使用计算机化数据库（REDCap）获取接受减肥手术患者的临床随访信息。

Using a computerized database (REDCap) to access the clinical follow-up of patients undergoing bariatric surgery.

作者信息

Welendorf Caroline Rossi, Pastore Thaís Alves de Azevedo Chaves, Noronha Natália Yumi, Ferreira Flávia de Campos, Watanabe Ligia Moriguchi, Nicoletti-Fino Carolina Ferreira, Salgado Junior Wilson, Rodrigues Guilherme da Silva, Pinhel Marcela Augusta de Souza, Nonino Carla Barbosa

机构信息

Laboratory of Nutrigenomics Studies, Department of Health Sciences, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil.

Laboratory of Nutrigenomics Studies, Department of Health Sciences, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil; Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.

出版信息

Clinics (Sao Paulo). 2025 Jun 27;80:100714. doi: 10.1016/j.clinsp.2025.100714.

DOI:10.1016/j.clinsp.2025.100714

PMID:40580586

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12266468/

Abstract

This study highlights the use of REDCap as an effective tool for the clinical follow-up of bariatric surgery patients. By manually entering data from medical records spanning 2000 to 2020, the study provides insights into REDCap's capabilities in organizing and analyzing large datasets. Key findings demonstrate its value in monitoring weight changes, biochemical parameters, and adherence to supplementation protocols, contributing to improved patient management and research efficiency. While REDCap's utility is clear, limitations include the retrospective and single-site nature of the study, which may affect generalizability. Future efforts will focus on expanding data collection and integrating the database into routine clinical workflows.

摘要

本研究强调了将REDCap用作肥胖症手术患者临床随访的有效工具。通过手动输入2000年至2020年病历中的数据，该研究深入了解了REDCap在组织和分析大型数据集方面的能力。主要研究结果证明了其在监测体重变化、生化参数以及补充方案依从性方面的价值，有助于改善患者管理和研究效率。虽然REDCap的效用显而易见，但其局限性包括研究的回顾性和单中心性质，这可能会影响研究结果的普遍性。未来的工作将集中于扩大数据收集范围，并将数据库整合到常规临床工作流程中。