Evidence map›Paper›PMID 38779116›Full record

ArticleJournal of translational internal medicine2024

Impact of the Alberta Stroke Program CT Score subregions on long-term functional outcomes in acute ischemic stroke: Results from two multicenter studies in China.

Xinrui Wang, Caohui Duan, Jinhao Lyu, Dongshan Han, Kun Cheng, Zhihua Meng, Xiaoyan Wu, Wen Chen, Guohua Wang, Qingliang Niu and 16 more

Abstract read
In one paragraph

Article in Journal of translational internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Xinrui WangDepartment of Radiology, Chinese PLA General Hospital, Beijing 100853, China.
Caohui DuanDepartment of Radiology, Chinese PLA General Hospital, Beijing 100853, China.
Jinhao LyuDepartment of Radiology, Chinese PLA General Hospital, Beijing 100853, China.
Dongshan HanDepartment of Radiology, Chinese PLA General Hospital, Beijing 100853, China.
Kun ChengDepartment of Radiology, Chinese PLA General Hospital, Beijing 100853, China.
Zhihua MengDepartment of Radiology, Yuebei People's Hospital, Shaoguan 512000, Guangdong Province, China.
Xiaoyan WuDepartment of Radiology, Anshan Changda Hospital, Anshan 114000, Liaoning Province, China.
Wen ChenDepartment of Radiology, Shiyan Taihe Hospital, Shiyan 442000, Hubei Province, China.
Guohua WangDepartment of Radiology, Qingdao Municipal Hospital, Qingdao University, Qingdao 266011, Shandong Province, China.
Qingliang NiuDepartment of Radiology, WeiFang Traditional Chinese Hospital, Weifang 261053, Shandong Province, China.
Xin LiDepartment of Radiology, The Second Hospital of Jilin University, Jilin University, Changchun 130014, Jilin Province, China.
Yitong BianDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, Shaanxi Province, China.
Dan HanDepartment of Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming Medical University, Kunming 650032, Yunnan Province, China.
Weiting GuoDepartment of Radiology, Shanxi Provincial People's Hospital, Taiyuan 030012, Shanxi Province, China.
Shuai YangDepartment of Radiology, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China.
Ximing WangDepartment of Radiology, The First Affiliated Hospital of Soochow University, Soochow University, Suzhou 215006, Jiangsu Province, China.
Tijiang ZhangDepartment of Radiology, The Affiliated Hospital of Zunyi Medical University, Zunyi Medical University, Zunyi 563000, Guizhou Province, China.
Junying BiDepartment of Radiology, The Third People's Hospital of Hubei Province, Wuhan 430030, Hubei Province, China.
Feiyun WuDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, Jiangsu Province, China.
Shuang XiaDepartment of Radiology, Tianjin First Central Hospital, Nankai University, Tianjin 300190, China.
Dan TongDepartment of Radiology, The First Hospital of Jilin University, Jilin University, Changchun 130021, Jilin Province, China.
Kai DuanDepartment of Radiology, Liangxiang Hospital, Beijing 102401, China.
Zhi LiDepartment of Radiology, The First People's Hospital of Yunnan Province, Kunming 650034, Yunnan Province, China.
Rongpin WangDepartment of Radiology, Guizhou Provincial People's Hospital, Guiyang 550499, Guizhou Province, China.
Jinan WangDepartment of Radiology, Zhongshan Hospital, Xiamen University, Xiamen 361004, Fujian Province, China.
Xin LouDepartment of Radiology, Chinese PLA General Hospital, Beijing 100853, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: The Alberta Stroke Program CT Score (ASPECTS) is a widely used rating system for assessing infarct extent and location. We aimed to investigate the prognostic value of ASPECTS subregions' involvement in the long-term functional outcomes of acute ischemic stroke (AIS). Materials and Methods: Consecutive patients with AIS and anterior circulation large-vessel stenosis and occlusion between January 2019 and December 2020 were included. The ASPECTS score and subregion involvement for each patient was assessed using posttreatment magnetic resonance diffusion-weighted imaging. Univariate and multivariable regression analyses were conducted to identify subregions related to 3-month poor functional outcome (modified Rankin Scale scores, 3-6) in the reperfusion and medical therapy cohorts, respectively. In addition, prognostic efficiency between the region-based ASPECTS and ASPECTS score methods were compared using receiver operating characteristic curves and DeLong's test. Results: A total of 365 patients (median age, 64 years; 70% men) were included, of whom 169 had poor outcomes. In the reperfusion therapy cohort, multivariable regression analyses revealed that the involvement of the left M4 cortical region in left-hemisphere stroke (adjusted odds ratio [aOR] 5.39, 95% confidence interval [CI] 1.53-19.02) and the involvement of the right M3 cortical region in right-hemisphere stroke (aOR 4.21, 95% CI 1.05-16.78) were independently associated with poor functional outcomes. In the medical therapy cohort, left-hemisphere stroke with left M5 cortical region (aOR 2.87, 95% CI 1.08-7.59) and caudate nucleus (aOR 3.14, 95% CI 1.00-9.85) involved and right-hemisphere stroke with right M3 cortical region (aOR 4.15, 95% CI 1.29-8.18) and internal capsule (aOR 3.94, 95% CI 1.22-12.78) affected were related to the increased risks of poststroke disability. In addition, region-based ASPECTS significantly improved the prognostic efficiency compared with the conventional ASPECTS score method. Conclusion: The involvement of specific ASPECTS subregions depending on the affected hemisphere was associated with worse functional outcomes 3 months after stroke, and the critical subregion distribution varied by clinical management. Therefore, region-based ASPECTS could provide additional value in guiding individual decision making and neurological recovery in patients with AIS.

Indexed as

diffusion magnetic resonance imagingischemic strokepatient outcome assessment

Identifiers

PMID38779116
PMCPMC11107184

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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.