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This document provides supplementary tables from a research study on biomarkers used to predict postoperative outcomes in colorectal cancer, including search strings, biomarker categories, and exclusions from studies.
Year:
2023
Region / city:
Global
Subject:
Postoperative biomarkers, colorectal cancer
Document Type:
Research data
Institution:
Various research institutions
Author:
Multiple authors
Target Audience:
Researchers, medical professionals
Effective Period:
N/A
Approval Date:
24.02.2023
Revision Date:
N/A
Note:
Contextual description
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2025
Region / City:
N/A
Subject:
Molecular MRI Biomarkers, Research Funding
Document Type:
Application Instructions and Checklist
Institution:
N/A
Author:
N/A
Target Audience:
Principal Investigators, Researchers in the field of Molecular MRI
Effective Period:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Year:
2026
Region / city:
Not specified
Theme:
Pediatrics, Biomarkers
Document type:
Research Table
Institution:
Not specified
Author:
Not specified
Target audience:
Medical professionals, researchers
Period of validity:
Not specified
Approval date:
Not specified
Date of amendments:
Not specified
Version:
GastricHER2Biomarkers 1.0.0.1
Protocol Posting Date:
June 2017
Year:
2017
Region / city:
United States
Topic:
HER2 biomarker testing, gastric cancer, gastroesophageal junction
Document type:
Guideline
Organization / institution:
College of American Pathologists, American Society for Clinical Pathology, American Society of Clinical Oncology
Author:
Angela N. Bartley, MD; Jessi Christ, CTR; Patrick Fitzgibbons, MD; Stanley R. Hamilton, MD; Sanjay Kakar, MD; Manish A. Shah, MD; Laura H. Tang, MD, PhD; Megan L. Troxell MD, PhD
Target audience:
Pathologists, oncologists, clinical laboratories
Period of validity:
Indefinite
Date of approval:
June 2017
Date of changes:
N/A
Year:
2020
Region / Institution:
University College London
Programme:
DPUK Work Package 5
Related Work Packages:
WP3 (UK Biobank), WP4 (1946 birth cohort), WP6
Thematic Area:
Neurodegenerative diseases and biomarkers
Diseases Covered:
Familial Alzheimer’s disease, Familial frontotemporal dementia, Huntington’s disease, Familial Parkinson’s disease (LRRK2)
Cohorts:
UCL FAD, DIAN, GENFI, Track HD, LRRK2 cohort
Type of Document:
Research programme summary and output report
Organ / Institution:
University College London
Collaborating Initiatives:
DIAN, GENFI, Track HD, UK Biobank
Main Biomarkers Studied:
Serum neurofilament light (NfL), plasma phospho-tau181, cortical mean diffusivity, PET imaging markers
Study Population:
Individuals with autosomal dominant inherited neurodegenerative diseases and non-mutation carrier siblings
Research Focus:
Presymptomatic to symptomatic disease progression and biomarker validation
Outputs:
Peer-reviewed publications and longitudinal cohort analyses
Version:
1.1.0.0
Protocol Posting Date:
March 2023
Year:
2023
Region / City:
Not specified
Topic:
Gynecologic cancer biomarker testing
Document Type:
Protocol
Organization / Institution:
Not specified
Author:
Barbara A. Crothers, DO; Lara R. Harik, MD, FCAP; Angela N. Bartley, MD, PhD, FCAP; Russell R. Broaddus, MD, PhD, FCAP; Linus T. Chuang, MD; Michael B. Cohen, MD; Patricia Salter Jamieson, CTR; Elke A. Jarboe, MD; Teri A. Longacre, MD; George L. Mutter, MD; Christopher N. Otis, MD; Patrick L. Fitzgibbons, MD, FCAP; Richard Zaino, MD; Gulisa Turashvili, MD, PhD; Krisztina Hanley, MD.
