Evidence map›Paper›PMID 36162420›Full record

ArticleEuropean journal of public health2022

Association of METS-IR with incident hypertension in non-overweight adults based on a cohort study in Northeastern China.

Chengyin Xu, Guirong Song, Dongmei Hu, Guorong Li, Qigui Liu, Xiao Tang

Open access · goldAbstract read
In one paragraph

Article in European journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.8field-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

22 citing papers in PubMed, 26 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.

Chengyin XuDepartment of Health Statistics, School of Public Health, Dalian Medical University, Dalian City, Liaoning Province, People's Republic of China.
Guirong SongDepartment of Health Statistics, School of Public Health, Dalian Medical University, Dalian City, Liaoning Province, People's Republic of China.
Dongmei HuDepartment of Health Statistics, School of Public Health, Dalian Medical University, Dalian City, Liaoning Province, People's Republic of China.
Guorong LiDepartment of Health Statistics, School of Public Health, Dalian Medical University, Dalian City, Liaoning Province, People's Republic of China.
Qigui LiuDepartment of Health Statistics, School of Public Health, Dalian Medical University, Dalian City, Liaoning Province, People's Republic of China.
Xiao TangDepartment of Health Statistics, School of Public Health, Dalian Medical University, Dalian City, Liaoning Province, People's Republic of China.
Dalian Medical University · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsulin resistance (IR) plays an important role in the progression of hypertension (HTN); therefore, early identification of IR is clinically important for preventing HTN. Our study aims to explore the relationship between the metabolic score for IR (METS-IR) and HTN in Chinese population who maintained non-overweight.

methodsA total of 4678 adults who underwent annual health check-up in our institution from 2010 to 2017, did not have HTN at the first check-up and maintained non-overweight at follow-up were selected as subjects. The baseline METS-IR was calculated and the outcome was incident HTN. Cox proportional hazards regression models were used to evaluate hazards ratios of HTN for METS-IR. Additionally, sensitive analyses and stratification analyses were used to deeply verify the relationship of METS-IR with HTN. The dose-response association between METS-IR and HTN risk was investigated using restricted the cubic spline analysis fitted for the Cox proportional hazards model.

resultsCompared with the first quartiles of METS-IR, the risk of incident HTN was increased by 58% [hazard ratio (HR) 1.58, 95% confidence interval (CI) 1.12-2.22] and 96% (HR 1.96, 95% CI 1.40-2.76) in the Q3 group and the Q4 group, respectively. The results remained consistent when analyses were restricted to people without abnormal high-density lipoprotein cholesterol, triglyceride or fasting plasma glucose level at baseline. A linear dose-response relationship between METS-IR and HTN risk was identified (HR 1.08, 95% CI 1.04-1.12).

conclusionsThe risk of incident HTN was associated with elevated METS-IR levels in non-overweight individuals. METS-IR could help predict the risk of HTN in non-overweight individuals.

Indexed as

HypertensionInsulin ResistanceMetabolic SyndromeAdultChinaCohort StudiesHumansRisk Factors

Identifiers

PMID36162420
PMCPMC9713393
OpenAlexW4297251672

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.