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ShareScore release 0.9.0
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71 results for “nomogram”
Evaluation of the Accuracy & Safety of the LaserArcs Nomogram
ClinicalTrials.gov study NCT05278442. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Development and validation of a genomic nomogram based on a ceRNA network for comprehensive analysis of obstructive sleep apnea
GEO Series GSE226379. Homo sapiens. 9 samples. Type: Non-coding RNA profiling by array.
A Volumetric Nomogram for Height, Weight, and Intra Abdominal Volume
ClinicalTrials.gov study NCT04515485. IPD Sharing: NO. Countries: 0. Publications: 0.
Fetal Nasal Bone Length Nomogram at 11-13wk+6days in Upper Egyptian Pregnant Women
ClinicalTrials.gov study NCT04798170. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A Nomogram for Evaluating Significant Liver Fibrosis in Patients With Chronic Hepatitis B Virus Infection
ClinicalTrials.gov study NCT05560503. IPD Sharing: YES. Countries: 0. Publications: 0.
A Nomogram for Predicting the Diagnosis of Central Malignant Tumors Based on Preoperative Clinical Characteristics and Laboratory Indicators:
ClinicalTrials.gov study NCT06914700. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Computed Tomography Radiomics-Derived Nomogram for Predicting Early Renal Function Decline After Partial Nephrectomy in Renal Cell Carcinoma: A Multicenter Development/Validation Study
ClinicalTrials.gov study NCT07117786. IPD Sharing: NO. Countries: 0. Publications: 0.
A Predictive Nomogram for Trismus After Radiotherapy for Head and Neck Cancer
ClinicalTrials.gov study NCT05777668. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
A Simplified Approach to Predicting the Malignancy of Breast Lesions: Nomogram in Ultrasonography
ClinicalTrials.gov study NCT06185855. IPD Sharing: NO. Countries: 0. Publications: 0.
Dataset related to article "External Validation and Comparison of Two Nomograms Predicting the Probability of Lymph Node Involvement in Patients subjected to Robot-Assisted Radical Prostatectomy and Concomitant Lymph Node Dissection: A Single Tertiary Center Experience in the MRI-Era "
<p>This record contains raw data related to article “External Validation and Comparison of Two Nomograms Predicting the Probability of Lymph Node Involvement in Patients subjected to Robot-Assisted Radical Prostatectomy and Concomitant Lymph Node Dissection: A Single Tertiary Center Experience in the MRI-Era"</p> <p>Abstract</p> <p><strong>Introduction: </strong> To externally validate and directly compare the performance of the Briganti 2012 and Briganti 2019 nomograms as predictors of lymph node invasion (LNI) in a cohort of patients treated with robot-assisted radical prostatectomy (RARP) and extended pelvic lymph node dissection (ePLND).</p> <p><strong>Materials and methods: </strong> After the exclusion of patients with incomplete biopsy, imaging, or clinical data, 752 patients who underwent RARP and ePLND between December 2014 to August 2021 at our center, were included. Among these patients, 327 (43.5%) had undergone multi-parametric MRI (mpMRI) and mpMRI-targeted biopsy. The preoperative risk of LNI was calculated for all patients using the Briganti 2012 nomogram, while the Briganti 2019 nomogram was used only in patients who had performed mpMRI with the combination of targeted and systematic biopsy. The performances of Briganti 2012 and 2019 models were evaluated using the area under the receiver-operating characteristics curve analysis, calibrations plot, and decision curve analysis.</p> <p><strong>Results: </strong> A median of 13 (IQR 9-18) nodes per patient was removed, and 78 (10.4%) patients had LNI at final pathology. The area under the curves (AUCs) for Briganti 2012 and 2019 were 0.84 and 0.82, respectively. The calibration plots showed a good correlation between the predicted probabilities and the observed proportion of LNI for both models, with a slight tendency to underestimation. The decision curve analysis (DCA) of the two models was similar, with a slightly higher net benefit for Briganti 2012 nomogram. In patients receiving both systematic- and targeted-biopsy, the Briganti 2012 accuracy was 0.85, and no significant difference was found between the AUCs of 2012 and 2019 nomograms (<em>p</em> = 0.296). In the sub-cohort of 518 (68.9%) intermediate-risk PCa patients, the Briganti 2012 nomogram outperforms the 2019 model in terms of accuracy (0.82 vs. 0.77), calibration curve, and net benefit at DCA.</p> <p><strong>Conclusion: </strong> The direct comparison of the two nomograms showed that the most updated nomogram, which included MRI and MRI-targeted biopsy data, was not significantly more accurate than the 2012 model in the prediction of LNI, suggesting a negligible role of mpMRI in the current population.</p>
Comprehensive Analysis of a Competing Endogenous RNA Network Identifies Five-lncRNA Nomogram as a Prognostic Model for Cervical Cancer
GEO Series GSE218460. Homo sapiens. 14 samples. Type: Expression profiling by array.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.