Evidence map›Paper›PMID 38724189›Full record

ArticleAJNR. American journal of neuroradiology2024

Lesion Indexes Predict Early Neurologic Deterioration in Lenticulostriate Single Small Subcortical Infarction.

Yuan Gao, Ke Zhang, Hongbing Liu, Ce Zong, Hongxun Yang, Ying Yao, Yuming Xu

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PubMed Full text at PMC Publisher
In one paragraph

Article in AJNR. American journal of neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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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.

Yuan GaoFrom the Department of Neurology (Y.G., K.Z., H.L., C.Z., H.Y., Y.Y., Y.X.), The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.ORCID 0000-0003-2596-4773
Ke ZhangFrom the Department of Neurology (Y.G., K.Z., H.L., C.Z., H.Y., Y.Y., Y.X.), The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
Hongbing LiuFrom the Department of Neurology (Y.G., K.Z., H.L., C.Z., H.Y., Y.Y., Y.X.), The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
Ce ZongFrom the Department of Neurology (Y.G., K.Z., H.L., C.Z., H.Y., Y.Y., Y.X.), The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
Hongxun YangFrom the Department of Neurology (Y.G., K.Z., H.L., C.Z., H.Y., Y.Y., Y.X.), The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
Ying YaoFrom the Department of Neurology (Y.G., K.Z., H.L., C.Z., H.Y., Y.Y., Y.X.), The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
Yuming XuFrom the Department of Neurology (Y.G., K.Z., H.L., C.Z., H.Y., Y.Y., Y.X.), The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China xuyuming@zzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeEarly neurologic deterioration (END) often occurs during hospitalization in single small subcortical infarction (SSSI). The objective was to identify imaging predictors of END. MATERIALS AND

methodsSSSIs in the lenticulostriate artery within 72 hours of stroke onset from January 2015 to June 2021 were consecutively enrolled. The posteriority and laterality indexes were assessed on the second section from the top of the corona radiata section showing the lateral ventricle on DWI. A multivariate logistic analysis was used to explore the predictors of END.

resultsA total of 402 patients were included in this study, among whom 93 (23.1%) experienced END. The optimal cutoff points of the posteriority and laterality indexes for predicting END were given by a receiver operating characteristic curve. A multivariate logistic analysis showed that the posteriority index of ≥0.669 (OR: 2.53; 95% CI: 1.41-4.56;

conclusionsThe PM-type was found to be associated with the highest risk of END.

Indexed as

Cerebral InfarctionAgedBasal Ganglia Cerebrovascular DiseaseDiffusion Magnetic Resonance ImagingFemaleHumansMaleMiddle AgedRetrospective Studies

Identifiers

PMID38724189
PMCPMC11288539

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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.