Evidence map›Paper›PMID 34916312›Full record

ArticleBMJ open2021

Usefulness of metabolic score for insulin resistance index in estimating the risk of mildly reduced estimate glomerular filtration rate: a cross-sectional study of rural population in China.

Pengbo Wang, Qiyu Li, Xiaofan Guo, Ying Zhou, Zhao Li, Hongmei Yang, Shasha Yu, Guozhe Sun, Liqiang Zheng, Yingxian Sun and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 15 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

11 authors at 2 institutions in 1 country.

Pengbo WangDepartment of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China.ORCID 0000-0001-7405-7905
Qiyu LiDepartment of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Xiaofan GuoDepartment of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Ying ZhouDepartment of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Zhao LiDepartment of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China.ORCID 0000-0003-2281-8332
Hongmei YangDepartment of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Shasha YuDepartment of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Guozhe SunDepartment of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Liqiang ZhengDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.ORCID 0000-0003-0101-9398
Yingxian SunDepartment of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China.ORCID 0000-0002-1961-899X
Xingang ZhangDepartment of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China zhangxingang80@aliyun.com.ORCID 0000-0001-8811-1634
First Hospital of China Medical University · CNChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to reveal the association between metabolic score for insulin resistance (MetS-IR) and the risk of mildly decreased estimated glomerular filtration rate (eGFR), and explore the evaluation effect of MetS-IR on the progress of eGFR decline. STUDY

designA cross-sectional study. SETTING AND

participantsA total of 11 956 rural participants (aged ≥35 years) from northeastern China were enrolled in the study. After excluding the subjects whose data were not integrated or who met the exclusion criteria, we finally obtained 11 042 participants in the present study.

main outcome measuresMildly decreased eGFR was defined as 60-90 mL/min/1.73 m

resultsThe prevalence of mildly decreased eGFR in the general population was 36.9%. After adjustment of covariates, each SD increment of MetS-IR could bring 26.3% additional risk of mildly decreased eGFR (OR: 1.263, 95% CI: 1.066 to 1.497, p=0.007). When MetS-IR was classified into four levels by quartile, we observed participants in the top level had 3.032-fold risk of mildly decreased eGFR (OR: 3.032, 95% CI: 1.841 to 4.991, p<0.001) compared with those from the bottom level. Further, we found the participants with higher MetS-IR score were more likely to aggravate into a worse renal state which presented as higher risk of accelerated decline of eGFR, by additional 28.3% risk in whole participants (OR: 1.283, 95% CI: 1.150 to 1.430, p<0.001) and 41.9% in men (OR: 1.419, 95% CI: 1.183 to 1.701, p<0.001).

conclusionHigh MetS-IR was associated with high risk of mildly reduced eGFR and often accompanied by a high risk of accelerated decline in eGFR. Hence, we believed MetS-IR was a suitable indicator to evaluate the risk of early-stage renal dysfunction.

Indexed as

Insulin ResistanceMetabolic SyndromeAdultChinaCross-Sectional StudiesGlomerular Filtration RateHumansInsulinMaleRisk FactorsRural PopulationInsulincardiac epidemiologydiabetic nephropathy & vascular diseasenephrology

Identifiers

PMID34916312
PMCPMC8679137
OpenAlexW4200291124

What OpenQuestion holds

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LicenceCC BY-NC
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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.