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乳腺癌幸存者恢复工作的预后因素。

Prognostic factors for return to work in breast cancer survivors.

作者信息

Tamminga Sietske J, de Wind Astrid, Greidanus Michiel A, Coenen Pieter, Friberg Emilie, Oldenburg Hester S A, Duijts Saskia Fa, de Boer Angela Gem

机构信息

Public and Occupational Health, Amsterdam UMC location University of Amsterdam, Amsterdam, Netherlands.

Societal Participation & Health, Amsterdam Public Health Research Institute, Amsterdam, Netherlands.

出版信息

Cochrane Database Syst Rev. 2025 May 7;5(5):CD015124. doi: 10.1002/14651858.CD015124.pub2.

Abstract

BACKGROUND

Breast cancer is the most common type of cancer in women around the world. Large numbers of people diagnosed with breast cancer are working at the time of diagnosis. Accumulating evidence suggests that breast cancer survivors participate less often in paid work compared to others. Return to work among breast cancer survivors is multifactorial. It is currently unknown which factors are associated with return to work in breast cancer survivors. Therefore, it is important to systematically review and synthesize the literature on the association between sociodemographic, breast cancer-related, other health-related, personal, and work-related factors and return to work in this group of people.

OBJECTIVES

The objective is to systematically review and synthesize the literature on the association between sociodemographic, breast cancer-related, other health-related, personal, and work-related factors and return to work in the 24 months following breast cancer diagnosis among breast cancer survivors having paid work at the time of diagnosis.

SEARCH METHODS

The search strategy included electronic searches in OVID/MEDLINE, Embase.com, EBSCOhost/CINAHL with Full Text, EBSCOhost/PsycINFO, Clarivate Analytics/Web of Science Core Collection and Wiley/Cochrane Library from inception up to 20 January 2023, as well as handsearching references of relevant reviews, included studies, and Google Scholar.

SELECTION CRITERIA

The following inclusion criteria were applied: - The type of study is a prospective cohort study, retrospective cohort study with time lag between assessment of prognostic factor and outcome, or prognosis study based on a randomized controlled trial. - The study sample included people diagnosed with breast cancer, having paid work at the time of their breast cancer diagnosis. - At least one variable as specified in our variable framework was studied. - Return to work (yes/no), or time to return to work was assessed somewhere between one and 24 months of follow-up. - The article type is an original research article (commentaries, reviews, and editorials were excluded). - Full text of the article is available. - The article was published in a peer-reviewed journal.

DATA COLLECTION AND ANALYSIS

Study characteristics and estimates of unadjusted and adjusted associations between one of the variables from the pre-defined variable framework and return to work were extracted. Risk of bias was assessed using the Quality in Prognosis Studies (QUIPS) tool. When at least four adjusted or four unadjusted measures of association (e.g. Odds Ratio (OR)) were available and more or less comparable in terms of how the measures of association were included in the analysis of the original study, a meta-analysis was conducted.

MAIN RESULTS

The systematic searches yielded 14,799 records with 2 identified via other sources. The systematic searches yielded 8486 references after duplicates were removed. We assessed 280 full-text articles for eligibility and excluded 249, including one article that was classified as 'awaiting classification' as it required professional translation. This left 31 articles based on 19 cohorts that fulfilled our inclusion criteria. Seven of the 19 studies could be included in one or more meta-analyses with a total of 2473 participants. All but one study were conducted in either Europe or the USA. The return to work rate ranged from 56% to 88%. From our prespecified variable framework, altogether 35 variables were studied in one or more included studies as prognostic factors. From these, we could combine five factors in the meta-analyses. - We found low-quality evidence that higher age is associated with lower odds of return to work in an adjusted analysis (pooled adjusted OR 0.96, 95% confidence interval (CI) 0.94 to 0.98; 4 studies, 1333 participants). - We found low-quality evidence that lower level of education is associated with lower odds of return to work in an unadjusted analysis (pooled unadjusted OR 0.40, 95% CI 0.29 to 0.55; 4 studies, 1680 participants), but not in an adjusted analysis (pooled adjusted OR 0.60, 95% CI 0.33 to 1.08; 4 studies, 1147 participants). - We found low-quality evidence that not having a partner is not associated with return to work in an unadjusted analysis (pooled unadjusted measures of association: 0.91 95% CI 0.67 to 1.23; 4 studies, 1680 participants). - We found low-quality evidence that receiving chemotherapy was associated with lower odds of return to work in an unadjusted analysis (pooled unadjusted measures of association: 0.48, 95% CI 0.31 to 0.73; 5 studies, 1766 participants). - We found low-quality evidence that receiving radiotherapy is not associated with return to work, respectively (pooled unadjusted measures of association: 1.03, 95% CI 0.64 to 1.17; 4 studies, 1680 participants). Due to the low number of included studies that measured the outcome, time to return to work, it was not possible to pool data of these studies.

AUTHORS' CONCLUSIONS: We found that higher age and receiving chemotherapy may be associated with lower odds of returning to work in breast cancer survivors (low-quality evidence; for chemotherapy, only pooled unadjusted results were available). Results regarding educational level are inconclusive. We furthermore found that there was no statistically significant adjusted association between having a partner and receiving radiotherapy (low-quality evidence; only unadjusted results were available). Further research is warranted to identify those breast cancer survivors who are at higher risk of not returning to work, so that they can receive timely support.

