Risk assessment model and nomogram established by differentially expressed lncRNAs for early-stage lung squamous cell carcinoma [PDF]
Zhulin Wu +2 more
openalex +1 more source
This study developed a user‐friendly online dynamic nomogram using Bayesian model averaging to predict survival in colon cancer patients. Drawing on data from over 2400 cases, the model demonstrated strong predictive accuracy and was externally validated, offering a practical tool to support personalised clinical decision‐making.
Mohammad Asghari‐Jafarabadi +4 more
wiley +1 more source
Low muscle, high leak? The aMFR wake‐up call for women's bladders!
Abstract Objective This study aimed to determine the association between appendicular muscle‐to‐fat ratio (aMFR) and the risk of urinary incontinence (UI) in women. Methods A total of 4393 participants recruited from the National Health and Nutrition Examination Database (NHANES) from 2011 to 2018 were included in this study.
Jingyi Zhou +8 more
wiley +1 more source
Analysis of risk factors for adverse outcomes and development of a predictive model in patients with acute mild ischemic stroke following intravenous thrombolytic therapy with rt-PA. [PDF]
Xiao Y +8 more
europepmc +1 more source
MP01-02 A NOMOGRAM FOR PREDICTING URETERAL STONE PASSAGE [PDF]
Vishnu Ganesan +7 more
openalex +1 more source
Prediction Models for Acute Kidney Injury in Stroke Patients: A Systematic Review
Predictive models can assess the risk of acute kidney injury following stroke. However, there remains a need to develop tools with lower bias and higher applicability in the future. ABSTRACT Introduction To systematically identify and synthesize the research on prediction models for acute kidney injury (AKI) in stroke patients.
Baihui Zhong +3 more
wiley +1 more source
A novel nomogram to predict length of stay in patients undergoing pylorus-preserving pancreaticoduodenectomy: A retrospective study. [PDF]
He Y, Li S, Ai Y.
europepmc +1 more source
NSUN5 as a Prognostic Biomarker Correlates with Malignant Phenotype and Therapeutic Target in Glioma
This study systematically analyzed the expression levels, clinical features, prognostic value, immune‐related roles, drug sensitivity, and biological functions of NSUN5 in glioma based on the CGGA and TCGA databases. Finally, a machine learning‐based prognostic model was constructed, and the function of NSUN5 was validated through in vitro experiments.
Ye Wenhao +10 more
wiley +1 more source
Appendix A: Extracts from Baarda's Nomogram [PDF]
PEng John Olusegun Ogundare
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