Evidence map›Paper›PMID 30251368›Full record

ArticleClinical cardiology2018

Diagnostic accuracy of STAF, LADS, and iPAB scores for predicting paroxysmal atrial fibrillation in patients with acute cerebral infarction.

Xingdong Chen, Weiliang Luo, Jiming Li, Mei Li, Lizhi Wang, Yu Rao, Bosheng Li, Wei Zeng

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Association Between Ghrelin Gene Polymorphism and Cerebral Infarction.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
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  7. 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

8 authors at 1 institution in 1 country.

Xingdong ChenDepartment of Neurology, Huizhou Affiliated Hospital of Guangdong Medical University, Huizhou Municipal Central Hospital, Huizhou, China.
Weiliang LuoDepartment of Neurology, Huizhou Affiliated Hospital of Guangdong Medical University, Huizhou Municipal Central Hospital, Huizhou, China.ORCID https://orcid.org/0000-0001-8053-8596
Jiming LiDepartment of Neurology, Huizhou Affiliated Hospital of Guangdong Medical University, Huizhou Municipal Central Hospital, Huizhou, China.ORCID https://orcid.org/0000-0001-6750-6717
Mei LiDepartment of Neurology, Huizhou Affiliated Hospital of Guangdong Medical University, Huizhou Municipal Central Hospital, Huizhou, China.
Lizhi WangDepartment of Neurology, Huizhou Affiliated Hospital of Guangdong Medical University, Huizhou Municipal Central Hospital, Huizhou, China.
Yu RaoDepartment of Neurology, Huizhou Affiliated Hospital of Guangdong Medical University, Huizhou Municipal Central Hospital, Huizhou, China.
Bosheng LiDepartment of Neurology, Huizhou Affiliated Hospital of Guangdong Medical University, Huizhou Municipal Central Hospital, Huizhou, China.
Wei ZengDepartment of Neurology, Huizhou Affiliated Hospital of Guangdong Medical University, Huizhou Municipal Central Hospital, Huizhou, China.
Guangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe scoring scales scoring system for targeting atrial fibrillation (STAF), left atrial diameter, age, diagnosis of stroke, and smoking status (LADS), and identified by past history of arrhythmia or antiarrhythmic agent use, atrial dilation, and elevation of Brain natriuretic peptide (iPAB) have been proposed for predicting atrial fibrillation in patients with acute cerebral infarction, but their relative accuracies are not clear. This prospective study compared STAF, LADS, and iPAB scores for predicting paroxysmal atrial fibrillation (PAF) in patients with acute cerebral infarction.

methodsPatients with acute cerebral infarction (n = 744; 495 men, 249 women; aged 65 ± 12 years) were consecutively enrolled throughout the year 2016 at the Department of Neurology of Huizhou Municipal Central Hospital. Patients were followed for 3 months. The sensitivity, specificity, area under the receiver operating characteristic curve (AUC), and best cutoff points of STAF, LADS, and iPAB scores for predicting PAF were computed.

resultsAmong the 744 patients, 37 patients had PAF. The AUCs of the STAF, LADS, and iPAB scores for predicting PAF were 0.87, 0.79, and 0.84, respectively, and with a cutoff at four points, the sensitivities were 73%, 70.3%, and 83.8%, and specificities were 92.1%, 82.2%, and 77%.

conclusionsThe STAF, LADS, and iPAB scores could satisfactorily predict PAF in patients with acute cerebral infarction. STAF was superior to the others in diagnostic performance.

Indexed as

Acute DiseaseAgedAtrial FibrillationCerebral InfarctionElectrocardiography, AmbulatoryFemaleFollow-Up StudiesHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesROC CurveSeverity of Illness IndexTomography, X-Ray Computedacute cerebral infarctionatrial fibrillationiPAB scoreLADS scoreparoxysmal atrial fibrillationSTAF score

Identifiers

PMID30251368
PMCPMC6489907
OpenAlexW2893703114

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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.