Evidence map›Paper›PMID 36104090›Full record

ArticleStroke and vascular neurology2023

Risk stratification in symptomatic intracranial atherosclerotic disease with conventional vascular risk factors and cerebral haemodynamics.

Xuan Tian, Hui Fang, Linfang Lan, Hing Lung Ip, Jill Abrigo, Haipeng Liu, Lina Zheng, Florence S Y Fan, Sze Ho Ma, Bonaventure Ip and 10 more

Open access · goldAbstract read
In one paragraph

Article in Stroke and vascular neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Review
  6. Article
  7. Angiography‑based quantitative flow ratio for functional assessment of intracranial atherosclerotic disease.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2024
    Article
  8. Article
  9. Artificial Intelligence in Hypertension Management: An Ace up Your Sleeve.Journal of cardiovascular development and disease · 2023
    Review
  10. Observational
  11. 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

20 authors at 4 institutions in 3 countries.

Xuan TianDepartment of Medicine and Therapeutics, The Chinese University, Hong Kong, China.ORCID http://orcid.org/0000-0002-4983-209X
Hui FangDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Linfang LanDepartment of Medicine and Therapeutics, The Chinese University, Hong Kong, China.
Hing Lung IpDepartment of Medicine and Therapeutics, The Chinese University, Hong Kong, China.
Jill AbrigoDepartment of Imaging and Interventional, The Chinese University, Hong Kong, China.
Haipeng LiuDepartment of Medicine and Therapeutics, The Chinese University, Hong Kong, China.
Lina ZhengDepartment of Medicine and Therapeutics, The Chinese University, Hong Kong, China.
Florence S Y FanDepartment of Medicine and Therapeutics, The Chinese University, Hong Kong, China.
Sze Ho MaDepartment of Medicine and Therapeutics, The Chinese University, Hong Kong, China.
Bonaventure IpDepartment of Medicine and Therapeutics, The Chinese University, Hong Kong, China.ORCID http://orcid.org/0000-0002-1619-4992
Bo SongDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yuming XuDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Jingwei LiDepartment of Neurology, Nanjing University Medical School Affiliated Nanjing Drum Tower Hospital, Nanjing, Jiangsu, China.
Bing ZhangDepartment of Radiology, Nanjing University Medical School Affiliated Nanjing Drum Tower Hospital, Nanjing, Jiangsu, China.
Yun XuDepartment of Neurology, Nanjing University Medical School Affiliated Nanjing Drum Tower Hospital, Nanjing, Jiangsu, China.ORCID http://orcid.org/0000-0001-5288-0319
Yannie O Y SooDepartment of Medicine and Therapeutics, The Chinese University, Hong Kong, China.
Vincent MokDepartment of Medicine and Therapeutics, The Chinese University, Hong Kong, China.
Ka Sing WongDepartment of Medicine and Therapeutics, The Chinese University, Hong Kong, China.
Thomas W LeungDepartment of Medicine and Therapeutics, The Chinese University, Hong Kong, China.ORCID http://orcid.org/0000-0001-8193-0709
Xinyi LengDepartment of Medicine and Therapeutics, The Chinese University, Hong Kong, China xinyi_leng@cuhk.edu.hk.ORCID http://orcid.org/0000-0001-7300-6647
Chinese University of Hong Kong · HKNanjing Drum Tower Hospital · CNFirst Affiliated Hospital of Zhengzhou University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeSymptomatic intracranial atherosclerotic stenosis (sICAS) is associated with a considerable risk of recurrent stroke despite contemporarily optimal medical treatment. Severity of luminal stenosis in sICAS and its haemodynamic significance quantified with computational fluid dynamics (CFD) models were associated with the risk of stroke recurrence. We aimed to develop and compare stroke risk prediction nomograms in sICAS, based on vascular risk factors and these metrics.

methodsPatients with 50%-99% sICAS confirmed in CT angiography (CTA) were enrolled. Conventional vascular risk factors were collected. Severity of luminal stenosis in sICAS was dichotomised as moderate (50%-69%) and severe (70%-99%). Translesional pressure ratio (PR) and wall shear stress ratio (WSSR) were quantified via CTA-based CFD modelling; the haemodynamic status of sICAS was classified as normal (normal PR&WSSR), intermediate (otherwise) and abnormal (abnormal PR&WSSR). All patients received guideline-recommended medical treatment. We developed and compared performance of nomograms composed of these variables and independent predictors identified in multivariate logistic regression, in predicting the primary outcome, recurrent ischaemic stroke in the same territory (SIT) within 1 year.

resultsAmong 245 sICAS patients, 20 (8.2%) had SIT. The D

conclusionsThe D

Indexed as

Brain IschemiaIntracranial ArteriosclerosisStrokeCerebral InfarctionConstriction, PathologicHemodynamicsHumansMiddle AgedRisk AssessmentRisk Factorsatherosclerosisprospective studiesrisk factorsstroke

Identifiers

PMID36104090
PMCPMC9985805
OpenAlexW4295681745

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.