№ files_lp_4_process_2_73119
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The document is a research article examining the prognostic value of desmoplastic growth patterns in resected hepatocellular carcinoma, focusing on the association between specific histopathological patterns and long-term survival.
Year:
2022
Region / City:
Oulu, Vaasa, Jyväskylä, Finland; Solna, Sweden
Topic:
Hepatocellular carcinoma, Prognostic markers
Document type:
Research Article
Institution:
Oulu University Hospital, Karolinska Institutet
Authors:
Niklas Sarelin, Valtteri Kairaluoma, Juha Saarnio, Joonas H. Kauppila, Jan Böhm, Heikki Huhta, Juha P. Väyrynen, Olli Helminen
Target audience:
Medical researchers, oncologists, pathologists
Period of validity:
N/A
Approval date:
2022
Modification date:
N/A
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2012
Region / City:
Europe / Vienna
Theme:
Lung Cancer, Oncology
Document Type:
Survey
Organization / Institution:
European Society for Medical Oncology (ESMO)
Author:
Dr. Raffaele Califano
Target Audience:
Medical Oncologists, Radiation Oncologists
Period of Action:
Deadline end of February 2012
Approval Date:
N/A
Date of Changes:
N/A
Year:
2026
Region / City:
Not specified
Topic:
Cancer research
Document type:
Supplementary Materials
Institution:
Not specified
Authors:
Jianzhen Lin, Bo Hu, Yang Shi, Jiaqian Wang, Xu Yang, Weikang Hu, Xiaobo Yang, Xin Lu, Xinting Sang, Zhibo Gao, Ruibin Xi, Haitao Zhao
Target audience:
Medical researchers, Oncologists
Period of validity:
Not specified
Approval date:
Not specified
Date of amendments:
Not specified
Note:
Contextual description
Year:
2011
Region / city:
Italy, Norway
Subject:
Cardiovascular diseases, Aortic stenosis
Document type:
Original article
Author:
Giovanni Cioffi, Pompilio Faggiano, Enrico Vizzardi, Luigi Tarantini, Dana Cramariuc, Eva Gerdts, Giovanni de Simone
Target audience:
Healthcare professionals, researchers in cardiology
Period of validity:
N/A
Date of approval:
15 June 2010
Date of changes:
N/A
Document type:
Supplementary online content
Related study:
Personalized Prognostic Prediction of Treatment Outcome for Depressed Patients in a Naturalistic Psychiatric Hospital Setting: A Comparison of Machine Learning Approaches
Setting:
Naturalistic psychiatric hospital setting
Treatment providers:
Psychologists, postdoctoral fellows, clinical psychology interns, psychology practicum students, mental health counselors
Treatment format:
Group treatment
Adherence assessment:
Bi-annual fidelity assessments via live observation and checklists
Adherence rates:
89%–95%
Population:
Depressed patients, including individuals with MDD and comorbid diagnoses
Predictor variables:
Clinical measures, demographic characteristics, MDD history, comorbid diagnoses, treatment history, psychiatric medication use, physical health variables
Outcome measures:
PHQ-9, GAD-7
Statistical methods:
Random Forest imputation (missForest in R), Elastic Net Regression, Lasso, Ridge, Random Forest, Support Vector Machines, Bayesian additive trees, Super Learner, adaptive splines
Validation approach:
10-fold cross-validation and hold-out sample testing
Performance metrics:
Mean Absolute Error (MAE), Mean Squared Error (MSE), R2, squared correlation (r2) with 95% confidence intervals
Year:
2023
Region / City:
Southampton, UK
Topic:
Oesophago-gastric cancer, neoadjuvant therapy, cardiopulmonary exercise testing
Document Type:
Research Article
Institution:
University of Southampton, Southampton NIHR Biomedical Research Centre
Author:
Malcolm A West, William CA Baker, Saqib Rahman, Alicia Munro, Sandy Jack, Michael PW Grocott, Timothy J Underwood, Denny ZH Levett
Target Audience:
Medical professionals, oncologists, researchers
Period of Effectiveness:
Not specified
Approval Date:
Not specified
Date of Modifications:
Not specified
Year:
2026
Region / City:
Not specified
Topic:
Colorectal cancer, miRNA, HOXB7, GALNT5, Cancer cell migration
Document type:
Research Supplementary Materials
Organization/Institution:
Not specified
Author:
Not specified
Target audience:
Researchers, medical professionals
Effective period:
Not specified
Approval date:
Not specified
Date of modification:
Not specified
Contextual description:
Supplementary materials detailing experimental methods and procedures used to study the role of miR-196b-5p in cancer cell migration and its potential as a prognostic factor in colorectal cancer.
