Evidence map›Paper›PMID 36662315›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2023

A method to distinguish the different etiological mechanisms of single subcortical infarction.

Tang Yang, Lu Tang, Shuai Jiang, Yuying Yan, Ye Yuan, Yi Hu, Jiayu Sun, Bo Wu

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In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2023. 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
0.8field-weighted citation impact, top 26% 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

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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, 3 citations in OpenAlex.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Tang YangDepartment of Neurology, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, 610041, China.
Lu TangDepartment of Radiology, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, 610041, China.
Shuai JiangDepartment of Neurology, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, 610041, China.
Yuying YanDepartment of Neurology, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, 610041, China.
Ye YuanDepartment of Neurology, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, 610041, China.
Yi HuDepartment of Neurology, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, 610041, China.
Jiayu SunDepartment of Radiology, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, 610041, China. sjy080512@163.com.
Bo WuDepartment of Neurology, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, 610041, China. dr.bowu@hotmail.com.ORCID http://orcid.org/0000-0003-2067-9965
Sichuan University · CN

Funding

the 1·3·5 project for disciplines of excellence, Clinical Research Incubation Project, West China Hospital, Sichuan University No. 2020HXFH012the National Natural Science Foundation of China Nos. 82071320 and 81870937
6 · The paper itself

Abstract

objectivesAlthough lenticulostriate artery (LSA) territorial infarcts usually appear as single subcortical infarctions (SSIs) on imaging, they are caused by various etiological mechanisms. We aimed to investigate the correlation between LSA morphology and the location or size of infarcts. Besides, we explored whether the location or size of infarcts can predict the presence of middle cerebral artery (MCA) plaques and distinguish the different etiological mechanisms of SSI patients.

methodsWe prospectively included patients with acute SSI in the LSA territory. The MCA plaques, infarct features, including the number of infarct slices, lowest infarct layer index (LILI), volume, maximum area and diameter, and LSA morphological characteristics, including the number of stems and branches, length, distance, and tortuosity were evaluated.

resultsA total of 105 patients were enrolled. Both the average length and average distance of LSAs were negatively correlated with the maximum infarct area (P=0.048, P=0.028, respectively) and maximum infarct diameter (P=0.016, P=0.010, respectively) on axial examination and were positively correlated with LILI (P=0.020, P=0.003, respectively). The number of LSA branches was associated with the number of infarct slices (P=0.040) and LILI (P=0.043). Moreover, we found that when the LILI=1 or 2 and the number of infarct slices ≥3, the SSI patients were more likely to have MCA plaques (P=0.045).

conclusionsSSI patients with a LILI=1 or 2 and infarct slices of ≥3 were more likely to have MCA plaques. Our findings might provide a simple and feasible method to distinguish the different underlying mechanisms of SSIs for clinicians.

Indexed as

Cerebral InfarctionMagnetic Resonance AngiographyCausalityDiffusion Magnetic Resonance ImagingHumansMiddle Cerebral ArteryCerebral small vessel diseaseLenticulostriate arteryMagnetic resonance imagingPlaqueSubcortical infarction

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PMID36662315
OpenAlexW4317566077

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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.