PO.PS01.05 · 人群科学
基于问卷的数据收集在多样化结直肠癌队列中的可行性：早发型与平均发病型对比
Feasibility of survey-based data collection in a diverse colorectal cancer cohort: Early-onset vs. average-onset
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摘要 Abstract
中文摘要
背景：早发型结直肠癌（EOCRC）的发病率正在上升，然而针对不同人群中潜在因素的稳健模型尚不明确。多数研究仅考察单一因素，或在非多样化人群中开展。在不同人群的结直肠癌（CRC）患者中收集全面的患者自报数据，将有助于更深入地理解这些关联，从而为早期干预策略提供依据。
方法：在UT Southwestern Simmons Comprehensive Cancer Center（SCCC）及其附属安全网医院Parkland Health and Hospital System（PHHS）开展了一项试点问卷研究。目的是评估在结直肠癌患者中开展多领域问卷调查的可行性。符合条件的患者（≥18岁、I–IV期腺癌、12个月内确诊）以英语或西班牙语完成关于人口学、生活方式、症状负担、营养（Dietary History Questionnaire）、生活质量（EORTC QLQ-30、CR29）和经济毒性（COST-FACIT）的基线问卷。问卷通过REDCap在基线和3个月随访时进行。主要终点为问卷完成率；可行性通过招募率、参与率和完成率进行评估。在EOCRC（<50岁）与平均发病年龄型结直肠癌（AOCRC；≥50岁）之间进行了描述性比较。
结果：从2024年3月至2025年4月，共有66名患者被邀请，其中60名（91%）同意参与；全部完成了基线问卷（100%），证实了该方法在学术型医院和安全网医院环境中的可行性。然而，3个月随访问卷的参与率下降了50%。该队列在性别（48%女性，52%男性）和研究地点（50% Parkland，50% UTSW）方面分布均匀。参与者具有多样性（42%西班牙裔，18%黑人，42%非西班牙裔白人），社会经济状况各异：38%报告收入<35,000美元，23%>100,000美元，28%无法工作，23%在业。医院使用情况有所不同：96%的非西班牙裔白人在SCCC接受治疗，而大多数西班牙裔和黑人患者在PHHS就诊。77%的患者报告接受了Parkland经济援助，其中西班牙裔患者比例最高。19名患者（32%）为EOCRC（中位年龄42岁，范围30–48岁），41名（68%）为AOCRC（中位年龄64岁，范围51–82岁）。EOCRC患者更常为西班牙裔（58% vs. 32%）、在Parkland接受治疗（58% vs. 46%），并更频繁地接受援助（47% vs. 34%）。
结论：该试点研究证实，在种族、族裔和经济状况多样化的CRC队列中，基于问卷的全面数据收集是可行的。这些初步发现凸显了EOCRC与AOCRC在不同群体间的临床及社会人口学差异。未来工作将扩展纵向随访、纳入电子健康记录数据，并利用肿瘤登记表型实现低干预、系统化的患者招募，以获得更稳健的样本。
查看英文原文 English abstract
BACKGROUND: The incidence of early-onset colorectal cancer (EOCRC) is rising, yet a robust model of underlying factors across diverse populations is unknown. Most studies have examined a single factor or were performed in non-diverse population. The collection of comprehensive, patient-reported data across different populations in CRC will enable a deeper understanding of these associations to inform early intervention strategies.
METHODS: A pilot survey study was conducted at UT Southwestern Simmons Comprehensive Cancer Center (SCCC) and its affiliated safety-net hospital, Parkland Health and Hospital System (PHHS). The objective was to evaluate the feasibility of a multidomain survey in colorectal cancer patients. Eligible patients (≥18 years, stage I-IV adenocarcinoma, diagnosed within 12 months) completed baseline surveys in English or Spanish on demographics, lifestyle, symptom burden, nutrition (Dietary History Questionnaire), quality of life (EORTC QLQ-30, CR29), and financial toxicity (COST-FACIT). Surveys were administered in REDCap at baseline and three months follow-up. The primary endpoint was survey completion; feasibility was assessed by recruitment, participation, and completion rates. Descriptive comparisons were made between EOCRC (<50 years) and average-age onset colorectal cancer (AOCRC; ≥50 years).
RESULTS: From March 2024 to April 2025, 66 patients were approached, and 60 (91%) consented; all completed the baseline survey (100%), confirming feasibility across academic and safety-net settings. However, for the three-month follow-up survey participation decreased by 50%. The cohort was evenly distributed by sex (48% female, 52% male) and site (50% Parkland, 50% UTSW). Participants were diverse (42% Hispanic, 18% Black, 42% Non-Hispanic White) with variable socioeconomic status: 38% reported income <$35,000, 23% >$100,000, 28% were unable to work, and 23% were employed. Hospital utilization differed: 96% of Non-Hispanic Whites were treated at SCCC, while most Hispanic and Black patients were seen at PHHS. Parkland Financial Assistance was reported by 77%, highest among Hispanic patients. Nineteen patients (32%) had EOCRC (median age 42, range 30-48) and 41 (68%) had AOCRC (median age 64, range 51-82). EOCRC patients were more often Hispanic (58% vs. 32%), treated at Parkland (58% vs. 46%), and received assistance more frequently (47% vs. 34%).
CONCLUSION: This pilot study confirms that comprehensive, survey-based data collection is feasible in a racially, ethnically, and financially diverse CRC cohort. These preliminary findings highlight the clinical and sociodemographic differences of EOCRC and AOCRC across distinct groups. Future work will expand longitudinal follow-up, incorporate electronic health record data, and leverage tumor registry phenotypes to enable low-touch, systematic patient recruitment for a more robust sample.
利益披露 Disclosure
C. F. Lopez, None..
L. Su, None..
L. Gonzalez, None..
Y. Liu, None..
R. Nair, None..
L. Cowell, None..
E. Huang, None..
S. M. Kazmi, None.