Neoplasms

All Conditions

Symptoms and General Pathology

Digestive System Diseases

Adenoma

Polyps

Colorectal Neoplasms

Intestinal Neoplasms

Gastrointestinal Neoplasms

Digestive System Neoplasms

Gastrointestinal Diseases

Colonic Diseases

Intestinal Diseases

Rectal Diseases

Neoplasms, Glandular and Epithelial

Neoplasms by Histologic Type

The prediction model is being used to identify patients who are at highest risk for colorectal cancer based on their risk scores.

Logistic regression model to assign risk score, plus time overdue and PROMPT risk category

Logistic regression risk model

Theodore R Levin, MD

This originated as an observational study of Kaiser Permanente Northern California (KPNC) patients with a history of adenoma diagnosed by colonoscopy who received a subsequent surveillance colonoscopy between 2014 and 2019. The original goal of the study was to develop a risk prediction model that would help identify patients at highest risk for a diagnosis of advanced neoplasia (colorectal cancer and/or advanced adenoma) at or within 6 months following their surveillance colonoscopy. Candidate predictors of interest included patient demographics, medical history, and details related to the index colonoscopy. The investigators are now at the implementation stage and applying the risk prediction model to patients awaiting surveillance colonoscopy at select KPNC service areas to help identify those at highest risk for colorectal cancer based on their risk scores.

In the implementation stage, the risk prediction model is being applied to patients who are awaiting surveillance colonoscopy at select KPNC service areas to help identify those at highest risk for colorectal cancer based on their risk scores. The prediction model is being used in 2-3 service area to identify about 60-80 patients per month who are at highest risk for colorectal cancer based on their risk scores. Risk scores represent one of a number of factors being considered for prioritizing patients for colonoscopy.

The risk prediction model is being applied to patients who are awaiting surveillance colonoscopy at select KPNC service areas to help identify those at highest risk for colorectal cancer based on their risk scores. The prediction model is being used in 2-3 service area to identify about 60-80 patients per month who are at highest risk for colorectal cancer based on their risk scores. Risk scores represent one of a number of factors being considered for prioritizing patients for colonoscopy.

Predicting Risk for Post-polypectomy Colorectal Cancer

The investigators anticipate observing changed rates of colorectal neoplasia per number of colonoscopies performed on account of prioritizing higher risk patients.

The Permanente Medical Group

Kaiser Permanente

Behaviors and Mental Disorders

Substance Related Disorders

Cognitive Dysfunction

Chemotherapy-Related Cognitive Impairment

Cognition Disorders

Neurocognitive Disorders

Mental Disorders

Psychotic Disorders

Joseph McCollom, DO

Emily Powell, PHD

Dr Joseph McCollom, DO

The purpose of this research study is to see how the brain changes in patients receiving chemotherapy (cytotoxic drug) treatment for colon or rectal cancer at Parkview Cancer Institute. This information will be used to identify helpful tests to diagnose individuals at risk for developing difficulties with thinking and memory due to their cancer treatments.

All self representation of gender identity accepted

Cognitive Impairment in Colorectal Cancer Patients Receiving Cytotoxic Chemotherapy

This panel of plasma factors will be will be used to detect protein from the blood of patients throughout and after chemotherapy treatment.

Indiana University School of Medicine

Joseph McCollom

Oncologist

Rare Diseases

Stomach Neoplasms

Esophageal Neoplasms

Duodenal Neoplasms

Stomach Diseases

Head and Neck Neoplasms

Esophageal Diseases

Duodenal Diseases

Stomach Cancer

Esophageal Cancer

Endoscopic injection of fluid into the gastrointestinal submucosal space followed by endoscopic knife dissection around and under the lesion so as to remove the lesion specimen in one piece with lesion free resection margins.

Endoscopic submucosal dissection (ESD)

Ciocirlan L Mihai, Associate Professor

Mihai L Ciocirlan

Mihai L Ciocirlan, Associate Professor

This is a patient registry for all cases of pre-neoplastic or early neoplastic digestive tract lesions treated with curative intention by endoscopic submucosal dissection (ESD) technique.

Cases will be registered one by one in an electronic record, with the consent of the patient and respecting all legal requirements.

Resected specimens of the gastrointestinal tract, fixed in formalin

Endoscopic Submucosal Dissection Registry

Endoscopic Submucosal Dissection Patients Registry in "Agrippa Ionescu" Hospital, Bucharest, Romania

Carol Davila University of Medicine and Pharmacy

Clinical Professor (Associate Professor)

Study title	NCT ID	Conditions	Interventions	Eligibility	Organization
Predicting Risk for Post-polypectomy Colorectal Cancer	NCT05606081	Colorectal Canc... Colorectal Poly... Colorectal Aden... Neoplasm, Color...	Logistic regres...	18 Years - 85 Years	Kaiser Permanente
Cognitive Impairment in Colorectal Cancer Patients Receiving Cytotoxic Chemotherapy	NCT05014399	Neoplasm, Color... Cognitive Impai... Cognitive Dysfu... Cognitive Chang... Chemo-brain Chemo Fog Chemotherapy Ef... Cognitive Decli...		18 Years -	Parkview Health
Endoscopic Submucosal Dissection Registry	NCT06033976	Neoplasm, Stoma... Neoplasm, Color... Neoplasm, Esoph... Neoplasm, Duode...	Endoscopic subm...	18 Years - 100 Years	Carol Davila University of Medicine and Pharmacy
Cognitive Impairment in Colorectal Cancer Patients Receiving Cytotoxic Chemotherapy	NCT05014399	Neoplasm, Color... Cognitive Impai... Cognitive Dysfu... Cognitive Chang... Chemo-brain Chemo Fog Chemotherapy Ef... Cognitive Decli...		18 Years -	Parkview Health

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