Evidence map›Paper›PMID 36589854›Full record

ArticleFrontiers in endocrinology2022

Association between the metabolic score for insulin resistance (METS-IR) and estimated glomerular filtration rate (eGFR) among health check-up population in Japan: A retrospective cross-sectional study.

Gailing Liu, Lin Tao, Qing Zhu, Xiaojing Jiao, Lei Yan, Fengmin Shao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 18 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.

Gailing LiuDepartment of Nephrology, People's Hospital of Zhengzhou University, He'nan Provincial People's Hospital, He'nan Provincial Key Laboratory of Kidney Disease and Immunology, Zhengzhou, China.
Lin TaoDepartment of Nephrology, People's Hospital of Zhengzhou University, He'nan Provincial People's Hospital, He'nan Provincial Key Laboratory of Kidney Disease and Immunology, Zhengzhou, China.
Qing ZhuDepartment of Nephrology, People's Hospital of Zhengzhou University, He'nan Provincial People's Hospital, He'nan Provincial Key Laboratory of Kidney Disease and Immunology, Zhengzhou, China.
Xiaojing JiaoDepartment of Nephrology, People's Hospital of Zhengzhou University, He'nan Provincial People's Hospital, He'nan Provincial Key Laboratory of Kidney Disease and Immunology, Zhengzhou, China.
Lei YanDepartment of Nephrology, People's Hospital of Zhengzhou University, He'nan Provincial People's Hospital, He'nan Provincial Key Laboratory of Kidney Disease and Immunology, Zhengzhou, China.
Fengmin ShaoDepartment of Nephrology, People's Hospital of Zhengzhou University, He'nan Provincial People's Hospital, He'nan Provincial Key Laboratory of Kidney Disease and Immunology, Zhengzhou, China.
Henan Provincial People's Hospital · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study aimed to investigate the relationship between a new metric-metabolic score for insulin resistance (METS-IR)-and estimated glomerular filtration rate (eGFR) among Japanese participants who underwent health check-ups. Methods: We conducted a cross-sectional study that involved participants in a medical health screening program, which was conducted at the Medical Health Check-up Center in Japan. This retrospective study examined the relationship between METS-IR and eGFR among 881 individuals that joined the program between March 1, 2004, and December 31, 2012. Covariates consisted of serum laboratory tests and lifestyle questionnaires. Multivariate linear regression analysis was used to explore the association between METS-IR and eGFR. In addition, subgroup and interaction analyses were done based on age, sex, body mass index (BMI), alcohol use, smoking status, and hyperuricemia. Results: A total of 881 individuals participated in this study. High METS-IR was highly linked with reduced eGFR (adjusted β = -5.04, 95% confidence interval (CI): -7.65 to -2.43), while METS-IR was utilized as a categorical variable inside the multiple regression analysis. A decrease in eGFR of 2.54 units was reported for every 10-unit rise in METS-IR (adjusted β = -2.54, 95% CI: -4.04 to -1.05, Conclusions: METS-IR is remarkably associated with eGFR among the participants who underwent health check-ups in Gifu, Japan. Although more studies are required to prove it, METS-IR could be applied as a monitoring index for early screening, primary prevention, and diagnostic and treatment management strategies for chronic kidney disease.

Indexed as

Insulin ResistanceMetabolic SyndromeCross-Sectional StudiesGlomerular Filtration RateHumansJapanRetrospective Studieschronic kidney disease (CKD)estimated glomerular filtration rate (eGFR)insulin resistanceinsulin sensitivitymetabolic score for insulin resistance (METS-IR)

Identifiers

PMID36589854
PMCPMC9800885
OpenAlexW4313272558

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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.