Target Audience:
Laboratories performing biomarker testing
Effective Period:
Not specified
Approval Date:
March 2023
Date of Changes:
Version 1.1.0.0
Version History:
Updated to include "COMMENT" section and revised notes
Year:
2026
Region / City:
Global
Topic:
Biomarkers, Diagnostics, Statistical Methods
Document Type:
Workshop Program
Organization:
PharmaLex, Biogen, Eli Lilly, Takeda, AstraZeneca
Authors:
Erin Wagner, Jake Gagnon, Hui-Rong Qian, Shuguang Huang, Brad Carlin, Helen You, Larry Gould, Zhe Sun, Bruno Boulanger, Ixavier Alonzo Higgins, Hoang Tran, Adarsh Joshi, Steven Novick
Target Audience:
Researchers, Biopharma Professionals, Data Scientists
Period of Action:
2026
Approval Date:
2026
Date of Changes:
N/A
Year:
2013-2018
Region / City:
Global
Subject Area:
Renal disease biomarkers
Document Type:
Research supplement
Author:
Multiple authors (Lee, Nowak, Nadkarni, etc.)
Target Audience:
Researchers, healthcare professionals in nephrology and diabetes
Period of Action:
2013-2018
Approval Date:
N/A
Date of Changes:
N/A
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:
2022
Region / city:
New South Wales, Australia
Topic:
Sudden Infant Death Syndrome (SIDS)
Document type:
Commentary
Author:
Emma Matthews
Target audience:
Healthcare professionals, researchers in pediatric neurology, and SIDS
Period of validity:
N/A
Approval date:
N/A
Date of changes:
N/A
Keywords:
Sudden Unexpected Death in Infancy, Butyrylcholinesterase, Biomarkers, Sudden Infant Death Syndrome, Research
Contextual description:
Commentary on a study linking butyrylcholinesterase activity levels with Sudden Infant Death Syndrome, suggesting a potential predictive biomarker for SIDS.
Document type:
Supplementary scientific material
Section:
Supplement 9
Scientific field:
Microbiome research
Research area:
Gynecologic pathology
Methodology:
Random forest classifier models
Analytical approach:
Microbiome signature identification
Validation method:
Receiver operating characteristic curves
Cohorts analyzed:
Cohort A; Cohort C
Histological comparisons:
Serous histology vs benign; Endometrioid histology vs benign
Subject:
Biomarker discovery based on histological classification
Journal:
Journal of Applied Life Sciences International
Manuscript Number:
Ms_JALSI_151529
Article Title:
Dietary Bioactives as Genomic Regulators: A Critical Review of Gene Control, Biomarker Validation, and Translational Barriers in Nutrigenomics
Article Type:
Review Article
Document Type:
Peer Review Report
Reviewer:
Sumon Rahman Chowdhury
Reviewer Affiliation:
Chittagong Diabetic General Hospital
Country:
Bangladesh
Subject Area:
Nutrigenomics; Nutrigenetics; Epigenetics; Precision Nutrition
Key Scientific Topics:
Gene regulation by dietary bioactives, biomarkers, molecular mechanisms, obesity-related genes, translational barriers
Genes and Pathways Mentioned:
NRF2, NF-κB, FFAR1, FTO, GLUT4, PPARγ, leptin
Methodological Note:
Recommendation to describe methodology as “a narrative critical review using structured literature search”
Ethical Issues Statement:
No ethical issues reported
Purpose of Document:
Evaluation and revision recommendations for a submitted scientific manuscript
Year:
2016
Region / City:
Cyprus
Subject:
Employment, Disability, Occupational Status, Unemployment
Document Type:
Research Paper
Organization:
American College, Nicosia
Author:
Andreas Petasis
Target Audience:
Researchers, policymakers, disability advocates
Period of Validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2012
Region / City:
Not specified
Field:
Nursing, Healthcare
Document Type:
Research Article
Organization / Institution:
Journal of Nurses in Staff Development
Author:
Bratt & Felzer
Target Audience:
Healthcare professionals, researchers
Period of Action:
2005-2008
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2014-2016
Region / City:
Pune
Topic:
Acute Flaccid Paralysis, Clinical outcomes, Pediatrics
Document Type:
Research Study
Institution / Organization:
B.J. Medical College and Sassoon General Hospital
Author:
Dr. Anagha Kulkarni, Dr. Ninad Patil, Dr. Rajesh Kulkarni, Dr. Harshali Vankar, Dr. Rahul Dawre, Dr. Uday Rajput, Dr. Aarti Kinikar
Target Audience:
Healthcare professionals, Pediatricians, Neurologists
Period of Validity:
Not Applicable
Approval Date:
Not Specified
Date of Changes:
Not Specified
Year:
2008-2009
Region / Institution:
United States, specific college
Topic:
Statistics, Multiple Regression, Categorical Variables
Document Type:
Educational Activity / Lesson
Author:
Not specified
Target Audience:
Students in statistics or data analysis courses
Dataset:
Salaries dataset from R car package
Variables Covered:
rank, discipline, yrs.since.phd, yrs.service, sex, salary
Methodology:
Use of indicator (dummy) variables in regression
Examples Included:
Binary categorical predictor, multiple category predictor
Practical Exercises:
Regression modeling and interpretation exercises
Software / Tools:
R programming language, ggplot2, car package
Note:
Year
Contextual description:
A collection of linear regression models analyzing the relationship between CogState tasks and various SRC symptoms, including somatic, cognitive, emotional, and sleep-related symptoms, based on data collected 24 hours and one week post-injury.
