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1

Ersig, Anne L., Allison Werner-Lin, Lindsey Hoskins, et al. "Legacies and Relationships: Diverse Social Networks and BRCA1/2 Risk Management Decisions and Actions." Journal of Family Nursing 25, no. 1 (2018): 28–53. http://dx.doi.org/10.1177/1074840718815844.

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In families with hereditary breast/ovarian cancer, complex disease histories challenge established patterns of family communication and influence decision-making for clinical surveillance, genetic testing, and risk management. An interdisciplinary team examined longitudinal interview data from women with identified BRCA1/2 mutations to assess interactions within family and social networks about risk information communication and management. We used interpretive description to identify motivation, content, and derived benefit of these interactions. Participants discussed risk information and ma
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Gershenson, David M., Anna M. Miller, Victoria L. Champion, et al. "Reproductive and Sexual Function After Platinum-Based Chemotherapy in Long-Term Ovarian Germ Cell Tumor Survivors: A Gynecologic Oncology Group Study." Journal of Clinical Oncology 25, no. 19 (2007): 2792–97. http://dx.doi.org/10.1200/jco.2006.08.4590.

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Purpose To compare malignant ovarian germ cell tumor survivors with a matched control group of females on menstrual and reproductive outcomes, sexual functioning, and dyadic adjustment. Patients and Methods Eligible patients met the following criteria: (1) history of malignant ovarian germ cell tumor; (2) treatment with surgery plus platinum-based chemotherapy; (3) age at least 18 years and continuously disease-free with minimum follow-up of 2 years; (4) capability of completing questionnaire and telephone interview; and (5) completion of written informed consent. The control group was drawn f
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De-Miguel-Molina, Blanca, Scott W. Cunningham, and Fernando Palop. "Analyzing Funding Patterns and Their Evolution in Two Medical Research Topics." International Journal of Innovation and Technology Management 14, no. 02 (2017): 1740010. http://dx.doi.org/10.1142/s0219877017400107.

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This paper analyzes funding patterns and their evolution in two medical research topics: breast cancer and ovarian cancer, taking into account cross-agency and cross-national co-funding. A bibliometric analysis of 355[Formula: see text]463 papers from PubMed (273[Formula: see text]526 on breast cancer and 81[Formula: see text]937 on ovarian cancer) brought back 91 funding agencies involved in breast cancer and 65 in ovarian cancer. Additionally, the paper examined the evolution of medical subject headings (MESH) funded by agencies. An analysis of patterns in funding, co-funding, MESH, and thei
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Smeltzer, Matthew, Monique Dawkins, Leigh Boehmer, et al. "Assessing comprehensive care deficits in United States (U.S.) ovarian cancer programs to inform quality improvement initiatives." Journal of Clinical Oncology 39, no. 28_suppl (2021): 256. http://dx.doi.org/10.1200/jco.2020.39.28_suppl.256.

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256 Background: Ovarian cancer is the leading cause of gynecologic cancer mortality in the US. Given the high burden of disease and complexities in the provision of quality care, a multidisciplinary team approach is critical to optimal care delivery. In 2019, the Association of Community Cancer Centers (ACCC) launched a multiphase, stakeholder-driven initiative to improve care for this patient population. Results of a national survey of cancer programs to identify the needs of patients are reported here. Methods: A 20 question survey was developed by an expert steering committee including gyne
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Ciuro, Jordan Alana, Samira Ahsan, Alisha Beyer, and Nancy Jackson. "Healthcare disparities and the demand for expanding hereditary breast cancer screening guidelines in African Americans." Journal of Clinical Oncology 38, no. 15_suppl (2020): e13636-e13636. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e13636.

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e13636 Background: The role of predictive genetic testing on cancer care continues to rise in the healthcare community due to increased development, high demand and utilization of multi-panel testing and genome sequencing. BRCA1 and BRCA2 (BRCA1/2) mutations constitute some of the most common, targetable and clinically important markers in breast cancer. Individuals who harbor BRCA1/2 mutation have a substantially increased risk of developing a multitude of cancers, including breast and ovarian cancer. Early detection of these mutations leads to genetic and prevention counselling. The National
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Erfani, Seyedezahra Shadi, Yvette Blount, and Babak Abedin. "The influence of health-specific social network site use on the psychological well-being of cancer-affected people." Journal of the American Medical Informatics Association 23, no. 3 (2016): 467–76. http://dx.doi.org/10.1093/jamia/ocv170.

