Results 11 to 20 of about 176,645 (343)

Clinical features and risk factors of plastic bronchitis caused by refractory Mycoplasma pneumoniae pneumonia in children: a practical nomogram prediction model

open access: yesEuropean Journal of Pediatrics, 2023
Early assessment of refractory Mycoplasma pneumoniae pneumonia (RMPP) with plastic bronchitis (PB) allows timely removal of casts using fiberoptic bronchoscopic manipulation, which relieves airway obstruction and limit sequelae development.
Han Zhang   +6 more
semanticscholar   +1 more source

Predicting long-term prognosis after percutaneous coronary intervention in patients with new onset ST-elevation myocardial infarction: development and external validation of a nomogram model

open access: yesCardiovascular Diabetology, 2023
Background The triglyceride glucose (TyG) index is a well-established biomarker for insulin resistance (IR) that shows correlation with poor outcomes in patients with coronary artery disease.
Zongwei Ye   +6 more
semanticscholar   +1 more source

Development and validation of a radiomics-based nomogram for predicting a major pathological response to neoadjuvant immunochemotherapy for patients with potentially resectable non-small cell lung cancer

open access: yesFrontiers in Immunology, 2023
Introduction The treatment response to neoadjuvant immunochemotherapy varies among patients with potentially resectable non-small cell lung cancers (NSCLC) and may have severe immune-related adverse effects.
Chaoyuan Liu   +17 more
semanticscholar   +1 more source

Development of a novel combined nomogram model integrating deep learning-pathomics, radiomics and immunoscore to predict postoperative outcome of colorectal cancer lung metastasis patients

open access: yesJournal of Hematology & Oncology, 2022
Limited previous studies focused on the death and progression risk stratification of colorectal cancer (CRC) lung metastasis patients. The aim of this study is to construct a nomogram model combing machine learning-pathomics, radiomics features ...
Renjie Wang   +10 more
semanticscholar   +1 more source

Development and Validation of a Multi-institutional Nomogram of Outcomes for PSMA-PET–Based Salvage Radiotherapy for Recurrent Prostate Cancer

open access: yesJAMA Network Open, 2023
Key Points Question Is it possible to create and validate a nomogram for prediction of freedom from biochemical failure (FFBF) among patients with prostate cancer after prostate-specific membrane antigen positron-emission tomography (PSMA-PET)–guided ...
C. Zamboglou   +29 more
semanticscholar   +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

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

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

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

Nomogram Predicts Risk and Prognostic Factors for Bone Metastasis of Pancreatic Cancer: A Population-Based Analysis

open access: yesFrontiers in Endocrinology, 2022
Background The overall survival (OS) of pancreatic cancer (PC) patients with bone metastasis (BM) is extremely low, and it is pretty hard to treat bone metastasis. However, there are currently no effective nomograms to predict the diagnosis and prognosis
Wei Zhang   +9 more
semanticscholar   +1 more source

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