ArticleFrontiers in neurology2022
Novel Predictors of Stroke-Associated Pneumonia: A Single Center Analysis.
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- European stroke organisation guideline on stroke-associated pneumonia.European stroke journal · 2026Guideline
- Development and external validation of a risk stratification model for stroke-associated pneumonia.iScience · 2026Article
- The Prevalence, Predictors, and In-Hospital Outcomes of Stroke-Associated Infection in Acute Ischemic Stroke: A Malaysian Prospective Cohort Study.Journal of clinical medicine · 2026Article
- Prevalence of Stroke-Associated Pneumonia and Associated Factors Among Acute Ischemic Stroke Patients with Dysphagia.Dysphagia · 2026Article
- Bacterial stroke-associated pneumonia: microbiological analysis and mortality outcome.BMC neurology · 2024Article
- Risk Factors for the Development of Pneumonia in Stroke Patients: A Systematic Review and Meta-Analysis.Cureus · 2024Review
- The Association between High Mobility Group Box 1 and Stroke-Associated Pneumonia in Acute Ischemic Stroke Patients.Brain sciences · 2022Article
- Development and validation of a machine learning model for predicting stroke-associated pneumonia in older patients with acute ischemic stroke.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stroke-associated pneumonia (SAP) is a common cause of disability or death. Although the researches on SAP have been relatively mature, the method that can predict SAP with great accuracy has not yet been determined. It is necessary to discover new predictors to construct a more accurate predictive model for SAP. We continuously collected 2,366 patients with acute ischemic stroke, and then divided them into the SAP group and non-SAP group. Data were recorded at admission. Through univariate analyses and multivariate regression analyses of the data, the new predictive factors and the predictive model of SAP were determined. The receiver operating characteristic (ROC) curve and the corresponding area under the curve (AUC) were used to measure their predictive accuracy. Of the 2,366 patients, 459 were diagnosed with SAP. International normalized ratio (INR) (odds ratio = 37.981; 95% confidence interval, 7.487-192.665;
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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.