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Clinical prediction model
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Paclitaxel is commonly used as a second-line therapy for advanced gastric cancer (AGC). The decision to proceed with second-line chemotherapy and select an appropriate regimen is critical for vulnerable patients with AGC progressing after first-line chemotherapy.
9p
vishanshan
27-06-2024
2
1
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To establish and validate a predictive model combining pretreatment multiparametric MRI-based radiomic signatures and clinical characteristics for the risk evaluation of early rapid metastasis in nasopharyngeal carcinoma (NPC) patients.
12p
vishanshan
27-06-2024
1
1
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Glioma recurrence, subsequent to maximal safe resection, remains a pivotal challenge. This study aimed to identify key clinical predictors influencing recurrence and develop predictive models to enhance neurological diagnostics and therapeutic strategies.
12p
vikoch
27-06-2024
1
1
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The prognosis of SCLC is poor and difficult to predict. The aim of this study was to explore whether a model based on radiomics and clinical features could predict the prognosis of patients with limited-stage small cell lung cancer (LS-SCLC).
12p
vikoch
27-06-2024
1
1
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As biomarkers, microRNAs (miRNAs) are closely associated with the occurrence, progression, and prognosis of non-small cell lung cancer (NSCLC). However, the prognostic predictive value of miRNAs in NSCLC has rarely been explored. In this study, the value in prognosis prediction of NSCLC was mined based on data mining models using clinical data and plasma miRNAs biomarkers.
10p
vikoch
27-06-2024
1
1
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Early prediction of ovarian cancer has not been given much attention, the application of combined models in clinical practice is not widespread, and the calculation of these models is still difficult due to the complexity and multiple variables.
8p
vioraclene
31-03-2024
3
1
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Circulating tumor (ct) DNA is a powerful tool that can be used to track cancer beyond a single snapshot in space and time. It has potential applications in detecting minimal residual disease and predicting relapse, in selecting patients for tailored treatments, and in revealing mechanisms of response or resistance. Here, we discuss the incorporation of ctDNA into clinical trials.
4p
vibransone
28-03-2024
4
2
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Precision medicine (PM) can be defined as a predictive, preventive, personalized, and participatory healthcare service delivery model. Recent developments in molecular biology and information technology make PM a reality today through the use of massive amounts of genetic, ‘omics’, clinical, environmental, and lifestyle data.
12p
vioraclene
31-03-2024
3
2
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Each year 3–6 million people develop life-threatening severe dengue (SD). Clinical warning signs for SD manifest late in the disease course and are nonspecific, leading to missed cases and excess hospital burden. Better SD prognostics are urgently needed.
15p
viellison
28-03-2024
7
2
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In China, ~1,072,100 small for gestational age (SGA) births occur annually. These SGA newborns are a high-risk population of developmental delay. Our study aimed to evaluate the genetic profile of SGA newborns in the newborn intensive care unit (NICU) and establish a prognosis prediction model by combining clinical and genetic factors.
15p
vicwell
29-02-2024
4
2
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Part 2 book "Biostatistics - A methodology for the health sciences" includes content: Association and prediction - multiple regression analysis and linear models with multiple predictor variables; multiple comparisons; discrimination and classification; principal component analysis and factor analysis; rates and proportions; analysis of the time to an event - survival analysis; sample sizes for observational studies; longitudinal data analysis; randomized clinical trials; personal postscript.
453p
muasambanhan06
03-02-2024
6
1
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Accurately predicting the prognosis of patients with spontaneously ruptured hepatocellular carcinoma (HCC) is crucial for effective clinical management. The aim of the present study was to establish and evaluate prediction models for 30-day and 1-year survival in patients with spontaneously ruptured HCC.
10p
vileonardodavinci
23-12-2023
6
2
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This study aimed to develop an integrated model for predicting the occurrence of postoperative seizures in patients with diffuse high-grade gliomas (DHGGs) using clinical and RNA-seq data.
11p
vileonardodavinci
23-12-2023
7
2
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This study aims to establish and validate a new diagnosis model called P.Z.A. score for clinically significant prostate cancer (csPCa). The demographic and clinical characteristics of 956 patients were recorded. Age, prostate-specific antigen (PSA), free/total PSA (f/tPSA), PSA density (PSAD), peripheral zone volume ratio (PZ-ratio), and adjusted PSAD of PZ (aPSADPZ) were calculated and subjected to receiver operating characteristic (ROC) curve analysis.
9p
vileonardodavinci
23-12-2023
2
2
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Although determining the recurrence of cutaneous squamous cell carcinoma (cSCC) is important, currently suggested systems and single biomarkers have limited power for predicting recurrence. In this study, combinations of clinical factors and biomarkers were adapted into a nomogram to construct a powerful risk prediction model.
9p
vileonardodavinci
23-12-2023
4
3
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This study investigated site-specific differences in clinical factors for recurrence in patients who were newly diagnosed and treated for endometrial cancer. A model for predicting recurrence sites was generated.
8p
vileonardodavinci
23-12-2023
3
3
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Bilateral breast cancer (BBC), as well as ovarian cancer, are significantly associated with germline deleterious variants in BRCA1/2, while BRCA1/2 germline deleterious variants carriers can exquisitely benefit from poly (ADP-ribose) polymerase (PARP) inhibitors. However, formal genetic testing could not be carried out for all patients due to extensive use of healthcare resources, which in turn results in high medical costs.
11p
vileonardodavinci
23-12-2023
10
4
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To develop a clinical model for predicting high axillary nodal burden in patients with early breast cancer by integrating ultrasound (US) and clinicopathological features. Our model based on US variables and clinicopathological characteristics demonstrates that can help select patients with≥3 LNs, which can in turn be helpful to predict high axillary nodal burden in early breast cancer patients and prevent unnecessary axillary lymph node dissection.
13p
vileonardodavinci
23-12-2023
9
5
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The aim of this study was to establish and validate a clinical prediction model for assessing the risk of metastasis and patient survival in Ewing’s sarcoma (ES). Patients diagnosed with ES from the Surveillance, Epidemiology and End Results (SEER) database for the period 2010-2016 were extracted, and the data after exclusion of vacant terms was used as the training set (n=767).
12p
vialfrednobel
23-12-2023
6
3
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Automated breast ultrasound (ABUS) is a useful choice in breast disease diagnosis. The axillary lymph node (ALN) status is crucial for predicting the clinical classifcation and deciding on the treatment of early-stage breast cancer (EBC) and could be the primary indicator of locoregional recurrence. We aimed to establish a prediction model using ABUS features of primary breast cancer to predict ALN status.
11p
vialfrednobel
23-12-2023
6
4
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