Year:
Not specified
Database:
International Cancer Genome Consortium (ICGC)
Disease:
Advanced renal cell carcinoma (RCC)
Document type:
Supplementary table
Content:
Risk score values and corresponding risk group classification
Model:
Prognostic risk model based on gene combination
Sample identifiers:
DO46827–DO47231
Risk groups:
Low risk; High risk
Number of samples:
100
Running title:
Biomarker ratios for personalized therapeutic decisions
Authors:
Dejana Bajić; Nemanja Todorović; Mladena Lalić Popović; Ljiljana Andrijević
Affiliation:
Department of Biochemistry, Faculty of Medicine, University of Novi Sad; Department of Pharmacy, Faculty of Medicine, University of Novi Sad
Institution:
Institute for Pulmonary Diseases of Vojvodina, Clinic for Intensive Medicine and Vascular Pulmonary Diseases, Department for Intensive Care and Intoxications Level 3
Country:
Serbia
Corresponding author:
Dejana Bajić, MD, PhD
ORCID IDs:
0000-0002-7958-068X; 0000-0002-1519-5643; 0000-0001-8354-3868; 0000-003-0676-7985
Study design:
Retrospective observational clinical study
Study period:
November 2020 – February 2022
Sample size:
133 ICU patients with COVID-19-related sepsis
Primary endpoint:
28-day mortality
Biomarkers analyzed:
Neutrophil-to-lymphocyte ratio (NLR); Fibrinogen-to-albumin ratio (FAR); C-reactive protein-to-albumin ratio (CAR)
Statistical methods:
ROC curve analysis; logistic regression
Ethical approval:
Ethics Committee of the Institute for Pulmonary Diseases of Vojvodina (Protocol Code No. 9-II/3, February 24, 2022); Ethics Committee of the Faculty of Medicine, University of Novi Sad (Protocol Code No. 01-39/190/1)
Conflicts of interest:
None declared
Funding:
No financial support received
Keywords:
biomarkers; COVID-19; inflammation; prognosis
Year:
2020
Region / city:
Worldwide
Topic:
Colorectal cancer, ctDNA
Document type:
Review article
Organization / institution:
Not specified
Author:
Not specified
Target audience:
Researchers, oncologists, medical professionals
Effective date:
Not specified
Date of changes:
Not specified
Year:
2018
Region / city:
Ghent, Kortrijk, Belgium
Topic:
Heart failure, geriatrics, prognostic factors
Document type:
Research article
Institution:
Ghent University Hospital, AZ Groeninge
Authors:
L. Kestens, S. Billet, L. Hens, A. Velghe, R. Piers
Target audience:
Cardiologists, geriatricians, medical researchers
Study period:
January 2018 – July 2018
Sample size:
147 patients aged ≥75 years
Outcome measure:
One-year mortality
Methodology:
Multicentre, observational, prospective cohort study
Key variables:
Systolic blood pressure at discharge, Charlson Comorbidity Index, functional status, geriatric risk profile
Cardiac classification:
HFrEF, HFpEF
Year:
2026
Database:
TCGA (The Cancer Genome Atlas)
Disease:
Renal cell carcinoma
Document type:
Supplementary table
Sample size:
120+
Parameters:
Overall survival, age, gender, stage, risk score, risk category
Risk model:
Gene combination prognostic model
Stage:
Stage III
Target group:
Patients with advanced RCC
Data format:
Tabular
Year:
2026
Region / City:
Not specified
Subject:
Chronic liver disease, hepatic fibrosis, prognostic biomarkers
Document Type:
Research article with supplementary figures and tables
Institution:
Not specified
