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European journal of cancer (1990), ISSN 0959-8049, 07/2019, Volume 116, pp. 190 - 198
Prognostic factor | Brain tumour | Health-related quality of life (HRQoL) | Glioma | Survival | EORTC | PHASE-III | PREDICTING SURVIVAL | VALIDATION | SYMPTOMS | COGNITIVE FUNCTION | BRAIN-TUMOR | GLIOBLASTOMA | CANCER-PATIENTS | CLINICAL-TRIALS | Life Sciences & Biomedicine | Oncology | Science & Technology | Gliomas | Patient outcomes | Analysis | Appetite | Decision making | Health services | Cognitive ability | Clinical trials | Nausea | Regression analysis | Patients | Quality of life | Regression models | Randomization | Vomiting | Medical prognosis | Added value | Tumors | Index Medicus
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ANZ journal of surgery, ISSN 1445-1433, 01/2019, Volume 89, Issue 1-2, pp. E20 - E25
overall survival | nomogram | predicting model | disease‐free survival | HCC with PVTT | disease-free survival | Life Sciences & Biomedicine | Surgery | Science & Technology | Carcinoma, Hepatocellular - mortality | Reproducibility of Results | Hepatectomy - methods | Prognosis | Survival Rate - trends | Follow-Up Studies | Humans | Middle Aged | Venous Thrombosis - mortality | Liver Neoplasms - complications | Carcinoma, Hepatocellular - surgery | Liver Neoplasms - surgery | Male | China - epidemiology | Liver Neoplasms - mortality | Portal Vein | Venous Thrombosis - etiology | Carcinoma, Hepatocellular - complications | Thrombectomy - methods | Nomograms | Female | Retrospective Studies | Venous Thrombosis - surgery | Hepatitis B surface antigen | Liver | Hepatocellular carcinoma | Hazards | Calibration | Regression analysis | Multivariate analysis | Patients | Survival | Thrombosis | Blood clots | Training | Hepatitis | Liver cancer | Discrimination | Veins | Predictions | Portal vein | Hepatitis B virus | Cancer | Tumors | Nomographs | Index Medicus
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Quality of life research, ISSN 0962-9343, 3/2014, Volume 23, Issue 2, pp. 629 - 639
Emotional distress | Body image | Mortality | Questionnaires | P values | Death | Fatigue | Breast cancer | Quality of life | Cancer | Public Health | Medicine & Public Health | Survivors | Quality of Life Research | Predicting factors | Sociology, general | Overall survival | Incidence | Health Care Sciences & Services | Public, Environmental & Occupational Health | Health Policy & Services | Life Sciences & Biomedicine | Science & Technology | Breast Neoplasms - surgery | Prognosis | Prospective Studies | Humans | Middle Aged | Breast Neoplasms - psychology | Survival Analysis | Breast Neoplasms - mortality | Female | Surveys and Questionnaires | Quality of Life - psychology | Cohort Studies | Care and treatment | Patient outcomes | Analysis | Drug therapy | Survival analysis | Survivor | Index Medicus
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Anticancer research, ISSN 0250-7005, 05/2018, Volume 38, Issue 5, pp. 3097 - 3103
Genitourinary cancer | Prognostic factor | Predicting survival | Bone metastasis | Scoring system | Life Sciences & Biomedicine | Oncology | Science & Technology | Risk | Metastasis | Multivariate analysis | Patients | Survival | Metastases | Bone cancer | Medical prognosis | Kidney cancer | Predictions | Urothelial carcinoma | Prostate cancer | Prostate | Clear cell-type renal cell carcinoma | Cancer | Index Medicus
Journal Article
IOP Conference Series: Materials Science and Engineering, ISSN 1757-8981, 11/2017, Volume 273, Issue 1
Conference Proceeding
Neuro-oncology (Charlottesville, Va.), ISSN 1522-8517, 03/2017, Volume 19, Issue 3, pp. 430 - 439
H MR spectroscopic imaging | Metabolic parameters | Newly diagnosed GBM | Survival | Predicting outcome | Choline - metabolism | Prognosis | Follow-Up Studies | Humans | Middle Aged | Brain Neoplasms - pathology | Magnetic Resonance Imaging - methods | Male | Brain Neoplasms - metabolism | Indoles - administration & dosage | Neoplasm Grading | Creatine - metabolism | Dacarbazine - analogs & derivatives | Aged, 80 and over | Adult | Female | Glioblastoma - metabolism | Brain Neoplasms - mortality | Dacarbazine - administration & dosage | Magnetic Resonance Spectroscopy - methods | Survival Rate | Combined Modality Therapy | Image Processing, Computer-Assisted - methods | Tumor Burden | Glioblastoma - therapy | Antineoplastic Combined Chemotherapy Protocols - therapeutic use | Glioblastoma - pathology | Brain Neoplasms - therapy | Radiotherapy, Conformal | Aged | Glioblastoma - mortality | Cohort Studies | Index Medicus | treatment | Clinical Investigations | metabolic parameters | newly diagnosed GBM | survival | predicting outcome | 1H MR spectroscopic imaging
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Hepatobiliary surgery and nutrition, ISSN 2304-3881, 10/2019, Volume 8, Issue 5, pp. 480 - 489
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Cancer management and research, ISSN 1179-1322, 01/2019, Volume 11, pp. 10157 - 10165
