Evidence map›Paper›PMID 36611444›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Follow-Up Infarct Volume Prediction by CTP-Based Hypoperfusion Index, and the Discrepancy between Small Follow-Up Infarct Volume and Poor Functional Outcome-A Multicenter Study.

Pengyu Zhou, Ran Li, Siyun Liu, Jincheng Wang, Lixiang Huang, Bin Song, Xiaoqiang Tang, Boyu Chen, Haiting Yang, Chengcheng Zhu and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Pengyu ZhouDepartment of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610056, China.
Ran LiDepartment of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610056, China.ORCID 0000-0002-8236-5956
Siyun LiuGE Healthcare, Beijing 100176, China.
Jincheng WangDepartment of Radiology, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310027, China.
Lixiang HuangDepartment of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin 300071, China.
Bin SongMinhang Hospital, Fudan University, Shanghai 200437, China.
Xiaoqiang TangThe Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213003, China.
Boyu ChenThe First Affiliated Hospital, China Medical University, Shenyang 110122, China.
Haiting YangLanzhou University Second Hospital, Lanzhou 730030, China.
Chengcheng ZhuDepartment of Radiology, University of Washington, Seattle, WA 98101, USA.
Ajay MalhotraDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06501, USA.
Yuting WangDepartment of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610056, China.ORCID 0000-0002-1443-2643

Funding

This work was supported by the Research Project of Healthcare for Cadres of Sichuan province. No. 2021-229.
6 · The paper itself

Abstract

(1) Background: Follow-up infarct volume (FIV) may have implications for prognostication in acute ischemic stroke patients. Factors predicting the discrepancy between FIV and 90-day outcomes are poorly understood. We aimed to develop a comprehensive predictive model of FIV and explore factors associated with the discrepancy. (2) Methods: Patients with acute anterior circulation large vessel occlusion were included. Baseline clinical and CT features were extracted and analyzed, including the CTP-based hypoperfusion index (HI) and the NCCT-based e-ASPECT, measured by automated software. FIV was assessed on follow-up NCCT at 3−7 days. Multiple linear regression was used to construct the predictive model. Subgroup analysis was performed to explore factors associated with poor outcomes (90-mRS scores 3−6) in small FIV (<70 mL). (3) Results: There were 170 patients included. Baseline e-ASPECT, infarct core volume, hypoperfusion volume, HI, baseline international normalized ratio, and successful recanalization were associated with FIV and included in constructing the predictive model. Baseline NIHSS, baseline hypertension, stroke history, and current tobacco use were associated with poor outcomes in small FIV. (4) Conclusions: A comprehensive predictive model (including HI) of FIV was constructed. We also emphasized the importance of hypertension and smoking status at baseline for the functional outcomes in patients with a small FIV.

Indexed as

computed tomographyfollow-up infarct volumehypoperfusion indexlarge vessel occlusion

Identifiers

PMID36611444
PMCPMC9818307

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.