Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

A Seven-day Preoperative Exercise Training Program in People With Abdominal Cancer

Universidade Cidade de Sao Paulo · 2019
ClinicalTrials.gov · Datasets · License: Public Domain · 2019
Open Source ↗
cancernaphysical-therapysurgery
Background: Preoperative exercise training programs of long duration, that delay surgical resection of tumors, may not be feasible in the treatment of malignant disease. In people with lung cancer, improvements in postoperative outcomes have been demonstrated with short duration (i.e. up to seven days) preoperative exercise training programs. However, the feasibility of short duration preoperative exercise training programs in people with abdominal cancer has not been investigated. Objective: In people undergoing surgical resection for abdominal cancer, to investigate the effects of a seven-day preoperative exercise training program on preoperative exercise capacity and peripheral muscle strength as well as adherence rates, adverse events and subjective perception of satisfaction and discomfort of participants to the preoperative treatment. Design: A feasibility study. Setting: Participants will be recruited from the surgical ward of a public hospital in São Paulo, Brazil. Participants: 22 inpatients over 18 years old, awaiting surgical resection for colorectal, esophageal, gastric, hepatic or pancreatic cancer. Intervention: The participants will undergo a seven-day, inpatient preoperative exercise training program that includes aerobic and resistance exercises. Measurements: preoperative exercise capacity, peripheral muscle strength, adherence rates (consent rates, recruitment rates, completion rates and adherence), adverse events, the reasons for ineligibility and the reasons for declining participation and the subjective perception of satisfaction and discomfort of the participants to the preoperative treatment.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 879929
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive