监测脱落的单变量分析
家族性腺瘤性息肉病患者监测脱落影响因素的单变量分析数据，包含医院距离、监测依从性及生存结局。
基本信息
资源简介
监测脱落的单变量分析
【数据集背景】
本数据集源站标题为《Univariate analysis of surveillance dropout.》。源站首次发布：2026-02-13。
【数据内容】
源站原始描述：This study aimed to evaluate how hospital distance and changes in surveillance hospitals influence adherence to surveillance, the cumulative risk of familial adenomatous polyposis-related tumors, and survival outcomes in patients with familial adenomatous polyposis. We conducted a multicenter retrospective study in a specific region of Japan and analyzed 79 patients with familial adenomatous polyposis who underwent total colectomy or proctocolectomy between 1987 and 2025 across 9 accredited hosp…
【数据结构与技术规格】
文件数 1 个，合计 5.63 KB。Table 2.xls：application/vnd.ms-excel，5.63 KB。数据集 DOI：10.1371/journal.pone.0339401.t002。
【主题与分类】
源站学科分类：Medicine、Neuroscience、Biotechnology、Chemical Sciences not elsewhere classified、Sociology、Cancer。主题标签：underwent total colectomy、familial adenomatous polyposis、multicenter study found、multicenter retrospective study、patients &# 8217、analyzed 79 patients、patients changed hospitals、specific clinical predictors、surveillance hospitals showed、surveillance dropout occurred。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面：https://plos.figshare.com/articles/dataset/_p_Univariate_analysis_of_surveillance_dropout_p_/31335989
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Tatsuta, Kyota; Sakata, Mayu; Iwaizumi, Moriya; Okamoto, Kazuya; Yoshii, Shigeto; Asaba, Yutaro; et al. (2026). Univariate analysis of surveillance dropout.. PLOS ONE. Dataset
下载信息
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使用方式
数据集获取（Figshare）
- 源站标题：<p>Univariate analysis of surveillance dropout.</p>
- DOI：10.1371/journal.pone.0339401.t002
- 发布日期：2026-02-13
- 文件数：1 个
- 文件总体积：5.63 KB
- 源站页面：https://plos.figshare.com/articles/dataset/_p_Univariate_analysis_of_surveillance_dropout_p_/31335989
命令行下载
curl -L -o "Table 2.xls" "https://ndownloader.figshare.com/files/61892006"
文件清单
Table 2.xls（5.63 KB）
文件总体积 5.63 KB（源站 API 实测）。
数据说明
This study aimed to evaluate how hospital distance and changes in surveillance hospitals influence adherence to surveillance, the cumulative risk of familial adenomatous polyposis-related tumors, and survival outcomes in patients with familial adenomatous polyposis. We conducted a multicenter retrospective study in a specific region of Japan and analyzed 79 patients with familial adenomatous polyposis who underwent total colectomy or proctocolectomy between 1987 and 2025 across 9 accredited hospitals. We examined the associations between straight-line distance to the hospital, changes in surveillance centers, and surveillance adherence, as well as the cumulative risk of familial adenomatous polyposis-related tumors and survival outcomes. The 10-year surveillance adherence rate was 86.5%. During follow-up, 31.6% of patients changed hospitals. Hospital distance did not differ significantly between those who maintained or dropped out of surveillance. However, patients residing ≥40 km from their hospital were significantly more likely to switch hospitals (61.5% vs. 13.2%, p < 0.001). Importantly, changes in surveillance hospitals showed no significant association with the cumulative risk of familial adenomatous polyposis-related tumors or survival outcomes. Surveillance dropout occurred in 7.6% of patients. No specific clinical predictors of surveillance dropout were identified; the most common reason for surveillance dropout was patients’ self-assessed low risk following negative screening results. This multicenter study found that hospital distance or changes in surveillance hospitals did not significantly affect adherence to surveillance or clinical outcomes in patients with familial adenomatous polyposis.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0339401.t002（source: https://plos.figshare.com/articles/dataset/_p_Univariate_analysis_of_surveillance_dropout_p_/31335989）。
数据缺失？
依托陕西、四川两大基地，我们与超过十家三甲医院建立直接合作关系，覆盖合规授权、采集治理、专业标注、数据交付的全流程，为AI医疗团队提供即拿即用的高质量临床数据。
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