Evidence map›Paper›PMID 34744099›Full record

ArticleJournal of atherosclerosis and thrombosis2022

Predictive Value of the ABCD3-I for Short- and Long-Term Stroke after TIA with or without sICAS.

Xuewei Xie, Jing Jing, Xia Meng, Zixiao Li, Pan Chen, Xingquan Zhao, Yilong Wang, Liping Liu, Yong Jiang, Yuesong Pan and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2022. 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
0.4field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. ABCDInternal and emergency medicine · 2022
    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 2 countries.

Xuewei XieChina National Clinical Research Center for Neurological Diseases.
Jing JingChina National Clinical Research Center for Neurological Diseases.
Xia MengChina National Clinical Research Center for Neurological Diseases.
Zixiao LiChina National Clinical Research Center for Neurological Diseases.
Pan ChenChina National Clinical Research Center for Neurological Diseases.
Xingquan ZhaoChina National Clinical Research Center for Neurological Diseases.
Yilong WangChina National Clinical Research Center for Neurological Diseases.
Liping LiuChina National Clinical Research Center for Neurological Diseases.
Yong JiangChina National Clinical Research Center for Neurological Diseases.
Yuesong PanChina National Clinical Research Center for Neurological Diseases.
Aoming JinChina National Clinical Research Center for Neurological Diseases.
Hao LiChina National Clinical Research Center for Neurological Diseases.
Yongjun WangChina National Clinical Research Center for Neurological Diseases.
Chinese Institute for Brain Research · CNCapital Medical University · CNNational Clinical Research Center for Digestive Diseases · CNBeijing Tian Tan Hospital · CNCognitive Neuroimaging Lab · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsWe aimed to validate the predictive value of the ABCD3-I score for short-term and long-term stroke risk after transient ischemic attack (TIA) and to evaluate the influence of symptomatic intracranial artery stenosis (sICAS) on the performance of ABCD3-I.

methodsWe recruited TIA patients from the Third China National Stroke Registry study. Outcome parameters were stroke events during the 14-day, 3-month, 6-month, and 12-month points. The area under the curve (AUC) was calculated as a measure of predictive ability. A multivariable-adjusted Cox proportional hazards model was used to assess the hazard ratio of risk factors for stroke.

resultsAmong 986 patients, 3.9%, 5.1%, 6.5 %, and 8.2% of participants experienced a stroke event during the 14-day, 3-month, 6-month, and 12-month points post TIA, respectively. The AUCs of ABCD3-I score for the prediction of stroke were 0.786, 0.732, 0.715, and 0.699 at the 14-day, 3-month, 6-month, and 12-month points, respectively. The AUCs were 0.774, 0.690, 0.617, and 0.611 in patients with sICAS, 0.789, 0.748, and 0.758 and 0.734 in those without sICAS. P values of the interaction between ABCD3-I categories and sICAS were 0.0618 for 14-day, 0.0098 for 3-month, 0.0318 for 6-month, and 0.0294 for 12-month.

conclusionsABCD3-I score performed well in predicting short-term risk of a stroke after an index TIA in patients with or without sICAS. However, the predictive power decayed with the prolonged period, and the decayed extent was more pronounced among those with sICAS. The assessment of sICAS is a non-ignorable item when using the ABCD3-I score for long-term stroke risk prediction in patients with TIA.

Indexed as

Ischemic Attack, TransientStrokeHumansRegistriesRisk AssessmentRisk FactorsABCD3-IIntracranial artery stenosisRisk predictionStroke incidenceTransient ischemic attack

Identifiers

PMID34744099
PMCPMC9444691
OpenAlexW3211339190

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.