Evidence map›Paper›PMID 34394128›Full record

ArticleFrontiers in immunology2021

Association Between Insulin Resistance and Remote Diffusion-Weighted Imaging Lesions in Primary Intracerebral Hemorrhage.

Xiang-Hua Ye, Jian-Li Zhang, Yu-Jia Jin, Dan Shen, Xiao-di Hao, Jia-Wen Li, Jia-Wei Zhong, Lu-Hang Jin, Lu-Sha Tong, Feng Gao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 8 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 3 institutions in 1 country.

Xiang-Hua YeDepartment of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jian-Li ZhangDepartment of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yu-Jia JinDepartment of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Dan ShenDepartment of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xiao-di HaoDepartment of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jia-Wen LiDepartment of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jia-Wei ZhongDepartment of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Lu-Hang JinDepartment of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Lu-Sha TongDepartment of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Feng GaoDepartment of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Second Affiliated Hospital of Zhejiang University · CNHenan Provincial People's Hospital · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Abnormal glucose metabolism was shown to be associated with the occurrence of remote diffusion-weighted imaging lesions (R-DWILs) after primary intracerebral hemorrhage (ICH) onset. Insulin resistance is a metabolic disorder that was regarded as an indicator of chronic systemic inflammation. In this study, we aimed to determine the effect of insulin resistance on the occurrence of R-DWILs in ICH. Methods: Patients with primary ICH within 14 days after onset were prospectively enrolled from November 2017 to October 2019. R-DWILs was defined as remote focal hyperintensity from the hematoma in DWI, with corresponding hypointensity in apparent diffusion coefficient. The homeostasis model assessment of insulin resistance (HOMA-IR) was used for insulin resistance estimation and calculated as fasting insulin (μU/ml) × fasting glucose (mmol/L)/22.5. Patients in our cohort were divided into four groups according to HOMA-IR index quartiles. Logistic regression analysis and smoothing plots were used to evaluate the association of HOMA-IR with R-DWIL occurrence. Sensitivity analysis was performed in non-diabetic patients, non-obese patients, hypertensive ICH patients, and patients 60 years and older separately. The association between HOMA-IR and systemic inflammatory immune indices neutrophil to lymphocyte ratio (NLR) and monocyte to lymphocyte ratio (MLR) was examined with multiple linear regression analysis. Results: Among the 345 patients, 54 (15.7%) had R-DWILs. Both the third and fourth quartiles of HOMA-IR index were robustly associated with an increased risk of R-DWIL occurrence (adjusted OR 3.58, 95% CI 1.33-9.65; adjusted OR 3.91, 95%CI 1.47-10.41) when compared with the first quartile. The association was consistent in non-diabetic, non-obese, hypertensive ICH patients, as well as in patients 60 years and older. Furthermore, both NLR and MLR were independently associated with HOMA-IR. Conclusions: Our study suggested that insulin resistance evaluated with HOMA-IR index was independently associated with the presence of R-DWILs in patients with acute and subacute primary ICH. It may provide new insights into the metabolism-related brain injury after ICH ictus.

Indexed as

Diffusion Magnetic Resonance ImagingInsulin ResistanceAgedBiomarkersBlood GlucoseCerebral HemorrhageCerebrovascular DisordersDisease ManagementDisease SusceptibilityFemaleHumansImage Processing, Computer-AssistedInflammation MediatorsInsulinMaleMiddle AgedBiomarkersBlood GlucoseInflammation MediatorsInsulininflammationinsulin resistanceintracerebral hemorrhagemetabolismremote diffusion-weighted imaging lesions

Identifiers

PMID34394128
PMCPMC8358397
OpenAlexW3186567820

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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.