Evidence map›Paper›PMID 36874411›Full record

ArticleWorld journal of clinical cases2023

Relationship between glycemic variability and cognitive function in lacune patients with type 2 diabetes.

Qi-Zhe Meng, Yang Wang, Bing Li, Zhi Xi, Ming Wang, Jia-Qi Xiu, Xiao-Peng Yang

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 6 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

7 authors at 1 institution in 1 country.

Qi-Zhe MengDepartment of Neurology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450003, Henan Province, China.
Yang WangDepartment of Neurology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450003, Henan Province, China.
Bing LiDepartment of Neurology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450003, Henan Province, China.
Zhi XiDepartment of Neurology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450003, Henan Province, China.
Ming WangDepartment of Neurology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450003, Henan Province, China.
Jia-Qi XiuDepartment of Neurology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450003, Henan Province, China.
Xiao-Peng YangDepartment of Neurology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450003, Henan Province, China. yaxipe39@126.com.
Second Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLacunes are the manifestations of lacunar infarction which can lead many patients to the clinical outcome of disability or dementia. However, the relationship between lacune burden, cognitive function and blood glucose fluctuation in patients with type 2 diabetes mellitus (T2DM) complicated with lacunes is not very clear.

aimTo explore the correlation between glucose variability, lacune burden and cognitive function in patients with lacunes complicated with T2DM.

methodsThe clinical and imaging data of 144 patients with lacunes combined with T2DM were reviewed retrospectively. 72 h continuous glucose monitoring was performed. The Montreal Cognitive Assessment was used to assess cognitive function. The burden of lacunes was evaluated using magnetic resonance imaging performance. Multifactorial logistic regression analysis was used to study the affecting the lacune load and cognitive impairment in patients. To predict the value of patients' cognitive impairment with lacunes complicated with T2DM, a receiver operating characteristic (ROC) curve and a nomogram prediction model were constructed.

resultsThe standard deviation (SD) of the average blood glucose concentration, percentage coefficient of variation (%CV) and time of range (TIR) were significantly different between the low and the high load groups (

conclusionBlood glucose variability is closely associated with the level of lacune burden and cognitive dysfunction in lacune patients combined with T2DM. %CV, TIR have a certain predictive effect in cognitive impairment in lacune patients.

Indexed as

Blood glucose variabilityCognitive impairmentLacunesNomogramsType 2 diabetes

Identifiers

PMID36874411
PMCPMC9979288
OpenAlexW4320519642

What OpenQuestion holds

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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.