Evidence map›Paper›PMID 36203985›Full record

ArticleFrontiers in neurology2022

A nomogram for predicting malignant cerebral artery infarction in the modern thrombectomy era.

Wenting Guo, Jiali Xu, Wenbo Zhao, Mengke Zhang, Jin Ma, Jian Chen, Jiangang Duan, Qingfeng Ma, Haiqing Song, Sijie Li and 1 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Wenting GuoDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jiali XuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Wenbo ZhaoDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Mengke ZhangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jin MaDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jian ChenDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jiangang DuanDepartment of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China.
Qingfeng MaDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Haiqing SongDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Sijie LiBeijing Key Laboratory of Hypoxic Conditioning Translational Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xunming JiDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to develop and validate a nomogram to predict malignant cerebral artery infarction (MMI) after endovascular treatment (EVT) in patients with acute ischemic stroke (AIS) in the modern thrombectomy era. Methods: We retrospectively analyzed data from a prospective cohort of consecutive patients with AIS who underwent EVT at Xuanwu hospital between January 2013 and June 2021. A multivariable logistic regression model was employed to construct the nomogram for predicting MMI after EVT. The discrimination and calibration of the nomogram were assessed both in the derivation and validation cohorts. Results: A total of 605 patients were enrolled in this study, with 425 in the derivation cohort and 180 in the validation cohort. The nomogram was developed based on admission systolic blood pressure (SBP), the National Institute of Health Stroke Score (NIHSS), the Alberta Stroke Program Early Computed Tomography Score (ASPECTS), vessel occlusion site, EVT time window, and recanalization status. The nomogram displayed good discrimination with the area under the receiver operating characteristics (ROCs) curve (AUC) of 0.783 [95% confidence interval ( Conclusion: In the modern thrombectomy era, a nomogram containing admission SBP, NIHSS, ASPECTS, vessel occlusion site, EVT time window, and recanalization status may predict the risk of MMI after EVT in patients with AIS.

Indexed as

brain edemaischemic strokemalignantnomogramthrombectomy

Identifiers

PMID36203985
PMCPMC9530703

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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.