Dataset Information

Caring for the breast cancer survivor's health and well-being.

ABSTRACT: The breast cancer care continuum entails detection, diagnosis, treatment, and survivorship. During this time, focus on the whole woman and medical concerns beyond the breast cancer diagnosis itself is essential. In this comprehensive review, we critically review and evaluate recent evidence regarding several topics pertinent to and specific for the woman living with a prior history of breast cancer. More specifically, we discuss the most recent recommendations for contraceptive options including long-acting reversible contraception and emergency contraception, fertility and pregnancy considerations during and after breast cancer treatment, management of menopausal vasomotors symptoms and vulvovaginal atrophy which often occurs even in young women during treatment for breast cancer. The need to directly query the patient about these concerns is emphasized. Our focus is on non-systemic hormones and non-hormonal options. Our holistic approach to the care of the breast cancer survivor includes such preventive health issues as sexual and bone health,which are important in optimizing quality of life. We also discuss strategies for breast cancer recurrence surveillance in the setting of a prior breast cancer diagnosis. This review is intended for primary care practitioners as well as specialists caring for female breast cancer survivors and includes key points for evidence-based best practice recommendations.

SUBMITTER: Casey PM

PROVIDER: S-EPMC4129533 | biostudies-other | 2014 Oct

REPOSITORIES: biostudies-other

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Caring for the breast cancer survivor's health and well-being.

Casey Petra M PM Faubion Stephanie S SS MacLaughlin Kathy L KL Long Margaret E ME Pruthi Sandhya S

World journal of clinical oncology 20141001 4

The breast cancer care continuum entails detection, diagnosis, treatment, and survivorship. During this time, focus on the whole woman and medical concerns beyond the breast cancer diagnosis itself is essential. In this comprehensive review, we critically review and evaluate recent evidence regarding several topics pertinent to and specific for the woman living with a prior history of breast cancer. More specifically, we discuss the most recent recommendations for contraceptive options including ...[more]

PMID: 25302171

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Project description:ImportanceYoung women with breast cancer are increasingly choosing bilateral mastectomy (BM), yet little is known about short-term and long-term physical and psychosocial well-being following surgery in this population.ObjectiveTo evaluate the differential associations of surgery with quality of life (QOL) and psychosocial outcomes from 1 to 5 years following diagnosis.Design, setting, and participantsCohort study.SettingMulticenter, including academic and community hospitals in North America.ParticipantsWomen age ≤40 when diagnosed with Stage 0-3 with unilateral breast cancer between 2006 and 2016 who had surgery and completed QOL and psychosocial assessments.Exposures (for observational studies)Primary breast surgery including breast-conserving surgery (BCS), unilateral mastectomy (UM), and BM.Main outcomes and measuresPhysical functioning, body image, sexual health, anxiety and depressive symptoms were assessed in follow-up.ResultsOf 826 women, mean age at diagnosis was 36.1 years; most women were White non-Hispanic (86.7%). Regarding surgery, 45% had BM, 31% BCS, and 24% UM. Of women who had BM/UM, 84% had reconstruction. While physical functioning, sexuality, and body image improved over time, sexuality and body image were consistently worse (higher adjusted mean scores) among women who had BM vs BCS (body image: year 1, 1.32 vs 0.64; P < .001; year 5, 1.19 vs 0.48; P < .001; sexuality: year 1, 1.66 vs 1.20, P < .001; year 5, 1.43 vs 0.96; P < .001) or UM (body image: year 1, 1.32 vs 1.15; P = .06; year 5, 1.19 vs 0.96; P = .02; sexuality: year 1, 1.66 vs 1.41; P = .02; year 5, 1.43 vs 1.09; P = .002). Anxiety improved across groups, but adjusted mean scores remained higher among women who had BM vs BCS/UM at 1 year (BM, 7.75 vs BCS, 6.94; P = .005; BM, 7.75 vs UM, 6.58; P = .005), 2 years (BM, 7.47 vs BCS, 6.18; P < .001; BM, 7.47 vs UM, 6.07; P < .001) and 5 years (BM, 6.67 vs BCS, 5.91; P = .05; BM, 6.67 vs UM, 5.79; P = .05). There were minimal between-group differences in depression levels in follow-up.Conclusions and relevanceWhile QOL improves over time, young breast cancer survivors who undergo more extensive surgery have worse body image, sexual health, and anxiety compared with women undergoing less extensive surgery. Ensuring young women are aware of the short-term and long-term effects of surgery and receive support when making surgical decisions is warranted.

