Results 41 to 50 of about 176,645 (343)

Factors contributing to 1-year dissatisfaction after total knee arthroplasty: a nomogram prediction model

open access: yesJournal of Orthopaedic Surgery and Research, 2022
Background Identifying risk factors and early intervention are critical for improving the satisfaction rate of total knee arthroplasty (TKA). Our study aimed to identify patient-specific variables and establish a nomogram model to predict dissatisfaction
Mieralimu Muertizha   +4 more
semanticscholar   +1 more source

AASLD practice guidance on drug, herbal, and dietary supplement–induced liver injury

open access: yes, 2022
Hepatology, EarlyView.
Robert J. Fontana   +6 more
wiley   +1 more source

Development and validation of a nomogram to predict the prognosis of patients with gastric cardia cancer

open access: yesScientific Reports, 2020
Our goal was to develop a prognostic nomogram to predict overall survival (OS) and cancer-specific survival (CSS) in patients with gastric cardia cancer (GCC).
Xiuquan Shi   +3 more
doaj   +1 more source

Establishment and validation of a novel nomogram incorporating clinicopathological parameters into the TNM staging system to predict prognosis for stage II colorectal cancer

open access: yesCancer Cell International, 2020
Background Survival outcomes are significantly different in stage II colorectal cancer (CRC) patients with diverse clinicopathological features. The objective of this study is to establish a credible prognostic nomogram incorporating easily obtained ...
Shaobo Mo   +7 more
doaj   +1 more source

Nomogram based on clinical characteristics and serological inflammation markers to predict overall survival of oral tongue squamous cell carcinoma patient after surgery

open access: yesBMC Oral Health, 2021
Background Oral tongue squamous cell carcinoma (OTSCC) is a prevalent malignant disease that is characterized by high rates of metastasis and postoperative recurrence.
Yi-Wei Lin   +12 more
doaj   +1 more source

Development and Validation a Nomogram for Predicting Overall Survival in Patients With Intrahepatic Cholangiocarcinoma

open access: yesFrontiers in Surgery, 2021
Background: This study aims to establish an effective nomogram to predict the overall survival of patients with intrahepatic cholangiocarcinoma (ICC).Patients and Methods: Data used to build the nomogram comes from the Surveillance, Epidemiology, and End
Chen Yuan   +3 more
doaj   +1 more source

Urinary CE-MS peptide marker pattern for detection of solid tumors [PDF]

open access: yes, 2018
Urinary profiling datasets, previously acquired by capillary electrophoresis coupled to mass-spectrometry were investigated to identify a general urinary marker pattern for detection of solid tumors by targeting common systemic events associated with ...
Belczacka, Iwona   +8 more
core   +2 more sources

A Nomogram for Predicting Cancer-Specific Survival of Osteosarcoma and Ewing's Sarcoma in Children: A SEER Database Analysis

open access: yesFrontiers in Public Health, 2022
Background Osteosarcoma (OSC) and Ewing's sarcoma (EWS) are children's most common primary bone tumors. The purpose of the study is to develop and validate a new nomogram to predict the cancer-specific survival (CSS) of childhood OSC and EWS. Methods The
Jinkui Wang   +8 more
semanticscholar   +1 more source

Full-field pulsed magneto-photoelasticity – Experimental Implementation [PDF]

open access: yes, 2006
This paper contains a description of the experimental procedure employed when using a pulsed-magneto-polariscope (PMP) and some initial full-field through-thickness measurements of the stress distribution present in samples containing 3D stresses.
Aben H. K.   +3 more
core   +1 more source

Nomogram Models for Predicting Risk and Prognosis of Newly Diagnosed Ovarian Cancer Patients with Liver Metastases - A Large Population-Based Real-World Study

open access: yesJournal of Cancer, 2018
Background: Previous studies about liver metastases (LM) in newly diagnosed ovarian cancer (NDOC) patients based on Surveillance, Epidemiology, and End Results (SEER) program disregarded selection bias of missing data. Methods: We identified Data of NDOC
Gui-Min Hou   +7 more
semanticscholar   +1 more source

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