Results 11 to 20 of about 130,883 (345)

Infusion nomograms [PDF]

open access: yesAnaesthesia, 1993
Summary Seven infusion nomograms are presented for the rapid and accurate composition of continuous infusions. The construction of these nomograms is described.
E, Sherry, G W, Burton, D G, Wilkins
openaire   +2 more sources

Nomogram for Predicting Early Death in Patients with Metastatic Colon Cancer Based on SEER Database

open access: yesZhongliu Fangzhi Yanjiu, 2023
Objective To construct a Nomogram model that can accurately predict early death of metastatic colon cancer (mCC). Methods A total of 6 669 patients from the SEER database were identified using inclusion and exclusion criteria.
WANG Lei, HAN Huiqiong, QIN Yanru
doaj   +1 more source

A Tool to Early Predict Severe Corona Virus Disease 2019 (COVID-19) : A Multicenter Study using the Risk Nomogram in Wuhan and Guangdong, China

open access: yesClinical Infectious Diseases, 2020
Background Due to no reliable risk stratification tool for severe coronavirus disease 2019 (COVID-19) patients at admission, we aimed to construct an effective model for early identification of cases at high risk of progression to severe COVID-19 ...
Jiao Gong   +11 more
semanticscholar   +1 more source

A nomogram for predicting overall survival in patients with low‐grade endometrial stromal sarcoma: A population‐based analysis

open access: yesCancer Communications, 2020
Low‐grade endometrial stromal sarcoma (LG‐ESS) is a rare tumor that lacks a prognostic prediction model. Our study aimed to develop a nomogram to predict overall survival of LG‐ESS patients.
Jie Wu   +6 more
semanticscholar   +1 more source

Predictive Nomogram for Clinical Prognosis in Cervical Spondylotic Myelopathy With Intramedullary T2-Weighted Increased Signal Intensity: A Novel Digital Tool for Patient Prognosis Education

open access: yesFrontiers in Public Health, 2022
AimsTo establish a predictive nomogram for clinical prognosis in cervical spondylotic myelopathy (CSM) with intramedullary T2-weighted increased signal intensity (ISI).MethodsThe clinical data of 680 patients with CSM with intramedullary T2-weighted ISI ...
Jie Wang, Haopeng Li, Baohui Yang
doaj   +1 more source

Nomogram established on account of Lasso-Cox regression for predicting recurrence in patients with early-stage hepatocellular carcinoma

open access: yesFrontiers in Immunology, 2022
Purpose To investigate the risk factors for recurrence in patients with early-stage hepatocellular carcinoma (HCC) after minimally invasive treatment with curative intent, then to construct a prediction model based on Lasso-Cox regression and visualize ...
Qi Wang   +8 more
semanticscholar   +1 more source

NAFLD‐related hepatocellular carcinoma: The growing challenge

open access: yesHepatology, EarlyView., 2022
Risk and protective factors for NAFLD‐related hepatocellular carcinoma Abstract Hepatocellular carcinoma (HCC) is a common cause of cancer‐related mortality and morbidity worldwide. With the obesity pandemic, NAFLD‐related HCC is contributing to the burden of disease exponentially.
Pir Ahmad Shah   +2 more
wiley   +1 more source

From past to future: Bibliometric analysis of global research productivity on nomogram (2000–2021)

open access: yesFrontiers in Public Health, 2022
Background Nomogram, a visual clinical predictive model, provides a scientific basis for clinical decision making. Herein, we investigated 20 years of nomogram research responses, focusing on current and future trends and analytical challenges.
Xiaoxue Wang   +5 more
semanticscholar   +1 more source

Development and Validation of Prognostic Nomogram in Patients With WHO Grade III Meningioma: A Retrospective Cohort Study Based on SEER Database

open access: yesFrontiers in Oncology, 2021
IntroductionWorld Health Organization (WHO) Grade III meningioma is a central nervous system tumor with a poor prognosis. In this retrospective cohort study, the authors constructed a nomogram for predicting the prognosis of WHO Grade III meningioma ...
Zetian Jia   +7 more
doaj   +1 more source

Deep learning nomogram based on Gd-EOB-DTPA MRI for predicting early recurrence in hepatocellular carcinoma after hepatectomy

open access: yesEuropean Radiology, 2023
Objectives The accurate prediction of post-hepatectomy early recurrence in patients with hepatocellular carcinoma (HCC) is crucial for decision-making regarding postoperative adjuvant treatment and monitoring.
Meng Yan   +12 more
semanticscholar   +1 more source

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