Evidence map›Paper›PMID 33545993›Full record

ArticleMedicine2021

CHADS2, CHA2DS2-VASc, ATRIA, and Essen stroke risk scores in stroke with atrial fibrillation: A nationwide multicenter registry study.

Inwu Yu, Tae-Jin Song, Bum Joon Kim, Sung Hyuk Heo, Jin-Man Jung, Kyung-Mi Oh, Chi Kyung Kim, Sungwook Yu, Kwang Yeol Park, Jeong-Min Kim and 13 more

Open access · goldAbstract readEvaluation StudyMulticenter Study
In one paragraph

Article in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Study on the predictive ability of emergency CHADSJournal of thoracic disease · 2022
    Article
  12. Association between CHADSJournal of clinical 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

23 authors at 2 institutions in 4 countries.

Inwu YuDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine.ORCID 0000-0001-6054-6863
Tae-Jin SongDepartment of Neurology, Seoul Hospital Ewha Womans University College of Medicine.
Bum Joon KimDepartment of Neurology, Stroke Center, Asan Medical Center.
Sung Hyuk HeoDepartment of Neurology, Kyung Hee University College of Medicine, Seoul.
Jin-Man JungDepartment of Neurology, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Kyungki-Do.
Kyung-Mi OhDepartment of Neurology, Korea University Guro Hospital.
Chi Kyung KimDepartment of Neurology, Korea University Guro Hospital.
Sungwook YuDepartment of Neurology, Korea University Anam Hospital, Korea University College of Medicine.
Kwang Yeol ParkDepartment of Neurology, Chung-Ang University College of Medicine.
Jeong-Min KimDepartment of Neurology, Seoul National University Hospital, Seoul.
Jong-Ho ParkDepartment of Neurology, Myongji Hospital, Hanyang University College of Medicine, Goyang.
Jay Chol ChoiDepartment of Neurology, Jeju National University, Jeju.
Man-Seok ParkDepartment of Neurology, Chonnam National University Hospital, Gwangju.
Joon-Tae KimDepartment of Neurology, Chonnam National University Hospital, Gwangju.
Yang-Ha HwangDepartment of Neurology, Cerebrovascular Center, Kyungpook National University School of Medicine and Hospital, Daegu.
Jong-Won ChungDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine.
Oh Young BangDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine.
Geong-Moon KimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine.
Yong-Jae KimDepartment of Neurology, Eunpyeong St. Mary's Hospital, the Catholic University of Korea.
Seonwoo KimStatistics and Data Center, Samsung Medical Center, Seoul, Republic of Korea.
Sook Young WooStatistics and Data Center, Samsung Medical Center, Seoul, Republic of Korea.
Hyun ChoStatistics and Data Center, Samsung Medical Center, Seoul, Republic of Korea.
Woo-Keun SeoDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine.
Apple (Israel) · ILSamsung Medical Center · KR

Funding

grant from Korean Neurological Association KNA-17-MI-10
6 · The paper itself

Abstract

abstractThe performance of scoring systems for risk stratification in patients with atrial fibrillation (AF) was not validated well in patients with stroke. The purpose of this study was to evaluate whether the risk scoring systems predict vascular outcomes in stroke patients with AF.Data were obtained from a nationwide multicenter registry for acute stroke with AF from January 1, 2013, to December 31, 2015. We investigated the predictive power of the CHADS2, CHA2DS2-VASc, ATRIA, and Essen stroke scores in stroke patients with AF. The subjects were further stratified into groups according to treatment with or without oral anticoagulants (OACs).A total of 3112 stroke with AF subjects were included. The rate of recurrent ischemic stroke and any stroke were not associated with the CHADS2, CHA2DS2-VASc, ATRIA, and Essen stroke risk scores. The risks of death and major adverse cerebrovascular and cardiovascular events (MACEs) increased sequentially with the increase of each risk score in OAC group. (the range of C-index 0.544-0.558 for recurrent ischemic stroke; 0.523-0.537 for any stroke; 0.580-0.597 for death; 0.564-0.583 for MACEs). However, in the group treated with OACs, all risk scores were significantly associated with the risk of MACEs. The C-statistics of the 4 scoring systems were 0.544 to 0.558, 0.523 to 0.537, 0.580 to 0.597, 0.564 to 0.583, respectively, for recurrent ischemic stroke, any stroke, death, and MACEs.The performance of the CHADS2, CHA2DS2-VASc, ATRIA, and Essen stroke risk scores for the prediction of recurrent stroke was unsatisfactory in stroke patients with AF whereas the performance for the prediction of recurrent stroke was not MACEs or death was good. A new risk stratification scheme that is specific for secondary stroke prevention in the AF population is needed.

Indexed as

Health Status IndicatorsAgedAged, 80 and overAtrial FibrillationCardiovascular DiseasesFemaleHeart Disease Risk FactorsHumansIncidenceMaleMiddle AgedPredictive Value of TestsProportional Hazards ModelsProspective StudiesRecurrenceRegistries

Identifiers

PMID33545993
PMCPMC7837865
OpenAlexW3125557764

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.