Field of study:
Epidemiology
Research topic:
Statistical modeling of factors associated with Shigella presence
Type of document:
Statistical results table
Analytical method:
Model selection using Akaike Information Criterion (AIC and AICc)
Statistical models evaluated:
48
Response variable:
Shigella
Predictor variables:
Dominance Rank, Dominance Certainty, Grooming network metrics, Huddle network metrics, Aggression network metrics
Model statistics reported:
AIC, AICc, ΔAICc, model weight, degrees of freedom, regression coefficients, adjusted standard errors, p-values
Significance threshold:
p < 0.05
Network measures included:
Outdegree, Indegree, Betweenness, Eigenvector, Outstrength, Instrength
Behavioral variables:
Grooming, Huddling, Aggression
Abbreviations defined:
DR, DC, GO, GI, GB, GE, HD, HB, HE, ADO, ADI, ASO, ASI
Year:
2023
Region / City:
United Kingdom, Iceland, Portugal, Spain, The Netherlands, Italy, Sweden
Topic:
Renal Cell Carcinoma, Surgical Follow-Up
Document Type:
Research Study
Organization / Institution:
Royal Free London NHS Foundation Trust, University of Rennes, University College London, University of Bergen, University Medical Center Utrecht, University of Cambridge, Queen Mary University of London, Umeå University
Author:
Neves JB, Vanaclocha Saiz L, Abu-Ghanem Y, Marchetti M, Tran-Dang MA, El-Sheikh S, Barod R, Beisland C, Capitanio U, Cullen D, Klatte T, Ljungberg B, Mumtaz F, Patki P, Stewart GD, Dabestani S, Tran MGB, Bex A
Target Audience:
Medical professionals, Researchers in oncology, Urologists
Period of Action:
2015-2019
Approval Date:
2023
Modification Date:
N/A
Year:
2026
Region / city:
International multicenter
Topic:
Cardiology, Hematology
Document type:
Supplementary tables and figures
Institution:
GARFIELD-AF and ORBIT-AF study groups
Authors:
Multi-center registry investigators
Target audience:
Clinicians, researchers
Study period:
2 years follow-up
Data collection:
Patient registries
Patient population:
Adults with atrial fibrillation receiving oral anticoagulants
Measured outcomes:
Incidence of intracranial hemorrhage, baseline characteristics, treatment type, comorbidities, vital signs
Data analysis:
Risk factor association with intracranial hemorrhage
Treatment types:
NOAC, VKA, concomitant antiplatelet therapy
Year:
2026
Region:
Global
Topic:
Ecological modeling / Species distribution
Document type:
Supplementary table
Source institution:
Research study
Authors:
Not specified
Target audience:
Ecologists, conservation scientists, statisticians
Methodology:
Hierarchical partitioning of variance
Species analyzed:
AMOY, BACS, DT, EDR, EIS, PABU, RCWO, SESP, WIPL, WOST
Predictors included:
Land cover, elevation, vegetation height, fire, water, urbanization, canopy, precipitation, topographic indices