Evidence map›Paper›PMID 33154178›Full record

ArticleStroke and vascular neurology2020

Inconsistent centralised versus non-centralised ischaemic stroke aetiology.

Yue Suo, Jing Jing, Xia Meng, Zixiao Li, Yuesong Pan, Yong Jiang, Xiaomeng Yang, Huan Liu, Hongyi Yan, Liping Liu and 4 more

Open access · goldAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Stroke and vascular neurology, 2020. 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
2.9field-weighted citation impact, top 8% 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, 24 citations in OpenAlex.

  1. TheJournal of the American Heart Association · 2026
    Article
  2. Associations between admission levels of multiple biomarkers and subsequent worse outcomes in acute ischemic stroke patients.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

14 authors at 1 institution in 1 country.

Yue SuoDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.ORCID 0000-0002-0632-0262
Jing JingDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.
Xia MengDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.
Zixiao LiDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.ORCID 0000-0002-4713-5418
Yuesong PanDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.ORCID 0000-0003-3082-6789
Yong JiangDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.
Xiaomeng YangDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.
Huan LiuDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.
Hongyi YanDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.
Liping LiuDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.ORCID 0000-0003-2943-055X
Xingquan ZhaoDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.
Yilong WangDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.
Hao LiDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.ORCID 0000-0002-8591-4105
Yongjun WangDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China yongjunwang@ncrcnd.org.cn.ORCID 0000-0002-9976-2341
Beijing Tian Tan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe Trial of Org 10 172 in Acute Stroke Treatment (TOAST) system is the most widely used aetiological categorisation system in clinical practice and research. Limited studies have validated the accuracy of routine aetiological diagnosis of patients with ischaemic stroke according to the TOAST criteria when the reported subtype is assumed to be correct. We investigated the agreement between centralised and non-centralised (site-reported, at discharge) stroke subtypes in the Third China National Stroke Registry (CNSR-III), and analysed the influence of classification consistency on evaluation during hospitalisation and for secondary prevention strategy.

methodsAll patients with ischaemic stroke from the CNSR-III study with complete diffusion-weighted imaging data were included. We used multivariable Cox proportional-hazard regression models to evaluate the factors associated with consistency between centralised and non-centralised stroke subtypes. Sensitivity analyses were conducted of the subgroup of patients with complete information.

resultsThis study included 12 180 patients (mean age, 62.3 years; and women, 31.4%). Agreement between centralised and non-centralised subtype was the highest for the large-artery atherosclerosis subtype stroke (77.4% of centralised patients), followed by the small-vessel occlusion subtype (40.6% of centralised patients). Agreements for cardioembolism and stroke of other determined aetiology subtypes were 38.7% and 12.2%, respectively. Patient-level and hospital-level factors were associated with the inconsistency between centralised/non-centralised aetiological subtyping. This inconsistency was related to differences in secondary prevention strategies. Only 15.3% of the newly diagnosed patients with cardioembolism underwent centralised subtyping with indications to receive oral anticoagulants at discharge. In comparison, 51.3% of the consistent cardioembolism group and 42.0% of the centrally reassigned cardioembolism group with anticoagulation indications were prescribed oral anticoagulants.

conclusionsSubstantial inconsistency exists between centralised and non-centralised subtyping in China. Inaccurate aetiological subtyping could lead to inadequate secondary prevention, especially in patients with cardioembolic stroke.

Indexed as

Clinical Decision RulesAdministration, OralAgedAnticoagulantsChinaDiffusion Magnetic Resonance ImagingEmbolic StrokeFemaleHumansIschemic StrokeMaleMiddle AgedPatient AdmissionPatient DischargePredictive Value of TestsProspective StudiesAnticoagulantsstroke

Identifiers

PMID33154178
PMCPMC7804066
OpenAlexW3097779440

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.