ArticleFrontiers in neurology2023
Prediction of long-term mortality in patients with ischemic stroke based on clinical characteristics on the first day of ICU admission: An easy-to-use nomogram.
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 16 papers, 2 of them syntheses that pooled 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.
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
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Predictive Value of Machine Learning for Poststroke Mortality Risk: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Risk Factors for Mortality in Stroke Patients Admitted to Critical Care Units: A Systematic Review and Meta-Analysis.Brain and behavior · 2025Pooled it
- Online Clinical Calculator for Predicting 28-Day Mortality in Older Adult Patients With Sepsis-Associated Encephalopathy: Retrospective Study Using MIMIC-IV.JMIR medical informatics · 2025Article
- SMART-M24: A Prognostic Nomogram for Long-Term Mortality in Acute Ischemic Stroke Beyond 24 H from Symptom Onset.Translational stroke research · 2025Article
- Prognostic value of admission respiratory rate in patients with acute myocardial infarction.BMC cardiovascular disorders · 2025Article
- In-Hospital Mortality Prediction among Intensive Care Unit Patients with Acute Ischemic Stroke: A Machine Learning Approach.Health data science · 2025Article
- Comprehensive risk factor-based nomogram for predicting one-year mortality in patients with sepsis-associated encephalopathy.Scientific reports · 2024Article
- Development and Validation of a Predictive Score for Three-Year Mortality in Acute Ischemic Stroke Patients.Medicina (Kaunas, Lithuania) · 2024Article
- A novel higher performance nomogram based on explainable machine learning for predicting mortality risk in stroke patients within 30 days based on clinical features on the first day ICU admission.BMC medical informatics and decision making · 2024Article
- Deep learning model integrating radiologic and clinical data to predict mortality after ischemic stroke.Heliyon · 2024Article
- Article
- Development and validation of a nomogram for predicting 28-day mortality in patients with ischemic stroke.PloS one · 2024Article
- Development of a Predictive Nomogram for Intra-Hospital Mortality in Acute Ischemic Stroke Patients Using LASSO Regression.Clinical interventions in aging · 2024Article
- Development and Validation of a Dynamic Nomogram for Predicting 3-Month Mortality in Acute Ischemic Stroke Patients with Atrial Fibrillation.Risk management and healthcare policy · 2024Article
- Development and verification of a nomogram for predicting short-term mortality in elderly ischemic stroke populations.Scientific reports · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: This study aimed to establish and validate an easy-to-use nomogram for predicting long-term mortality among ischemic stroke patients. Methods: All raw data were obtained from the Medical Information Mart for Intensive Care IV database. Clinical features associated with long-term mortality (1-year mortality) among ischemic stroke patients were identified using least absolute shrinkage and selection operator regression. Then, binary logistic regression was used to construct a nomogram, the discrimination of which was evaluated by the concordance index (C-index), integrated discrimination improvement (IDI), and net reclassification index (NRI). Finally, a calibration curve and decision curve analysis (DCA) were employed to study calibration and net clinical benefit, compared to the Glasgow Coma Scale (GCS) and the commonly used disease severity scoring system. Results: Patients who were identified with ischemic stroke were randomly assigned into developing ( Conclusion: This proposed nomogram has good performance in predicting long-term mortality among ischemic stroke patients.
Indexed as
Identifiers
What Socratic 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 Socratic graph.