Development and validation of a nomogram for predicting immunotherapy outcomes in lung cancer patients using clinical and blood biomarkers. [PDF]
Ouyang T +9 more
europepmc +1 more source
Nomograms for geological problems
Non-measured data must often be determined from collected data. It can be done among others with nomograms. A nomogram is a geometric expression of a relation; how this relation is given, is only of importance for the form of the nomogram. A nomogram must be simpler and swifter than calculation and construction.
openaire +3 more sources
Single‐Droplet Dual‐Target Quantification of circRNA Biomarkers for Colorectal Cancer Screening
Circular RNAs are crucial in tumorigenesis. This study identifies circCK1γ3 and circWDR37 as dual plasma biomarkers for colorectal cancer (CRC) screening. It is developed Casµchip, a droplet microfluidic chip using Cas13a/b technology to quantify these biomarkers.
Jingsong Xu +11 more
wiley +1 more source
Dynamic nomogram for predicting the overall survival and cancer-specific survival of patients with gastrointestinal neuroendocrine tumor: a SEER-based retrospective cohort study and external validation. [PDF]
Wang Y +8 more
europepmc +1 more source
A pitfall in the use of the Altman nomogram for power estimation
M. Evans, Chris Harrison, W.W. MAPLESON
openalex +1 more source
Real‐world clinical outcomes of oligometastatic prostate cancer using SBRT: An Australian experience
Abstract Objectives This work aimed to report real‐world outcomes from the use of SBRT to treat ADT naïve, PSMA‐detected oligometastatic prostate cancer (OPCa) and to assess disease and treatment characteristics in this heterogeneous population intersect or impact treatment response.
Samantha Shekar +16 more
wiley +1 more source
Development and validation of nomograms for predicting prognosis in patients with resectable bladder urothelial carcinoma undergoing radical cystectomy: a multicenter retrospective study. [PDF]
Ji J +5 more
europepmc +1 more source
Value of the australian antibiotic guidelines nomogram in monitoring aminoglycoside concentrations
Nicholas A. Buckley, Sepehr Shakib
openalex +1 more source
Abstract Background and Objective Preoperative risk stratification in renal tumour surgery is essential to enable risk‐adjusted postoperative patient monitoring. Machine learning (ML) models predicting major complications (MCs) and acute kidney injuries (AKIs) following partial (PN) or radical nephrectomy (RN) have not been made, nor have they been ...
Julia Mühlbauer +11 more
wiley +1 more source