Project description:Importance:Making a good decision about breast reconstruction requires predicting how one would feel after the procedure, but people tend to overestimate the impact of events on future well-being. Objective:To assess how well patients predict future well-being after mastectomy, with or without immediate reconstruction, with the following a priori hypotheses: Patients will overestimate the negative impact of mastectomy and positive impact of reconstruction, and prediction accuracy will be associated with decision satisfaction and decision regret. Design, Setting, and Participants:This prospective cohort survey study was conducted at a single, multidisciplinary academic oncology clinic from July 2012 to February 2014. Adult women undergoing mastectomy for stage 1, 2, or 3 invasive ductal or lobular breast cancer, ductal carcinoma in situ, or prophylaxis were invited to participate. Data analysis was conducted from September 2015 to October 2017. Exposures:Mastectomy only or mastectomy with immediate reconstruction. Main Outcomes and Measures:Preoperative measures predicted were 12-month happiness (Cantril Ladder) and quality of life, predicted satisfaction with breasts, sexual attractiveness, breast numbness, and pain (measured with BreastQ single items). Measures at 12 months postoperative added the Decision Regret Scale and Satisfaction With Decisions Scale. Results:Of 214 eligible patients, 182 consecutive patients were approached, and 145 enrolled (80%). Of these 145 patients, 131 returned surveys (72%) and 111 of these remained at 12 months (88%). Fifteen who had delayed reconstruction were excluded from analysis, leaving a final cohort of 96 women; 54 had not had reconstruction and 42 had had reconstruction. The mean (SD) age of the cohort was 53.9 (12.1) years; 73 (76%) were white; 50 (52%) were college graduates; 54 (56%) were privately insured; 69 (72%) had disease at stages 0, 1, or 2; and 31 (32%) received adjuvant radiation. Patients having mastectomy without reconstruction underestimated future well-being in all domains. Differences were significant for quality of life scores (mean predicted, 68 vs mean actual, 74; t50, -2.47; P?=?.02) and satisfaction with breasts-clothed (mean predicted, 2.4 vs mean actual, 2.8; t49, -2.11; P?=?.04). Patients undergoing mastectomy with reconstruction overestimated future well-being in all but 1 domain. Differences were significant for satisfaction with breasts-unclothed (mean predicted, 3.1 vs mean actual, 2.6; t41, 2.70; P?=?.01); sexual attractiveness-clothed (mean predicted, 3.7 vs mean actual, 3.3; t39, 2.29; P?=?.03); sexual attractiveness-unclothed (mean predicted, 3.3 vs mean actual, 2.3; t40, 5.57; P?<?.001). Both groups experienced more numbness than predicted (mean predicted, 2.79 and 2.72 for mastectomy only and mastectomy with reconstruction groups, respectively; mean actual, 3.52 and 3.56, respectively; t47, -3.4 and t38, -2.9, respectively; P?<?.01). Patients who were less happy (??=?6.3; P?=?.02) or had greater pain (??=?8.7; P?<?.001) than predicted had greater regret. Conclusions and Relevance:Patients underestimated future well-being after mastectomy and overestimated well-being after reconstruction. Misprediction was associated with regret. Decision support for breast reconstruction should address expectations about well-being.

Project description:BACKGROUND:Sentiment analysis (SA) is a subfield of natural language processing whose aim is to automatically classify the sentiment expressed in a free text. It has found practical applications across a wide range of societal contexts including marketing, economy, and politics. This review focuses specifically on applications related to health, which is defined as "a state of complete physical, mental, and social well-being and not merely the absence of disease or infirmity." OBJECTIVE:This study aimed to establish the state of the art in SA related to health and well-being by conducting a systematic review of the recent literature. To capture the perspective of those individuals whose health and well-being are affected, we focused specifically on spontaneously generated content and not necessarily that of health care professionals. METHODS:Our methodology is based on the guidelines for performing systematic reviews. In January 2019, we used PubMed, a multifaceted interface, to perform a literature search against MEDLINE. We identified a total of 86 relevant studies and extracted data about the datasets analyzed, discourse topics, data creators, downstream applications, algorithms used, and their evaluation. RESULTS:The majority of data were collected from social networking and Web-based retailing platforms. The primary purpose of online conversations is to exchange information and provide social support online. These communities tend to form around health conditions with high severity and chronicity rates. Different treatments and services discussed include medications, vaccination, surgery, orthodontic services, individual physicians, and health care services in general. We identified 5 roles with respect to health and well-being among the authors of the types of spontaneously generated narratives considered in this review: a sufferer, an addict, a patient, a carer, and a suicide victim. Out of 86 studies considered, only 4 reported the demographic characteristics. A wide range of methods were used to perform SA. Most common choices included support vector machines, naïve Bayesian learning, decision trees, logistic regression, and adaptive boosting. In contrast with general trends in SA research, only 1 study used deep learning. The performance lags behind the state of the art achieved in other domains when measured by F-score, which was found to be below 60% on average. In the context of SA, the domain of health and well-being was found to be resource poor: few domain-specific corpora and lexica are shared publicly for research purposes. CONCLUSIONS:SA results in the area of health and well-being lag behind those in other domains. It is yet unclear if this is because of the intrinsic differences between the domains and their respective sublanguages, the size of training datasets, the lack of domain-specific sentiment lexica, or the choice of algorithms.

Dataset Information

Caring for the breast cancer survivor's health and well-being.

Publications

Caring for the breast cancer survivor's health and well-being.

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