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Objective We aimed to explore and examine how and in what ways the use of social network sites (SNSs) can improve health outcomes, specifically better psychological well-being, for cancer-affected people. Methods Qualitative semi-structured interviews were conducted with users of the Ovarian Cancer Australia Facebook page (OCA Facebook), the exemplar SNS used in this study. Twenty-five women affected by ovarian cancer who were users of OCA Facebook were interviewed. A multi-theory perspective was employed to interpret the data. Results Most of the study participants used OCA Facebook daily. So
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Kroenke, Candyce H., Laura D. Kubzansky, Eva S. Schernhammer, Michelle D. Holmes, and Ichiro Kawachi. "Social Networks, Social Support, and Survival After Breast Cancer Diagnosis." Journal of Clinical Oncology 24, no. 7 (2006): 1105–11. http://dx.doi.org/10.1200/jco.2005.04.2846.

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Purpose We prospectively examined social ties and survival after breast cancer diagnosis. Patients and Methods Participants included 2,835 women from the Nurses' Health Study who were diagnosed with stages 1 to 4 breast cancer between 1992 and 2002. Of these women, 224 deaths (107 of these related to breast cancer) accrued to the year 2004. Social networks were assessed in 1992, 1996, and 2000 with the Berkman-Syme Social Networks Index. Social support was assessed in 1992 and 2000 as the presence and availability of a confidant. Cox proportional hazards models were used in prospective analyse
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Fukui, Satomi. "Social Support Networks of Middle-aged Cancer Patients:." Journal of Japan Academy of Nursing Science 22, no. 1 (2002): 33–43. http://dx.doi.org/10.5630/jans1981.22.1_33.

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Mohammadzadeh, Zeinab, Somayeh Davoodi, and Marjan Ghazisaeidi. "Online Social Networks - Opportunities for Empowering Cancer Patients." Asian Pacific Journal of Cancer Prevention 17, no. 3 (2016): 933–36. http://dx.doi.org/10.7314/apjcp.2016.17.3.933.

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Beasley, Jeannette M., Polly A. Newcomb, Amy Trentham-Dietz, et al. "Social networks and survival after breast cancer diagnosis." Journal of Cancer Survivorship 4, no. 4 (2010): 372–80. http://dx.doi.org/10.1007/s11764-010-0139-5.

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Kroenke, Candyce H., Yvonne L. Michael, Elizabeth M. Poole, et al. "Postdiagnosis social networks and breast cancer mortality in the After Breast Cancer Pooling Project." Cancer 123, no. 7 (2016): 1228–37. http://dx.doi.org/10.1002/cncr.30440.

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Blood, Gordon W., Kathleen C. Simpson, Susan C. Raimondi, Mary Dineen, Susan M. Kauffman, and Kimberly A. Stagaard. "Social Support in Laryngeal Cancer Survivors." American Journal of Speech-Language Pathology 3, no. 1 (1994): 37–44. http://dx.doi.org/10.1044/1058-0360.0301.37.

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Patients who had laryngectomies were grouped according to adjustment scales into "good copers" and "poorer copers." More than 70% of the laryngeal cancer survivors were well adjusted and classified as "good copers." Three social support scales were administered and revealed that "good copers" perceived themselves as having better quality networks and more functional support. A subjective self-evaluation of the subjects’ voices revealed a relationship between perceived voice quality, adjustment, and perceived social support. Rehabilitation for some patients with laryngectomies may need to inclu
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Suarez, Lucina, Amelie G. Ramirez, Roberto Villarreal, et al. "Social networks and cancer screening in four U.S. Hispanic groups." American Journal of Preventive Medicine 19, no. 1 (2000): 47–52. http://dx.doi.org/10.1016/s0749-3797(00)00155-0.

