Evidence map›Paper›PMID 33934213›Full record

ArticleJournal of neurology2021

ASPECTS-based net water uptake as an imaging biomarker for lesion age in acute ischemic stroke.

XiaoQing Cheng, Hang Wu, JiaQian Shi, Zheng Dong, Jia Liu, ChangSheng Zhou, QuanHui Liu, XiaoQin Su, Zhao Shi, YingLe Li and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Association between occlusion location, net water uptake and ischemic lesion growth in large vessel anterior circulation strokes.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  10. Review
  11. Article
  12. Article
  13. Value of Multimodal Computed Tomography Quantitative Analysis for Predicting Early Neurological Deterioration in Acute Ischemic Stroke Patients Undergoing Intravenous Thrombolysis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

13 authors at 5 institutions in 1 country.

XiaoQing Cheng *Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, 305 Zhongshan East Road, Nanjing, 210002, Jiangsu, China.
Hang Wu *Department of Neurology, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
JiaQian ShiDepartment of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Zheng DongDepartment of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Jia LiuDepartment of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, 305 Zhongshan East Road, Nanjing, 210002, Jiangsu, China.
ChangSheng ZhouDepartment of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, 305 Zhongshan East Road, Nanjing, 210002, Jiangsu, China.
QuanHui LiuDepartment of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, 305 Zhongshan East Road, Nanjing, 210002, Jiangsu, China.
XiaoQin SuDepartment of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, 305 Zhongshan East Road, Nanjing, 210002, Jiangsu, China.
Zhao ShiDepartment of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, 305 Zhongshan East Road, Nanjing, 210002, Jiangsu, China.
YingLe LiDepartment of Neurology, The First School of Clinical Medicine, Jinling Hospital, Southern Medical University, Nanjing, China.
LuLu XiaoDepartment of Neurology, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
WuSheng ZhuDepartment of Neurology, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China. zwsemail@sina.com.
GuangMing LuDepartment of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, 305 Zhongshan East Road, Nanjing, 210002, Jiangsu, China. cjr.luguangming@vip.163.com.
Nanjing General Hospital of Nanjing Military Command · CNNanjing University · CNXuzhou Medical College · CNNanjing Medical University · CNSouthern Medical University · CN

Funding

the Major project of the National Natural Scientific Foundation of China 81790653the National Natural Science Foundation of China 81671170
6 · The paper itself

Abstract

objectiveWe assessed the value of computed tomography (CT) and automated Alberta Stroke Program Early CT Score (ASPECTS) with net water uptake (NWU) to predict stroke onset time.

methodsTwo-hundred forty stroke patients with anterior circulation large-vessel occlusion were included. CT-ASPECTS-NWU values were calculated by comparing the mean Hounsfield units of affected ASPECTS regions with unaffected contralateral regions. The correlation between ASPECTS-NWU and stroke onset to CT time was assessed. ASPECTS-NWU predictive values were calculated to identify a stroke onset to CT time of within 4.5/6 h.

resultsA correlation existed between stroke onset to CT time and ASPECTS-NWU (r = 0.65, p < 0.001), which was affected by collateral status and infarct location. The area under the receiver operating characteristic (ROC) curve (AUC) for distinguishing a stroke onset to CT time of within 4.5 h was 0.837 (95% confidence interval [CI] 0.784-0.881; optimal cutoff 7%; sensitivity 87.10%; specificity 62.36%). The multi-index AUC was 0.884 (95% CI 0.837-0.922). The AUC for distinguishing a stroke onset to CT time of within 6 h was 0.836 (95% CI 0.783-0.880; optimal cutoff 9%; sensitivity 72.73%; specificity 81.16%). The multi-index AUC was 0.881 (95% CI 0.834-0.920).

conclusionsASPECTS-NWU may be used to determine stroke onset time in patients with unwitnessed or wake-up stroke.

Indexed as

Brain IschemiaIschemic StrokeStrokeBiomarkersHumansRetrospective StudiesWaterBiomarkersWaterASPECTSBiomarkerCTIschemic strokeTime

Identifiers

PMID33934213
OpenAlexW3157175333

What OpenQuestion holds

Textmetadata
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.