Evidence map›Paper›PMID 35879776›Full record

ArticleDiabetology & metabolic syndrome2022

Advanced glycation end products and diabetes and other metabolic indicators.

Tian Jiang, Yi Zhang, Fang Dai, Chao Liu, Honglin Hu, Qiu Zhang

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 32 citations in OpenAlex.

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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 2 institutions in 1 country.

Tian JiangDepartment of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China.
Yi ZhangDepartment of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China.
Fang DaiDepartment of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China.
Chao LiuDepartment of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China.
Honglin HuDepartment of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China.
Qiu ZhangDepartment of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China. zhangqiu@ahmu.edu.cn.
Anhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CN

Funding

National Natural Science Foundation of China 81970703
6 · The paper itself

Abstract

backgroundDiabetes is a global concern among adults. Previous studies have suggested an association between different screening methods and diabetes; however, increasing evidence has suggested the importance of early screening for diabetes mellitus (DM) and its influencing factors. In this study, we aimed to explore whether the non-invasive detection of advanced glycation end products (AGEs) in the early screening of DM in the Chinese community and whether body mass index (BMI) and metabolic indexes could moderate this relationship.

methodsThree community health service centers in Hefei that signed the medical consortium agreement with the First Affiliated Hospital of Anhui Medical University were selected to screen the population aged 30-90 years in each community using a multi-stage cluster sampling method from January 2018 to January 2019. Univariate analysis of variance was used to compare the differences in general data, biochemical indexes, skin AGEs levels, and blood glucose among groups. In addition, a multivariable logistic regression analysis was performed.

resultsA total of 912 patients with a community health physical examination and no history of diabetes were selected, excluding those with missing values > 5%. Finally, 906 samples were included in the study with an effective rate of 99.3%. The prevalence in the normal, impaired glucose tolerance, and DM groups were 79.8%, 10.0%, and 10.2%, respectively. By dividing AGE by quartile, AGE accumulation was classified as ≤ P25, P25-P50, P50-P75, and > P75. Higher AGE accumulation (χ

conclusionAs the findings indicate, priority should be given to the quality of metabolic-related indicators, such as BMI, TG, and TC, employed to effectively reduce the FBG of Chinese participants with high AGE accumulation. Skin autofluorescence may prove to be a rapid and non-invasive method for assessing the metabolic progression of all glucose level layers.

Indexed as

Advanced glycation end productsBMIDiabetes mellitusMetabolic indicatorsTCTG

Identifiers

PMID35879776
PMCPMC9310394
OpenAlexW4287092045

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.