Evidence map›Paper›PMID 33967738›Full record

ArticleFrontiers in aging neuroscience2021

Nomogram to Predict Cognitive Dysfunction After a Minor Ischemic Stroke in Hospitalized-Population.

Li Gong, Haichao Wang, Xiaofeng Zhu, Qiong Dong, Qiuyue Yu, Bingjie Mao, Longyan Meng, Yanxin Zhao, Xueyuan Liu

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

Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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  13. Outcomes in Patients with Minor Stroke: Diagnosis and Management in the Post-thrombectomy Era.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
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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

9 authors at 4 institutions in 1 country.

Li GongDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China.
Haichao WangDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China.
Xiaofeng ZhuDepartment of Nursing, Huashan Hospial North, Fudan University, Shanghai, China.
Qiong DongDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China.
Qiuyue YuDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China.
Bingjie MaoDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China.
Longyan MengDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China.
Yanxin ZhaoDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China.
Xueyuan LiuDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China.
Shanghai Tenth People's Hospital · CNTongji University · CNHuashan Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An easily scoring system to predict the risk of cognitive impairment after minor ischemic stroke has not been available. We aimed to develop and externally validate a nomogram for predicting the probability of post-stroke cognitive impairment (PSCI) among hospitalized population with minor stroke. Moreover, the association of Trimethylamine N-oxide (TMAO) with PSCI is also investigated. We prospectively conducted a developed cohort on collected data in stroke center from June 2017 to February 2018, as well as an external validation cohort between June 2018 and February 2019. The main outcome is cognitive impairment defined as <22 Montreal Cognition Assessment (MoCA) score points 6 - 12 months following a minor stroke onset. Based on multivariate logistic models, the nomogram model was generated. Plasma TMAO levels were assessed at admission using liquid chromatography tandem mass spectrometry. A total of 228 participants completed the follow-up data for generating the nomogram. After multivariate logistic regression, seven variables remained independent predictors of PSCI to compose the nomogram included age, female, Fazekas score, educational level, number of intracranial atherosclerotic stenosis (ICAS), HbA1c, and cortical infarction. The area under the receiver-operating characteristic (AUC-ROC) curve of model was 0.829, C index was good (0.810), and the AUC-ROC of the model applied in validation cohort was 0.812. Plasma TMAO levels were higher in patients with cognitive impairment than in them without cognitive dysfunction (median 4.56 vs. 3.22 μmol/L;

Indexed as

cognitive dysfunctionminor strokenomogrampost-stroke cognitive impairmenttrimethylamine-N-oxide

Identifiers

PMID33967738
PMCPMC8098660
OpenAlexW3155496067

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.