimTo investigate the associations of serum α1-MG with DN, DR, DPN, and LVH in T2DM patients and its predictive value.

methodsThis retrospective study included 5045 T2DM patients. The study participants were stratified into quartiles according to their serum α1-MG levels. Multivariate logistic regression, restricted cubic spline, and explainable machine learning models were employed for risk assessment and feature importance evaluation.

resultsIncreased α1-MG levels were observed in patients with DN, DR, DPN, and LVH (all

conclusionElevated serum α1-MG levels were independently associated with increased risks of DN, DR, DPN, and LVH in T2DM patients, suggesting its potential as a predictive biomarker.

Indexed as

Alpha-1-microglobulinCardiac complicationsMachine learning modelsMicrovascular complicationsType 2 diabetes mellitus

Identifiers

PMID41113477
PMCPMC12531749

What Socratic holds

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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.