Evidence map›Paper›PMID 40842451›Full record

ArticleBrain circulation

External validation of N2H3 nomogram to predict outcomes in patients with acute ischemic stroke treated by intravenous thrombolysis.

Huai-Mei Zhang, Zi-Duo Shen, Yang Qu, Peng Zhang, Reziya Abuduxukuer, Li-Juan Wang, Yu Li, Yu-Mei Chen, An-Ran Liu, Xiao-Dong Liu and 16 more

Registry-linked trialAbstract read
In one paragraph

Article in Brain circulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05028868 (Clinical Research of Intravenous Thrombolysis for Ischemic Stroke in Northeast of China), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT05028868 unknown statusnot on this map

Clinical Research of Intravenous Thrombolysis for Ischemic Stroke in Northeast of China

Typeobservational_patient_registrySponsorYi YangRan2015 to 2026Enrolled500ConditionsIschemic Stroke, Thrombosis
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

26 authors.

Huai-Mei ZhangDepartment of Neurology, Stroke Center, The First Hospital of Jilin University, Changchun, China.
Zi-Duo ShenDepartment of Neurology, Stroke Center, The First Hospital of Jilin University, Changchun, China.
Yang QuDepartment of Neurology, Stroke Center, The First Hospital of Jilin University, Changchun, China.
Peng ZhangDepartment of Neurology, Stroke Center, The First Hospital of Jilin University, Changchun, China.
Reziya AbuduxukuerDepartment of Neurology, Stroke Center, The First Hospital of Jilin University, Changchun, China.
Li-Juan WangDepartment of Neurology, Songyuan Central Hospital, Songyuan, China.
Yu LiDepartment of Neurology, Stroke Center, Siping Central People's Hospital, Siping, China.
Yu-Mei ChenDepartment of Neurology, Jilin Neuropsychiatric Hospital, Siping, China.
An-Ran LiuDepartment of Neurology, Songyuan Hospital of Integrated Traditional Chinese and Western Medicine, Songyuan, China.
Xiao-Dong LiuDepartment of Neurosurgery, Tonghua City Vascular Disease Hospital and Dongchang District People's Hospital, Tonghua, China.
Li-Li ZhaoDepartment of Neurology, Affiliated Hospital of Jilin Medical College, Jilin, China.
Chun-Yu YangDepartment of Neurology, Stroke Center, Dehuishi People's Hospital, Changchun, China.
Jing YaoDepartment of Neurology, Songyuan Jilin Oilfield Hospital, Songyuan, China.
An-Ying WangDepartment of Neurology, Stroke Center, Qianguoerros Mongolian Autonomous County Hospital, Songyuan, China.
Yong-Fei JiangDepartment of Neurology, Changchun People's Hospital, Changchun, China.
Jin-Cheng WangDepartment of Neurology, Affiliated Hospital of Jilin Medical College, Jilin, China.
Chen-Peng DongDepartment of Neurology, Jilin City Hospital of Chemical Industry, Jilin, China.
Fang-Fang LiuDepartment of Neurology, Stroke Center, Jilin Central General Hospital, Jilin, China.
Li LiDepartment of Neurology, Jilin Province People's Hospital, Changchun, China.
Ying-Bin QiDepartment of Neurology, Jilin Province People's Hospital, Changchun, China.
Chun-Fei WangDepartment of Neurology, Dongliao First People's Hospital, Liaoyuan, China.
Hao LiDepartment of Neurology, Jilin City Hospital of Chemical Industry, Jilin, China.
Li-Ying ZhangDepartment of Neurology, Jilin City Hospital of Chemical Industry, Jilin, China.
Wen-Juan MaDepartment of Neurology, Jilin People's Hospital, Jilin, China.
Zhen-Ni GuoDepartment of Neurology, Stroke Center, The First Hospital of Jilin University, Changchun, China.
Yi YangDepartment of Neurology, Stroke Center, The First Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe N2H3 model was evaluated for forecasting the 3-month outcomes for patients experiencing acute ischemic stroke who received intravenous thrombolysis (IVT), in our previous study. The present study aimed to validate the predictive ability of the N2H3 model and to compare its accuracy to the THRIVE-c and START models (both of which are widely employed for prognostic predictions following IVT).

methodsOur study prospectively enrolled consecutive stroke patients who received IVT from 16 hospitals. Cases from one hospital were included in External Validation Dataset 1, whereas External Validation Dataset 2 included patients from the other 15 hospitals. The effectiveness of each model in distinguishing outcomes was assessed by calculating the area under the receiver operating characteristic curve (AUC-ROC). In addition, the overall performance of the N2H3 model was assessed through the scaled Brier score.

resultsFinally, 794 patients were included, of which 582 were included in External Validation Dataset 1 and 212 in External Validation Dataset 2. The N2H3 model's AUC-ROC for forecasting unfavorable outcomes at 3-months was 0.810 (95% confidence interval [CI]: 0.771-0.848) in the first dataset and 0.782 (95% CI: 0.699-0.863) in the second dataset. For the START model, the AUC-ROCs in the two validation datasets were 0.729 (95% CI: 0.685-0.772) and 0.731 (95% CI: 0.649-0.772), respectively. The THRIVE-c model showed AUC-ROCs of 0.726 (95% CI: 0.682-0.770) and 0.666 (95% CI: 0.573-0.759), respectively. The Brier scores of the N2H3 model were 0.153 and 0.147 in cohorts 1 and 2, respectively.

conclusionsThe N2H3 model exhibited good predictive ability in both external validation cohorts. Moreover, it demonstrated advantages over the THRIVE-c and is not inferior to the START nomogram in this regard.

trial registrationClinical Research of Intravenous Thrombolysis for Ischemic Stroke in Northeast of China (CRISTINA) (identifier: NCT05028868).

Indexed as

Acute ischemic strokeintravenous thrombolysisnomogramprognosis

Identifiers

PMID40842451
PMCPMC12367268

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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.