AIMC Topic: Odds Ratio

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Markers of endothelial damage and coagulation impairment in patients with severe sepsis resuscitated with hydroxyethyl starch 130/0.42 vs Ringer acetate.

Journal of critical care Dec 8, 2015
PURPOSE: The Scandinavian Starch for Severe Sepsis/Septic Shock (6S) trial showed increased mortality in patients resuscitated with hydroxyethyl starch 130/0.42 (HES) vs Ringer acetate. Different effects of the fluids on the endothelium may have cont...
Linear Models Odds Ratio Isotonic Solutions Hydroxyethyl Starch Derivatives Plasma Substitutes Resuscitation Thrombomodulin Middle Aged Sepsis Logistic Models Treatment Outcome Blood Coagulation Plasminogen Activator Inhibitor 1 Biomarkers Female Aged Humans Adult Male
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The relationship of blood transfusion with peri-operative and long-term outcomes after major hepatectomy for metastatic colorectal cancer: a multi-institutional study of 456 patients.

HPB : the official journal of the International Hepato Pancreato Biliary Association Nov 14, 2015
BACKGROUND: Data on prognostic implications of peri-operative blood transfusion around resection of colorectal cancer liver metastases (CRLM) are conflicting. This retrospective study assesses the association of transfusion with complications and dis...
Proportional Hazards Models Blood Loss, Surgical Female Blood Transfusion Multivariate Analysis Middle Aged Risk Factors Humans Odds Ratio Tumor Burden Retrospective Studies Kaplan-Meier Estimate Aged Time Factors Chi-Square Distribution Colorectal Neoplasms Transfusion Reaction Liver Neoplasms Hepatectomy Male Logistic Models Metastasectomy United States Treatment Outcome
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Pregnancy risk factors in autism: a pilot study with artificial neural networks.

Pediatric research Nov 2, 2015
BACKGROUND: Autism is a multifactorial condition in which a single risk factor can unlikely provide comprehensive explanation for the disease origin. Moreover, due to the complexity of risk factors interplay, traditional statistics is often unable to...
Neural Networks, Computer Algorithms Pregnancy Female Risk Factors Adult Humans Pregnancy Complications Multivariate Analysis Odds Ratio Adolescent Child Logistic Models Italy Chi-Square Distribution Autistic Disorder Male Risk Assessment Prevalence Case-Control Studies Pilot Projects
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Prognostic value of preoperative N-terminal pro-brain natriuretic peptide in non-cardiac surgery of elderly patients with normal left ventricular systolic function.

Geriatrics & gerontology international Sep 3, 2015
AIM: We investigated the prognostic value of preoperative N-terminal pro-brain natriuretic peptide (NT-proBNP) in non-cardiac surgery in elderly patients who showed normal left ventricular function on preoperative echocardiography.
Natriuretic Peptide, Brain Aged, 80 and over Multivariate Analysis Humans Odds Ratio Male Postoperative Complications Biomarkers Cohort Studies Preoperative Care Cardiovascular Diseases Prognosis ROC Curve Ventricular Function, Left Female Predictive Value of Tests Echocardiography Aged Ventricular Dysfunction, Left Risk Assessment Surgical Procedures, Operative
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Prediction of in-hospital mortality after ruptured abdominal aortic aneurysm repair using an artificial neural network.

Journal of vascular surgery May 5, 2015
OBJECTIVE: Ruptured abdominal aortic aneurysm (rAAA) carries a high mortality rate, even with prompt transfer to a medical center. An artificial neural network (ANN) is a computational model that improves predictive ability through pattern recognitio...
Shock Multivariate Analysis Odds Ratio Blood Vessel Prosthesis Implantation Endovascular Procedures Tennessee Heart Arrest Unconsciousness Aortic Rupture Logistic Models Treatment Outcome Age Factors Predictive Value of Tests Aortic Aneurysm, Abdominal Area Under Curve Middle Aged Risk Assessment Time Factors Hospital Mortality ROC Curve Humans Neural Networks, Computer Algorithms Decision Support Techniques Databases, Factual Retrospective Studies Female Risk Factors Aged Aged, 80 and over Male
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Factors Contributing to Early Recovery of Urinary Continence Analyzed by Pre- and Postoperative Pelvic Anatomical Features at Robot-Assisted Laparoscopic Radical Prostatectomy.

Journal of endourology Dec 11, 2014
OBJECTIVE: The aim of the present study is to elucidate factors contributing to early recovery of urinary continence after robot-assisted laparoscopic radical prostatectomy (RARP) from the perspective of urethral and vesical anatomical features after...
Robotics Laparoscopy Pelvis Japan Outcome Assessment, Health Care Postoperative Period Male Postoperative Complications Cohort Studies ROC Curve Recovery of Function Odds Ratio Preoperative Period Prostatectomy Urinary Incontinence Urethra Humans Prospective Studies Aged
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Short-term results after robot-assisted laparoscopic radical prostatectomy compared to open radical prostatectomy.

European urology Oct 11, 2014
BACKGROUND: Robot-assisted laparoscopic radical prostatectomy has become a widespread technique despite a lack of randomised trials showing its superiority over open radical prostatectomy.
Humans Prospective Studies Aged Male Middle Aged Prostatectomy Robotics Length of Stay Prostatic Neoplasms Time Factors Laparoscopy Treatment Outcome Prostate Lymph Node Excision Odds Ratio Regression Analysis Reoperation
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A deep learning system for detection of early Barrett's neoplasia: a model development and validation study.

The Lancet. Digital health Dec 1, 2023
BACKGROUND: Computer-aided detection (CADe) systems could assist endoscopists in detecting early neoplasia in Barrett's oesophagus, which could be difficult to detect in endoscopic images. The aim of this study was to develop, test, and benchmark a C...
Humans Deep Learning Esophageal Neoplasms Barrett Esophagus Odds Ratio Esophagoscopy
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Machine Learning for Early Lung Cancer Identification Using Routine Clinical and Laboratory Data.

American journal of respiratory and critical care medicine Aug 15, 2021
Most lung cancers are diagnosed at an advanced stage. Presymptomatic identification of high-risk individuals can prompt earlier intervention and improve long-term outcomes. To develop a model to predict a future diagnosis of lung cancer on the basi...
Aged Aged, 80 and over Sensitivity and Specificity Male Middle Aged Case-Control Studies Humans Machine Learning Retrospective Studies Female ROC Curve Lung Neoplasms Carcinoma, Non-Small-Cell Lung Early Detection of Cancer Odds Ratio Clinical Decision Rules
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Prediction of fatal adverse prognosis in patients with fever-related diseases based on machine learning: A retrospective study.

Chinese medical journal Mar 5, 2020
BACKGROUND: Fever is the most common chief complaint of emergency patients. Early identification of patients at an increasing risk of death may avert adverse outcomes. The aim of this study was to establish an early prediction model of fatal adverse ...
Odds Ratio Humans Machine Learning Prognosis Retrospective Studies ROC Curve Logistic Models Blood Pressure Fever Heart Rate
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