摘要

背景

乳腺癌是全球女性中最常见的癌症类型。大量被诊断为乳腺癌的人在确诊时仍在工作。越来越多的证据表明,与其他人相比,乳腺癌幸存者从事有薪工作的频率较低。乳腺癌幸存者重返工作岗位受多种因素影响。目前尚不清楚哪些因素与乳腺癌幸存者重返工作岗位有关。因此,系统回顾和综合有关社会人口学、乳腺癌相关、其他健康相关、个人和工作相关因素与这组人群重返工作岗位之间关联的文献非常重要。

目的

目的是系统回顾和综合有关社会人口学、乳腺癌相关、其他健康相关、个人和工作相关因素与确诊时从事有薪工作的乳腺癌幸存者在乳腺癌诊断后24个月内重返工作岗位之间关联的文献。

检索方法

检索策略包括在OVID/MEDLINE、Embase.com、EBSCOhost/CINAHL全文数据库、EBSCOhost/PsycINFO、科睿唯安/科学引文索引核心合集以及Wiley/Cochrane图书馆进行电子检索,检索时间从建库至2023年1月20日,同时人工检索相关综述、纳入研究的参考文献以及谷歌学术。

纳入标准

采用以下纳入标准:- 研究类型为前瞻性队列研究、评估预后因素与结局之间存在时间滞后的回顾性队列研究或基于随机对照试验的预后研究。- 研究样本包括被诊断为乳腺癌且在乳腺癌诊断时从事有薪工作的人。- 至少研究了我们变量框架中指定的一个变量。- 在随访的1至24个月之间的某个时间点评估了重返工作岗位(是/否)或重返工作岗位的时间。- 文章类型为原创研究文章(排除评论、综述和社论)。- 文章全文可用。- 文章发表在同行评审期刊上。

数据收集与分析

提取研究特征以及预定义变量框架中的一个变量与重返工作岗位之间未调整和调整后的关联估计值。使用预后研究质量(QUIPS)工具评估偏倚风险。当至少有四项调整后的或四项未调整的关联测量指标(如比值比(OR))可用,且在原始研究分析中纳入关联测量指标的方式大致可比时,进行荟萃分析。

主要结果

系统检索共获得14,799条记录,通过其他来源又识别出2条记录。去除重复记录后,系统检索得到8486条参考文献。我们评估了280篇全文文章的 eligibility,排除了249篇,其中包括一篇因需要专业翻译而被归类为“待分类”的文章。这留下了基于19个队列的31篇文章,这些队列符合我们的纳入标准。19项研究中的7项可以纳入一项或多项荟萃分析,共有2473名参与者。除一项研究外,所有研究均在欧洲或美国进行。重返工作岗位的比率在56%至88%之间。从我们预先指定的变量框架来看,共有35个变量在一项或多项纳入研究中作为预后因素进行了研究。从中,我们可以在荟萃分析中合并五个因素。- 我们发现低质量证据表明,在调整分析中,年龄较大与重返工作岗位的几率较低相关(合并调整后的OR为0.96,95%置信区间(CI)为0.94至0.98;4项研究,1333名参与者)。- 我们发现低质量证据表明,在未调整分析中,教育水平较低与重返工作岗位的几率较低相关(合并未调整的OR为0.40,95%CI为0.29至0.55;4项研究,1680名参与者),但在调整分析中不相关(合并调整后的OR为0.60,95%CI为0.33至1.08;4项研究,1147名参与者)。- 我们发现低质量证据表明,在未调整分析中,没有伴侣与重返工作岗位无关(合并未调整的关联测量指标:0.91,95%CI为0.67至1.23;4项研究,1680名参与者)。- 我们发现低质量证据表明,在未调整分析中,接受化疗与重返工作岗位的几率较低相关(合并未调整的关联测量指标:0.48,95%CI为0.31至0.73;5项研究,1766名参与者)。- 我们发现低质量证据表明,接受放疗与重返工作岗位无关(合并未调整的关联测量指标:1.03,95%CI为0.64至1.17;4项研究,1680名参与者)。由于测量结局(重返工作岗位的时间)的纳入研究数量较少,无法汇总这些研究的数据。

作者结论

我们发现年龄较大和接受化疗可能与乳腺癌幸存者重返工作岗位的几率较低相关(低质量证据;对于化疗,仅提供了合并的未调整结果)。关于教育水平的结果尚无定论。我们还发现,有伴侣和接受放疗之间在调整后没有统计学上的显著关联(低质量证据;仅提供了未调整结果)。有必要进行进一步研究,以确定那些重返工作岗位风险较高的乳腺癌幸存者,以便他们能够及时获得支持。

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本文引用的文献

2
Determinants of Return to Work After a Stroke: A Systematic Review and Meta-analysis.
Arch Phys Med Rehabil. 2024 Feb;105(2):359-368. doi: 10.1016/j.apmr.2023.08.027. Epub 2023 Oct 4.
3
Influencing factors analysis of adaptability of cancer patients to return-to-work.
Support Care Cancer. 2023 Apr 26;31(5):302. doi: 10.1007/s00520-023-07768-6.
6
The impact of single nucleotide polymorphisms on return-to-work after taxane-based chemotherapy in breast cancer.
Cancer Chemother Pharmacol. 2023 Feb;91(2):157-165. doi: 10.1007/s00280-022-04499-z. Epub 2023 Jan 4.
8
Return to Work and Mortality in Breast Cancer Survivors: A 11-Year Longitudinal Study.
Int J Environ Res Public Health. 2022 Nov 3;19(21):14418. doi: 10.3390/ijerph192114418.
9
The role of physical arm function and demographic disparities in breast cancer survivors' ability to return to work.
Support Care Cancer. 2022 Dec;30(12):10301-10310. doi: 10.1007/s00520-022-07449-w. Epub 2022 Nov 10.
10
Job loss, return to work, and multidimensional well-being after breast cancer treatment in working-age Black and White women.
J Cancer Surviv. 2023 Jun;17(3):805-814. doi: 10.1007/s11764-022-01252-6. Epub 2022 Sep 14.

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