Patients' Attitude toward Less Frequent Surveillance of Low-Risk Pancreatic Cysts: A Multicenter European Cohort Study.

IF 3.1 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Medical Decision Making Pub Date : 2025-10-01 Epub Date: 2025-08-03 DOI:10.1177/0272989X251352750
Marloes L J A Sprij, Inge M C M de Kok, Daan D Nieboer, Gabriele Capurso, Jihane Meziani, Mattheus C B Wielenga, Mirjam C M van der Ende, Marianne E Smits, Riccardo Casadei, Matthijs P Schwartz, Frederike G I van Vilsteren, Chantal Hoge, Rutger Quispel, Pieter Honkoop, Laurens A van der Waaij, Gemma Rossi, Adriaan C I T L Tan, Marco J Bruno, Djuna L Cahen
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引用次数: 0

Abstract

BackgroundRecent studies show that low-risk pancreatic cysts may require less frequent monitoring. Future guidelines will likely adapt their recommendations accordingly. Our goal was to explore the willingness of individuals with a low-risk pancreatic cyst to undergo less frequent surveillance and to identify associated characteristics with such willingness.MethodsThis is a side study of the international PACYFIC study, which prospectively collects data on cyst surveillance, including questionnaires to assess participants' attitude toward surveillance. Individuals with low-risk cysts at baseline, without given standardized information by the study protocol, were enrolled. Their responses to the baseline question, "Would you prefer less frequent surveillance? Yes/No," were correlated with baseline characteristics using multivariable logistic regression, namely, age, country of residence, symptoms, medical and family history, time since first cyst detection, and Hospital Anxiety Depression Scale score.ResultsOf the 215 participants included from the Netherlands (n = 185) and Italy (n = 30), only 47 (22%) were willing to undergo less surveillance. Characteristics positively associated with this willingness were older age (odds ratio [OR] 1.87 per 10 y, 95% confidence interval [CI]: 1.15-3.04) and Italian residency (OR 16.35, 95% CI: 5.65-47.31). A medical history of cancer was negatively associated (OR 0.28, 95% CI: 0.09-0.90). No other associations were observed.ConclusionMost participants appear unwilling to undergo less frequent cyst surveillance. Older age and residing in Italy were associated with a greater willingness toward less rigorous surveillance, while a history of cancer did the opposite. Identifying which individuals are hesitant to undergo less frequent surveillance may help clinicians tailor their counseling and can support implementation of future guideline with fewer surveillance recommendations.HighlightsMost low-risk individuals were reluctant toward less frequent pancreatic cyst surveillance.Older age and residency in Italy were associated with a higher willingness.A medical history of cancer was associated with an unwillingness.Standardized patient information may increase the willingness, but such information has yet to be developed.

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患者对低风险胰腺囊肿较少监测的态度:一项多中心欧洲队列研究
最近的研究表明,低风险的胰腺囊肿可能需要较少的监测。未来的指南可能会相应地调整他们的建议。我们的目的是探讨低风险胰腺囊肿患者接受较少频率监测的意愿,并确定这种意愿的相关特征。方法:本研究是国际PACYFIC研究的一项辅助研究,该研究前瞻性地收集囊肿监测数据,包括评估参与者对监测态度的问卷调查。在基线时患有低风险囊肿的个体,在研究方案中没有给出标准化信息。他们对基本问题的回答是:“你是否更喜欢不那么频繁的监视?”通过多变量logistic回归,“是/否”与基线特征相关,即年龄、居住国家、症状、病史和家族史、首次发现囊肿的时间以及医院焦虑抑郁量表评分。结果来自荷兰(185名)和意大利(30名)的215名参与者中,只有47名(22%)愿意接受较少的监控。与这种意愿呈正相关的特征是年龄较大(比值比[OR] 1.87 / 10年,95%可信区间[CI]: 1.15-3.04)和居住在意大利(OR: 16.35, 95% CI: 5.65-47.31)。与癌症病史呈负相关(OR 0.28, 95% CI: 0.09-0.90)。未观察到其他关联。结论:大多数参与者似乎不愿意接受较少频率的囊肿监测。年龄较大和居住在意大利的人更愿意接受不那么严格的监测,而有癌症病史的人则相反。确定哪些人不愿意接受更少的监测,可以帮助临床医生调整他们的咨询,并可以支持未来指南的实施,减少监测建议。大多数低风险个体不愿意进行频率较低的胰腺囊肿监测。年龄越大,居住在意大利的意愿越高。癌症病史与不情愿有关。标准化的患者信息可能会增加意愿,但这些信息尚未开发。
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来源期刊
Medical Decision Making
Medical Decision Making 医学-卫生保健
CiteScore
6.50
自引率
5.60%
发文量
146
审稿时长
6-12 weeks
期刊介绍: Medical Decision Making offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health care policy development. Using the fundamentals of decision analysis and theory, economic evaluation, and evidence based quality assessment, Medical Decision Making presents both theoretical and practical statistical and modeling techniques and methods from a variety of disciplines.
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