Evidence map›Paper›PMID 29869743›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2018

The initial glycemic variability is associated with early neurological deterioration in diabetic patients with acute ischemic stroke.

Jiaojie Hui, Jianping Zhang, Xuqiang Mao, Zaiwang Li, Xinxin Li, Fengyun Wang, Tao Wang, Qingfang Yuan, Sunwei Wang, Mengjia Pu and 1 more

Abstract read
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Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Improving physiological monitoring and reporting standards in preclinical stroke research.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
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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.

Jiaojie HuiDepartment of Critical Care Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, 214023, China.
Jianping ZhangDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, 214023, People's Republic of China.
Xuqiang MaoDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, 214023, People's Republic of China.
Zaiwang LiDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, 214023, People's Republic of China.
Xinxin LiDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, 214023, People's Republic of China.
Fengyun WangDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, 214023, People's Republic of China.
Tao WangDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, 214023, People's Republic of China.
Qingfang YuanDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, 214023, People's Republic of China.
Sunwei WangDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, 214023, People's Republic of China.
Mengjia PuDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, 214023, People's Republic of China.
Guangjun XiDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, 214023, People's Republic of China. xiguangjun@163.com.ORCID http://orcid.org/0000-0003-4079-2818

Funding

Medical Young Talents Program of Jiangsu Province QNRC2016178Medical Young Talents Program of Jiangsu Province QNRC2016191National Natural Science Foundation of China 81201051National Natural Science Foundation of China 81401619National Natural Science Foundation of China 81671219Natural Science Foundation of Jiangsu Province BK2012097Natural Science Foundation of Jiangsu Province BK20151109
6 · The paper itself

Abstract

The association between glycemic variability and early neurological deterioration (END) in acute ischemic stroke remains unclear. This study attempted to explore whether initial glycemic variability increases END in diabetic patients with acute ischemic stroke. We enrolled type 2 diabetic patients undergoing acute ischemic stroke from November 2015 to November 2016. A total of 336 patients within 72 h from stroke onset were included. The serum glucose levels were checked four times per day during the initial 3 hospital days. The standard deviation of blood glucose (SDBG) values and the mean amplitude of glycemic excursions (MAGE) were calculated for glycemic variability. END was defined as an increase in the National Institutes of Health Stroke Scale (NIHSS) ≥ 2 points between hospital days 0 and 5. The frequencies of END and HbA1c were significantly different in subjects grouped according to tertiles of MAGE (9.09, 12.07 and 50.00%, p < 0.001 for END; 7.36 ± 1.91, 7.83 ± 1.93 and 8.56 ± 1.79, p < 0.001 for HbA1c). Compared to patients without END, patients with END had significantly higher HbA1c levels (8.30 ± 1.92 vs 7.80 ± 1.93, p = 0.043), increased SDBG (3.42 ± 1.14 vs 2.60 ± 0.96, p < 0.001), and increased MAGE (6.46 ± 2.09 vs 4.59 ± 1.91, p < 0.001). In a multivariable logistic regression, stroke etiology (OR 0.675; 95% CI 0.485-0.940, p = 0.020), baseline NIHSS (OR 1.086; 95% CI 1.004-1.175, p = 0.040), and MAGE (OR 1.479; 95% CI 1.162-1.882, p = 0.001) were significantly associated with END. Initial glycemic variability is associated with END in diabetic patients with acute ischemic stroke.

Indexed as

Blood GlucoseAgedBiomarkersBrain IschemiaDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansLogistic ModelsMaleMultivariate AnalysisRisk FactorsSeverity of Illness IndexStrokeTreatment OutcomeBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanAcute ischemic strokeEarly neurological deteriorationGlycemic variability

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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.