Authors:
Akiko Eguchi, Motoh Iwasa, Ryosuke Sugimoto, Kyoko Yoshikawa, Naohiko Yoshizawa, Mina Tempaku, Davide Povero, Kazushi Sugimoto, Hiroshi Hasegawa, Yoshiyuki Takei, Hayato Nakagawa
Target Audience:
Medical researchers, hepatologists
Methods:
Cell viability assays, qPCR, immunoblotting, serum analysis
Model:
Rat and human liver samples
Key Molecules:
C1q, CTGF, TIMP-1, collagen-1a, FZD2, TAZ, Cyr61, α-SMA
Timeframe:
Chronic liver disease progression
Supplementary Data:
Figures and tables detailing gene and protein expression, serum correlations, and primers for qPCR
Primary Findings:
C1q-mediated activation of hepatic stellate cells correlates with CTGF levels and survival outcomes
Scientific Field:
Hepatology, molecular biology
Peer-reviewed:
Not specified
Dataset Availability:
Included in supplementary material
Research Type:
Experimental and translational study
Context:
Peer-reviewed biomedical research source reporting molecular and clinical correlations of hepatic fibrosis markers in chronic liver diseases
Year:
2026
Region:
International
Subject:
Pediatric acute lymphoblastic leukemia
Document type:
Supplemental digital content
Institution:
Multiple international cooperative study groups
Authors:
Østergaard, A et al.
Study groups:
BFM, IC BFM, ANZCHOG, DCOG, NOPHO, UKALL, MB, GBTLI, JACLS, CoALL
Datasets:
A, B, C
Methodology:
MRD-guided protocols and survival analysis
Outcome measures:
Event-free survival, relapse rate, overall survival
Context:
Dataset tables and Kaplan-Meier survival curves evaluating prognostic significance of IKZF1 deletions in childhood acute lymphoblastic leukemia across multiple study protocols
Year:
2023
Region / City:
N/A
Topic:
Neuroimaging, Neurodevelopmental Outcomes, Preterm Infants
Document Type:
Research Article
Institution:
N/A
Author:
N/A
Target Audience:
Researchers, Pediatric Neurologists, Neonatologists
Period of Validity:
N/A
Date of Approval:
N/A
Date of Modifications:
N/A
Year:
2025
Region / city:
Karaganda, Kazakhstan
Topic:
Medical research, endoscopic hemostasis
Document type:
Research article
Institution:
NCJSC "Medical University Karaganda"
Author:
Abatov N.T., Badyrov R.M., Rymtaeva M.S., Balgabekkyzy T.A., Zhaksylyk E.K.
Target audience:
Medical professionals, researchers, healthcare specialists
Period of validity:
N/A
Date of approval:
N/A
Date of changes:
N/A
Year:
2026
Region / City:
Not specified
Topic:
Cancer research
Document type:
Supplementary Materials
Institution:
Not specified
Authors:
Jianzhen Lin, Bo Hu, Yang Shi, Jiaqian Wang, Xu Yang, Weikang Hu, Xiaobo Yang, Xin Lu, Xinting Sang, Zhibo Gao, Ruibin Xi, Haitao Zhao
Target audience:
Medical researchers, Oncologists
Period of validity:
Not specified
Approval date:
Not specified
Date of amendments:
Not specified
Note:
Contextual description
Year:
2024
Region / city:
Barnaul, Russia
Theme:
Hepatocellular carcinoma prognosis, systemic immune-inflammation index, geriatric nutritional risk index
Document type:
Editorial
Organization / institution:
Altai State Medical University
Author:
Konstantin Y Tchilikidi
Target audience:
Medical professionals, researchers in hepatology, oncology, and surgery
Period of action:
Not specified
Approval date:
February 3, 2024
Date of changes:
Not specified