Evidence map›Paper›PMID 40877706›Full record

ArticlePediatric research2026

Insulin resistance in school-age children: comparison surrogate diagnostic markers.

Lu Zhang, Na Qiu, Xiaoping Chen, Tingting Luo, Mingjing Zhang, Jiajia Yang, Yingying Bao, Boran Huang, Lijun Chu, Yange Wang

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Pediatric research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Lu ZhangDepartment of Public Health and Epidemiology, School of Basic Medical Sciences, Henan University, Kaifeng, China. zhanglu9128@126.com.
Na QiuDepartment of Public Health and Epidemiology, School of Basic Medical Sciences, Henan University, Kaifeng, China.
Xiaoping ChenDepartment of Endocrinology, The First Affiliated Hospital of Henan University, Kaifeng, China.
Tingting LuoDepartment of Public Health and Epidemiology, School of Basic Medical Sciences, Henan University, Kaifeng, China.
Mingjing ZhangDepartment of Public Health and Epidemiology, School of Basic Medical Sciences, Henan University, Kaifeng, China.
Jiajia YangDepartment of Public Health and Epidemiology, School of Basic Medical Sciences, Henan University, Kaifeng, China.
Yingying BaoDepartment of Public Health and Epidemiology, School of Basic Medical Sciences, Henan University, Kaifeng, China.
Boran HuangDepartment of Public Health and Epidemiology, School of Basic Medical Sciences, Henan University, Kaifeng, China.
Lijun ChuDepartment of Endocrinology, The First Affiliated Hospital of Henan University, Kaifeng, China.
Yange WangHenan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to identify surrogate markers suitable for evaluating insulin resistance in children and adolescents with overweight and obesity.

methodsForty-nine reported surrogate markers of insulin resistance were selected, including 14 insulin-based markers and 35 non-insulin-based markers. The markers were analyzed in 800 children aged 7-12 years. The demographic characteristics, physical measurements, and clinical indicators of these children were obtained through a cross-sectional study.

results27 surrogate markers of insulin resistance were associated with overweight and obesity in children. Insulin-based surrogate markers exhibited a strong linear relationship with HOMA-IR (r > 0.85). Markers such as CRP/HDL-C ratio, Castelli's risk index I, and Castelli's risk index II, which lack evidence from pediatric studies, showed a low linear correlation with HOMA-IR (r ≥ 0.2). Among non-insulin-based surrogate markers, comprehensive indicators such as TyG-WC, TyG-BMI, lipid accumulation product index (LAP), and METS-IR had better diagnostic value for insulin resistance (AUC > 0.8) than single markers. The ALT/AST ratio not only had a strong linear relationship with other surrogate markers but also had a strong diagnostic value for insulin resistance (AUC = 0.771).

conclusionsOnly some of the published surrogate markers of insulin resistance had good predictive power in school-age children, and the ALT/AST ratio is a good surrogate marker. IMPACT: This study compared the role of 49 surrogate markers of insulin resistance in Chinese school-age children. The ability of insulin-based surrogate markers to assess insulin resistance was stronger than that of non-insulin-based surrogate markers. Among non-insulin-based surrogate markers, comprehensive indicators such as TyG-WC, TyG-BMI, lipid accumulation product index, and METS-IR had better diagnostic value for insulin resistance than single markers. The results of this study have great public health implications. The diagnostic value of the reported surrogate markers of insulin resistance was clarified, and the ALT/AST ratio was found to have a good evaluation effect on insulin resistance.

Indexed as

BiomarkersInsulin ResistanceBody Mass IndexChildCross-Sectional StudiesFemaleHumansInsulinMaleObesityOverweightBiomarkersInsulin

Identifiers

What OpenQuestion holds

Textmetadata
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.