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使用大语言模型提取应激性生活事件以评估其对预防性结肠癌筛查依从性的影响。

Using large language models for extracting stressful life events to assess their impact on preventive colon cancer screening adherence.

作者信息

Scherbakov Dmitry, Heider Paul M, Wehbe Ramsey, Alekseyenko Alexander V, Lenert Leslie A, Obeid Jihad S

机构信息

Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC, USA.

Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.

出版信息

BMC Public Health. 2025 Jan 2;25(1):12. doi: 10.1186/s12889-024-21123-2.

Abstract

BACKGROUND

Increase in early onset colorectal cancer makes adherence to screening a significant public health concern, with various social determinants playing a crucial role in its incidence, diagnosis, treatment, and outcomes. Stressful life events, such as divorce, marriage, or sudden loss of job, have a unique position among the social determinants of health.

METHODS

We applied a large language model (LLM) to social history sections of clinical notes in the health records database of the Medical University of South Carolina to extract recent stressful life events and assess their impact on colorectal cancer screening adherence. We used pattern-matching regular expressions to detect a possible signal in social histories and ran LLM four times on each social history to achieve self-consistency and then used logistic regression to estimate the impact of life events on the probability of having a code in health records related to colorectal cancer screening.

RESULTS

The LLM detected 380 patients with one or more stressful life events and 5,344 patients with no life events. The events with the most negative impact on screening were arrest or incarceration (OR 0.26 95% CI 0.06-0.77), becoming homeless (OR 0.18 95% CI 0.01-0.92), separation from spouse or partner (OR 0.32 95% CI 0.05-1.18), getting married or starting to live with a partner (OR 0.60 95% CI 0.19-1.53). Death of somebody close to the patient (excluding their spouse) increased the chance of screening (OR 1.21 95% CI 0.71-2.05). Many of the observed effects did not reach statistical significance.

CONCLUSION

Our findings suggest that stressful life events might have a counterintuitive impact on screening, with some events, such as bereavement, were associated with increased screening. Future work should be focused on validating the research findings using data from other health institutions. In addition, expanding the list of stressful life events by including a validated scale of stressful life events for patients from historically marginalized groups is warranted.

摘要

背景

早发性结直肠癌的增加使得坚持筛查成为一个重大的公共卫生问题,各种社会决定因素在其发病率、诊断、治疗和结局中起着至关重要的作用。诸如离婚、结婚或突然失业等生活压力事件在健康的社会决定因素中具有独特地位。

方法

我们将一个大语言模型(LLM)应用于南卡罗来纳医科大学健康记录数据库中临床笔记的社会史部分,以提取近期的生活压力事件,并评估它们对结直肠癌筛查依从性的影响。我们使用模式匹配正则表达式在社会史中检测可能的信号,并对每个社会史运行LLM四次以实现自我一致性,然后使用逻辑回归来估计生活事件对健康记录中与结直肠癌筛查相关代码出现概率的影响。

结果

LLM检测到380名有一个或多个生活压力事件的患者和5344名没有生活压力事件的患者。对筛查影响最负面的事件是被捕或监禁(比值比0.26,95%置信区间0.06 - 0.77)、无家可归(比值比0.18,95%置信区间0.01 - 0.92)、与配偶或伴侣分居(比值比0.32,95%置信区间0.05 - 1.18)、结婚或开始与伴侣同居(比值比0.60,95%置信区间0.19 - 1.53)。患者身边亲近的人(不包括其配偶)去世增加了筛查的几率(比值比1.21,95%置信区间0.71 - 2.05)。许多观察到的影响未达到统计学显著性。

结论

我们的研究结果表明,生活压力事件可能对筛查产生与直觉相反的影响,一些事件,如亲人丧亡,与筛查增加有关。未来的工作应集中于使用来自其他卫生机构的数据验证研究结果。此外,通过纳入针对历史上被边缘化群体患者的经过验证的生活压力事件量表来扩大生活压力事件清单是有必要的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac2/11697464/91431985c8ba/12889_2024_21123_Fig1_HTML.jpg

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