Evidence map›Paper›PMID 36405576›Full record

ArticleFrontiers in medicine2022

Analysis of magnetic resonance splectroscopy characteristics in patients with type 2 diabetes complicated with stroke.

Yu Wang, Ying Wang, Gang Peng, Wenwen Liang, Jie Chen, Kai Chen, Xiaodan Yang, Jiehui Jiang, Bingcang Huang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

9 authors at 3 institutions in 1 country.

Yu WangDepartment of Radiology, School of Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai University, Shanghai, China.
Ying WangShanghai Health Commission Key Lab of Artificial Intelligence (AI)-Based Management of Inflammation and Chronic Diseases, Sino-French Cooperative Central Lab, School of Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai University, Shanghai, China.
Gang PengDepartment of Radiology, School of Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai University, Shanghai, China.
Wenwen LiangDepartment of Radiology, School of Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai University, Shanghai, China.
Jie ChenDepartment of Radiology, School of Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai University, Shanghai, China.
Kai ChenDepartment of Radiology, School of Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai University, Shanghai, China.
Xiaodan YangDepartment of Radiology, School of Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai University, Shanghai, China.
Jiehui JiangDepartment of Radiology, School of Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai University, Shanghai, China.
Bingcang HuangDepartment of Radiology, School of Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai University, Shanghai, China.
Shanghai Pudong New Area Gongli Hospital · CNShanghai University · CNSecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we investigated the metabolism of white matter by magnetic resonance spectroscopy (MRS) in stroke complicated with diabetes mellitus in combination with glycosylated hemoglobin (HbAlc) detection and clinical neurological deficit score (NIHSS). Fifty-three patients with stroke within 24 h after onset were collected and scanned by MRS. The biochemical, clinical and imaging characteristics of patients were analyzed. Patients were divided into three groups according to HbAlc levels: Good glycemic control (A): < 6.5%; satisfactory glycemic control (B): 6.5-7.5% and poor glycemic control (C): > 7.5%. The results showed that HbA1c levels were positively correlated with NIHSS in patients with acute ischemic stroke (AIS). There is significant difference in NAA/Cr between the infarcted site of the three groups and the mirror site. HbA1C level was negatively correlated with NAA/Cr in patients with AIS, and there was no significant correlation between NIHSS score and NAA/Cr. The data above demonstrated that the MRS imaging can be used to explain the adverse effects of hyperglycated hemoglobin on brain parenchyma from the perspective of imaging. This imaging technique and clinical NIHSS score have a high consistency in evaluating stroke.

Indexed as

glycosylated hemoglobinhydrogen proton magnetic resonance imagingischemic strokeNAA/CrNIHSS score

Identifiers

PMID36405576
PMCPMC9672071
OpenAlexW4308201758

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.