Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Establishment and validation of risk assessment model for poor bowel cleansing in Beijing

ABSTRACT: Interventions: Gold Standard:Clinical outcomes;Index test:Risk assessment model for poor bowel cleansing Primary outcome(s): Boston bowel preparation score;SEN, SPE, ACC, AUC of ROC, PV+, PV-;SEN, SPE, ACC, AUC of ROC, PV+, PV- Study Design: Sequential

DISEASE(S): Colorectal Neoplasia

PROVIDER: 2701008 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Json Xml

Similar Datasets

Study for biomarkers in predicting the efficacy of PD-1 monoclonal antibody in gastrointestinal cancer

Project description:Interventions: Gold Standard:Clinical outcome;Index test:multi-parameter combination model Primary outcome(s): SEN, SPE, ACC, AUC of ROC Study Design: Sequential

| 2689837 | ecrin-mdr-crc

A multicenter study of septin9 combined with fecal occult blood screening for colorectal cancer in Guangxi

Project description:Interventions: Gold Standard:Colonoscopy and histopathology;Index test:Septin9 combine with FIT Primary outcome(s): Septin9;SEN, SPE, ACC, AUC of ROC Study Design: Factorial

| 2698696 | ecrin-mdr-crc

Monitoring RAS Phenotypic Changes Based on ctDNA to Predict the Efficacy of Cetuximab in Metastatic Colorectal Cancer

Project description:Interventions: Gold Standard:Clinical outcome;Index test:RAS phenotypic changes in ctDNA Primary outcome(s): RAS gene phenotype;SEN, SPE, ACC, AUC of ROC Study Design: Sequential

| 2687923 | ecrin-mdr-crc

Excavation and clinical verification of early warning biomarkers for hand-foot syndrome induced by capecitabine

Project description:Interventions: Gold Standard:Clinical outcome;Index test:Study on endogenous biomarkers by targeted metabonomics Primary outcome(s): SEN, SPE, ACC, AUC of ROC, PPV, NPV Study Design: Sequential

| 2698756 | ecrin-mdr-crc

The diagnosis value of red blood cell distribution width in patients with colorectal cancer

Project description:Interventions: Gold Standard:Pathological examination;Index test:red blood cell distribution width Primary outcome(s): Red blood cell distribution width;SEN, SPE, ACC, AUC of ROC Study Design: Factorial

| 2692299 | ecrin-mdr-crc

The effect of 3D imaging device on the detection rate of adenoma in colonoscopy

Project description:Interventions: Gold Standard:Pathological examination;Index test:1. 3D imaging device colonoscopy; 2. 2D imaging device colonoscopy. Primary outcome(s): Adenoma detection rate;SEN, SPE, ACC, AUC of ROC Study Design: Sequential

| 2684296 | ecrin-mdr-crc

The application of new EVs markers in accurate diagnosis and treatment of colorectal cancer based on digital PCR technology

Project description:Interventions: Gold Standard:Colonoscopy and tissue case biopsy;Index test:EVs nucleic acid combination (miRNA, lncRNA, circRNA) detection system. Primary outcome(s): RNA;SEN, SPE, ACC, AUC of ROC Study Design: Factorial

| 2696021 | ecrin-mdr-crc

Development and validation intelligence assessment models for intestinal motility recovery after colorectal cancer surgery

Project description:Interventions: Gold Standard:Clinical outcome;Index test:Models for intestinal motility recovery after colorectal cancer surgery. Primary outcome(s): defecation;fart;Time of hospital stay;hospitalization costs;complications;SEN, SPE, ACC, AUC of ROC Study Design: Sequential

| 2698941 | ecrin-mdr-crc

Construction of colorectal cancer genomics artificial intelligence system basing on deep learning model

Project description:Interventions: Gold Standard:Pathological diagnosis;Index test:Construction of colorectal cancer genomics artificial intelligence system basing on deep learning model Primary outcome(s): Gene expression;SEN, SPE, ACC, AUC of ROC Study Design: Factorial

| 2694323 | ecrin-mdr-crc

Construction of an accurate treatment system for colorectal cancer basing on omics research of intestinal microecosystem

Project description:Interventions: Gold Standard:Pathological diagnosis;Index test:Construct colorectal cancer virus omics artificial intelligence system basing on deep learning model Primary outcome(s): Intestinal flora;SEN, SPE, ACC, AUC of ROC Study Design: Factorial

| 2694487 | ecrin-mdr-crc

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data