ArticleJournal of clinical laboratory analysis2017
Atrial Fibrillation is Strongly Associated With the Neutrophil to Lymphocyte Ratio in Acute Ischemic Stroke Patients: A Retrospective Study.
Article in Journal of clinical laboratory analysis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 14 citations in OpenAlex.
- Prediction model of atrial fibrillation recurrence after Cox-Maze IV procedure in patients with chronic valvular disease and atrial fibrillation based on machine learning algorithm.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023Article
- Machine learning-based analysis of risk factors for atrial fibrillation recurrence after Cox-Maze IV procedure in patients with atrial fibrillation and chronic valvular disease: A retrospective cohort study with a control group.Frontiers in cardiovascular medicine · 2023Article
- Blood Neutrophil-to-Lymphocyte Ratio as a Predictor of Cerebral Small-Vessel Disease.Medical science monitor : international medical journal of experimental and clinical research · 2022Article
- Neutrophil-to-lymphocyte ratio predicts early worsening in stroke due to large vessel disease.PloS one · 2019Article
- Evaluation of Neutrophil-Lymphocyte Ratios, Mean Platelet Volumes, and Platelet-Lymphocyte Ratios in Pterygium.Beyoglu eye journal · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNo study has investigated the relationship between hospital-admission neutrophil and lymphocyte ratio (NLR) and various stroke risk factors. We sought to determine which stroke risk factor could be the most appropriate predictor of NLR in acute ischemic stroke.
methodsWe collected data on various stroke risk factors and National Institutes of Health Stroke Scale (NIHSS) score in 1,053 acute ischemic stroke patients. The regression analysis was adjusted for confounding factors such as stroke risk factors.
resultsThere was a trend of increased NLR with a rise in alcohol consumption, the prevalence of hypertension, cardioembolism (CE) etiology, the NIHSS scores in men and the prevalence of atrial fibrillation, other heart diseases, CE and small vessel occlusion etiology and the NIHSS scores in women. Multiple linear regression analyses, adjusted for confounding factors, showed that the atrial fibrillation and NIHSS scores in men and atrial fibrillation, diabetes mellitus as well as NIHSS scores in women had a significant positive association with NLR. However, a negative association was showed for body mass index (BMI).
conclusionWe confirmed that the atrial fibrillation can be a predictor of high NLR in acute stroke patients, and diabetes mellitus as well as low BMI could be a predictor of high NLR in female acute ischemic stroke patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.