Evidence map›Paper›PMID 35220678›Full record

ArticleJournal of diabetes investigation2022

Metabolic Score for Insulin Resistance, a novel score to evaluate insulin sensitivity, is associated with the urinary albumin-to-creatinine ratio in Chinese adults: A cross-sectional REACTION study.

Wanlu Su, Jie Wang, Songyan Yu, Kang Chen, Zhengnan Gao, Xuelei Tang, Qin Wan, Zuojie Luo, Guang Ning, Yiming Mu

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 10 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

10 authors at 8 institutions in 2 countries.

Wanlu SuSchool of Medicine, Nankai University, Tianjin, China.ORCID https://orcid.org/0000-0003-0811-9957
Jie WangDepartment of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0003-4706-0302
Songyan YuDepartment of Endocrinology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Kang ChenDepartment of Endocrinology, Chinese People's Liberation Army General Hospital, Beijing, China.
Zhengnan GaoDepartment of Endocrinology, Dalian Municipal Central Hospital, Dalian, China.
Xuelei TangDepartment of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, China.
Qin WanDepartment of Endocrinology, Affiliated Hospital of Luzhou Medical College, Luzhou, China.
Zuojie LuoDepartment of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Guang NingState Key Laboratory of Medical Genomics, Department of Endocrinology, Shanghai National Research Center for Endocrine and Metabolic Disease, Shanghai Institute for Endocrine and Metabolic Disease, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yiming MuSchool of Medicine, Nankai University, Tianjin, China.ORCID https://orcid.org/0000-0002-3344-3540
Capital Medical University · CNNankai University · CNChinese General Hospital College of Nursing and Liberal Arts · PHDalian Municipal Central Hospital · CNFirst Hospital of Lanzhou University · CNGuangxi Medical University · CNRuijin Hospital · CNSouthwest Medical University · CN

Funding

National Science and Technology Major Project 288 2011ZX09307-001-08National Science Foundation of China 81300717the Beijing Municipal Science and Technology Commission D141107005314004the Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health 1994DP131044the National High Technology Research and Development Program of China 2011AA020107the National Key New Drug Creation and Manufacturing Program of Ministry of Science and Technology 2012ZX09303006-001
6 · The paper itself

Abstract

AIMS/

introductionThe Metabolic Score for Insulin Resistance (METS-IR) is a novel non-insulin-based metabolic index used as a substitution marker of insulin resistance. However, whether METS-IR is associated with the urinary albumin-to-creatinine ratio (UACR) is not well known. Therefore, we explored the associations between METS-IR and UACR, and compared the discriminative ability of METS-IR and its components for elevated UACR. MATERIALS AND

methodsThis study included 37,290 participants. METS-IR was calculated as follows: (Ln[2 × fasting blood glucose + fasting triglyceride level] × body mass index) / (Ln [high-density lipoprotein cholesterol]). Participants were divided into four groups on the basis of METS-IR: <25%, 25-49%, 50-74% and ≥75%. Logistic regression analyses were carried out to determine the associations between METS-IR versus its components (fasting blood glucose, triglyceride level, body mass index and high-density lipoprotein cholesterol) with UACR.

resultsParticipants with the highest quartile METS-IR presented a more significant trend toward elevated UACR than toward its components (odds ratio 1.260, 95% confidence interval 1.152-1.378, P < 0.001 in all participants; odds ratio 1.321, 95% confidence interval 1.104-1.579, P = 0.002 in men; odds ratio 1.201, 95% confidence interval 1.083-1.330, P < 0.001 in women). There were significant associations between METS-IR and UACR in younger participants (aged <65 years for women and aged 55-64 years for men). Increased METS-IR was significantly associated with UACR in men with fasting blood glucose ≥5.6 or postprandial blood glucose ≥7.8 mmol/L and systolic blood pressure ≥120 or diastolic blood pressure ≥80 mmHg. The relationships were significant in women with diabetes and hypertension.

conclusionsIncreased METS-IR was significantly associated with elevated UACR, its discriminative power for elevated UACR was superior to that of its components.

Indexed as

Insulin ResistanceMetabolic SyndromeAdultAlbuminsBlood GlucoseBody Mass IndexChinaCholesterol, HDLCreatinineCross-Sectional StudiesFemaleHumansMaleRisk FactorsTriglyceridesAlbuminsBlood GlucoseCholesterol, HDLCreatinineTriglyceridesMetabolic score for insulin resistanceSexUrinary albumin-to-creatinine ratio

Identifiers

PMID35220678
PMCPMC9248423
OpenAlexW4214483189

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.