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作为乳腺癌患者综合管理一部分的抑郁症状早期诊断。

Early diagnosis of depressive symptoms as part of the comprehensive management of breast cancer patients.

作者信息

Teja Macarena, Ocanto Abrahams, Couñago Felipe

机构信息

Department of Radiation Oncology, Genesis Care-San Francisco de Asís University Hospital, Madrid 28002, Spain.

Department of Radiation Oncology, Genesis Care-Vithas La Milagrosa University Hospital, Madrid 28010, Spain.

出版信息

World J Clin Oncol. 2025 Aug 24;16(8):106627. doi: 10.5306/wjco.v16.i8.106627.

DOI:10.5306/wjco.v16.i8.106627
PMID:40901327
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12400244/
Abstract

Breast cancer is the most common cancer in women worldwide. A high percentage of these patients may have depressive symptoms and an early detection is crucial as part of a comprehensive management of the disease. Mao recently conducted a study constructing a depression risk predictive model in young and middle-aged breast cancer patients. Four questionnaires (a general one, Patient Health Questionnaire-9, Perceived Social Support From Family Scale and International Physical Activity Questionnaire) and the Visual Analogue Scale were used to examine the correlation between different variables and depressive symptoms. The constructed predictive model showed strong predictive capability with an area under the receiver operating characteristic curve of 0.852 and high sensitivity and specificity values. However, the screening depression tools and questionnaires to assess social support or physical activity are not originally designed for oncological patients and further investigation to corroborate their applicability in this context is relevant. The cross-sectional design of the study prevents establishing clear causal relationships between the identified risk factors and depression. Besides, the study includes only a sample of Chinese patients and the applicability in a different sociocultural context is uncertain. Further investigation is crucial to corroborate the results in larger samples and different contexts.

摘要

乳腺癌是全球女性中最常见的癌症。这些患者中有很大比例可能有抑郁症状,作为疾病综合管理的一部分,早期检测至关重要。毛最近开展了一项研究,构建了一个针对中青年乳腺癌患者的抑郁风险预测模型。使用了四份问卷(一份通用问卷、患者健康问卷 -9、家庭感知社会支持量表和国际体力活动问卷)以及视觉模拟量表来检验不同变量与抑郁症状之间的相关性。构建的预测模型显示出很强的预测能力,受试者工作特征曲线下面积为0.852,且具有较高的敏感性和特异性值。然而,用于筛查抑郁症的工具以及评估社会支持或体力活动的问卷并非最初为肿瘤患者设计,进一步研究以证实它们在此背景下的适用性很有必要。该研究的横断面设计使得无法在已确定的风险因素与抑郁之间建立明确的因果关系。此外,该研究仅纳入了中国患者样本,在不同社会文化背景下的适用性尚不确定。进一步研究对于在更大样本和不同背景下证实结果至关重要。

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本文引用的文献

1
Construction of a nomogram-based risk prediction model for depressive symptoms in middle-aged and young breast cancer patients.基于列线图的中青年乳腺癌患者抑郁症状风险预测模型的构建
World J Clin Oncol. 2025 Apr 24;16(4):102208. doi: 10.5306/wjco.v16.i4.102208.
2
Risk factors and prediction model for sub-threshold depression in young and middle-aged breast cancer patients.中青年乳腺癌患者亚阈值抑郁的危险因素及预测模型
Am J Transl Res. 2024 Dec 15;16(12):7542-7552. doi: 10.62347/BIYK4324. eCollection 2024.
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Development and validation of a nomogram model of depression and sleep disorders and the risk of disease progression in patients with breast cancer.开发和验证用于乳腺癌患者抑郁和睡眠障碍以及疾病进展风险的列线图模型。
BMC Womens Health. 2024 Jul 3;24(1):385. doi: 10.1186/s12905-024-03222-9.
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Psychometric Properties of the Patient Health Questionnaire-9 in Patients With Breast Cancer.乳腺癌患者中患者健康问卷-9的心理测量特性
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Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.2022 年全球癌症统计数据:全球 185 个国家和地区 36 种癌症的发病率和死亡率全球估计数。
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Heliyon. 2021 Jul 22;7(7):e07657. doi: 10.1016/j.heliyon.2021.e07657. eCollection 2021 Jul.