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EBioMedicine, ISSN 2352-3964, 06/2018, Volume 32, pp. 134 - 141
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Transplantation, ISSN 0041-1337, 11/2008, Volume 86, Issue 10, pp. 1401 - 1406
Predicting graft survival | Prognostic models | Nomogram | Artificial neural networks | Kidney transplantation | Transplantation | Immunology | Life Sciences & Biomedicine | Surgery | Science & Technology | Predictive Value of Tests | Reproducibility of Results | Age Factors | Histocompatibility Testing | Humans | Living Donors | Models, Statistical | Patient Selection | Kidney Transplantation - physiology | Algorithms | Nerve Net | Nomograms | Graft Survival - physiology | Family | Retrospective Studies | Index Medicus
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Cancer management and research, ISSN 1179-1322, 2018, Volume 10, pp. 3199 - 3205
Carcinoembryonic antigen | Predicting | Small cell lung cancer | Brain metastases | Survival | Life Sciences & Biomedicine | Oncology | Science & Technology | Care and treatment | Chemotherapy | Usage | Lung cancer, Small cell | Research | CEA (Oncology) | Cancer | Antigens | Nuclear magnetic resonance--NMR | Medical imaging | Lung cancer | Metastasis | Radiation therapy | Patients | Cancer therapies | Studies | Ethics | Brain research | Medical prognosis | Response rates | Biomarkers | carcinoembryonic antigen | small cell lung cancer | brain metastases | predicting | survival
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Journal of bone oncology, ISSN 2212-1374, 02/2021, Volume 26, p. 100344
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Clinical laboratory (Heidelberg), ISSN 1433-6510, 2011, Volume 57, Issue 7-8, pp. 587 - 597
Positive prediction value (PPV) | GCS | Model predicting | Biomarkers | GOS | Traumatic Brain Injury (TBI) | S100B | Negative prediction value (NPV) | Life Sciences & Biomedicine | Medical Laboratory Technology | Science & Technology | Predictive Value of Tests | Prognosis | Prospective Studies | Humans | Middle Aged | Brain Injuries - complications | Intensive Care Units - statistics & numerical data | Male | Brain Injuries - mortality | Multiple Trauma - blood | Young Adult | S100 Proteins - blood | Sensitivity and Specificity | Aged, 80 and over | Adult | Brain Injuries - blood | Female | Nerve Growth Factors - blood | Length of Stay - statistics & numerical data | Models, Theoretical | S100 Calcium Binding Protein beta Subunit | Amnesia - etiology | Coma - blood | Amnesia - blood | Survival | Disease Progression | Radiography | Brain Injuries - diagnostic imaging | Adolescent | Aged | Coma - etiology
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Urologic oncology, ISSN 1078-1439, 2013, Volume 31, Issue 7, pp. 1283 - 1291
Urology | Metastatic renal cell carcinoma | Predicting outcome | Response evaluation | Oncology | Life Sciences & Biomedicine | Urology & Nephrology | Science & Technology | Niacinamide - analogs & derivatives | Outcome Assessment (Health Care) - methods | Risk Assessment - methods | Prognosis | Humans | Middle Aged | Tomography, X-Ray Computed - methods | Male | Antineoplastic Agents - therapeutic use | Kidney Neoplasms - metabolism | Vascular Endothelial Growth Factor A - metabolism | Vascular Endothelial Growth Factor A - antagonists & inhibitors | Neoplasm Metastasis | Receptors, Vascular Endothelial Growth Factor - metabolism | Receptors, Vascular Endothelial Growth Factor - antagonists & inhibitors | Adult | Female | Retrospective Studies | Carcinoma, Renal Cell - drug therapy | Pyrroles - therapeutic use | Molecular Targeted Therapy - methods | Carcinoma, Renal Cell - pathology | Risk Factors | Kaplan-Meier Estimate | Niacinamide - therapeutic use | Phenylurea Compounds - therapeutic use | Carcinoma, Renal Cell - metabolism | Disease-Free Survival | Indoles - therapeutic use | Kidney Neoplasms - pathology | Aged | Kidney Neoplasms - drug therapy | Medical research | CT imaging | Patient outcomes | Medicine, Experimental | Development and progression | Carcinoma, Renal cell | Metastasis | Vascular endothelial growth factor | Index Medicus
Journal Article
Journal of the American College of Cardiology, ISSN 0735-1097, 2015, Volume 66, Issue 19, pp. 2059 - 2071
Cardiovascular | Internal Medicine | prognostic model | angiotensin receptor neprilysin inhibitor | risk score | survival | Cardiac & Cardiovascular Systems | Life Sciences & Biomedicine | Cardiovascular System & Cardiology | Science & Technology | Heart failure | Sects | Medical colleges | Enalapril | Mortality | Enalaprilat | Risk factors | Heart attacks | Hospitalization | Cardiology | Acute coronary syndromes | Morbidity | heart-failure | impact | Klinisk medicin | predicting survival | trial | Clinical Medicine | neprilysin inhibition | mortality | morbidity
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