Evidence map›Paper›PMID 36846117›Full record

ArticleFrontiers in neurology2023

Combination of platelet-to-lymphocyte ratio and D-dimer for the identification of cardiogenic cerebral embolism in non-valvular atrial fibrillation.

Yachen Shi, Chenhao Xuan, Wei Ji, Feng Wang, Jin Huang, Lei Li, Hui Wang, Jingyu Deng, Junfei Shao, Kefei Chen and 4 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Yachen ShiDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Chenhao XuanDepartment of Critical Care Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Wei JiDepartment of Functional Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Feng WangDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Jin HuangDepartment of Functional Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Lei LiDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Hui WangDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Jingyu DengDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Junfei ShaoDepartment of Neurosurgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Kefei ChenDepartment of Functional Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Xuqiang MaoDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Qinghua XuDepartment of Functional Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Yiping YouDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Guangjun XiDepartment of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-valvular atrial fibrillation (NVAF) is the most common cause of cardiogenic cerebral embolism (CCE). However, the underlying mechanism between cerebral embolism and NVAF is indefinite, and there is no effective and convenient biomarker to identify potential risk of CCE in patients with NVAF in clinic. The present study aims to identify risk factors for interpreting the potential association of CCE with NVAF and providing valuable biomarkers to predict the risk of CCE for NVAF patients. Methods: 641 NVAF patients diagnosed with CCE and 284 NVAF patients without any history of stroke were recruited in the present study. Clinical data including demographic characteristics, medical history, and clinical assessments, were recorded. Meanwhile, Blood cell counts, lipid profiles, high-sensitivity C-reactive protein, and coagulation function-related indicators were measured. Least absolute shrinkage and selection operator (LASSO) regression analysis was utilized to build a composite indicator model based on the blood risk factors. Results: (1) CCE patients had significantly increased neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio (PLR), and D-dimer levels as compared with patients in the NVAF group, and these three indicators can distinguish CCE patients from ones in the NVAF group with an area under the curve (AUC) value of over 0.750, respectively. (2) Using the LASSO model, a composite indicator, i.e., the risk score, was determined based on PLR and D-dimer and displayed differential power for distinguishing CCE patients from NVAF patients with an AUC value of over 0.934. (3) The risk score was positively correlated with the National Institutes of Health Stroke Scale and CHADS2 scores in CCE patients. (4) There was a significant association between the change value of the risk score and the recurrence time of stroke in initial CCE patients. Conclusions: The PLR and D-dimer represent an aggravated process of inflammation and thrombosis in the occurrence of CCE after NVAF. The combination of these two risk factors can contribute to identifying the risk of CCE for patients with NVAF with an accuracy of 93.4%, and the greater in change of composite indicator, the shorter in the recurrence of CCE for NVAF patients.

Indexed as

cardiogenic cerebral embolismD-dimerleast absolute shrinkage and selection operatornon-valvular atrial fibrillationplatelet-to-lymphocyte ratio

Identifiers

PMID36846117
PMCPMC9945082

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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.