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Suarez, Ll, Ag Ramirez, R. Villarreal, et al. "Social Networks and Cancer Screening in Four U.S. Hispanic Groups." Journal of Lower Genital Tract Disease 5, no. 1 (2001): 59–60. http://dx.doi.org/10.1046/j.1526-0976.2001.51012-10.x.

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15

Pinquart, Martin, and Paul R. Duberstein. "Associations of social networks with cancer mortality: A meta-analysis." Critical Reviews in Oncology/Hematology 75, no. 2 (2010): 122–37. http://dx.doi.org/10.1016/j.critrevonc.2009.06.003.

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Kroenke, Candyce H., Marilyn L. Kwan, Alfred I. Neugut, et al. "Social networks, social support mechanisms, and quality of life after breast cancer diagnosis." Breast Cancer Research and Treatment 139, no. 2 (2013): 515–27. http://dx.doi.org/10.1007/s10549-013-2477-2.

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17

Himelboim, Itai, and Jeong Yeob Han. "Cancer Talk on Twitter: Community Structure and Information Sources in Breast and Prostate Cancer Social Networks." Journal of Health Communication 19, no. 2 (2013): 210–25. http://dx.doi.org/10.1080/10810730.2013.811321.

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Kruze, Polina A., Ekaterina V. Verenikina, Vera P. Nikitina, et al. "Post-treatment clinical status of patients with cervical cancer." Journal of Clinical Oncology 37, no. 15_suppl (2019): e17007-e17007. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e17007.

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e17007 Background: Extended hysterectomy with fixation of preserved ovaries to the round ligaments of the uterus and subsequent transposition of the gonads from the irradiation area have already become a routine procedure in the treatment of cervical cancer in young women in order to avoid castration syndrome. The aim of the study was to analyze clinical characteristics of patients with cervical cancer 10 years after treatment. Methods: Clinical and hormonal status of 216 patients with stage Ib cervical cancer after complex treatment was studied. The majority of women (160 patients, 74%) remai
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Nikfarjam, Azadeh, Julia D. Ransohoff, Alison Callahan, Vladimir Polony, and Nigam H. Shah. "Profiling off-label prescriptions in cancer treatment using social health networks." JAMIA Open 2, no. 3 (2019): 301–5. http://dx.doi.org/10.1093/jamiaopen/ooz025.

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Abstract Objectives To investigate using patient posts in social media as a resource to profile off-label prescriptions of cancer drugs. Methods We analyzed patient posts from the Inspire health forums (www.inspire.com) and extracted mentions of cancer drugs from the 14 most active cancer-type specific support groups. To quantify drug-disease associations, we calculated information component scores from the frequency of posts in each cancer-specific group with mentions of a given drug. We evaluated the results against three sources: manual review, Wolters-Kluwer Medi-span, and Truven MarketSca
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Honda, Keiko, and Marjorie Kagawa-Singer. "Cognitive Mediators Linking Social Support Networks to Colorectal Cancer Screening Adherence." Journal of Behavioral Medicine 29, no. 5 (2006): 449–60. http://dx.doi.org/10.1007/s10865-006-9068-1.

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Ginter, Amanda C., and Bonnie Braun. "Social support needs of breast cancer patients without partners." Journal of Social and Personal Relationships 36, no. 1 (2017): 43–62. http://dx.doi.org/10.1177/0265407517718390.

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This qualitative study investigated how women without partners navigate social support challenges following their breast cancer diagnoses. In-depth interviews were used for collection. Twenty women without partners discussed the supportive and unsupportive roles their relatives, peers, and colleagues played during diagnoses and treatment. Family systems theory guided the construction of interview questions. Thematic analysis uncovered the following themes: reactions to diagnosis, managing social networks, negotiating appropriate forms of social support with loved ones, and expanding social net
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Kroenke, Candyce H., Yvonne Michael, Hilary Tindle, et al. "Social networks, social support and burden in relationships, and mortality after breast cancer diagnosis." Breast Cancer Research and Treatment 133, no. 1 (2012): 375–85. http://dx.doi.org/10.1007/s10549-012-1962-3.

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23

Silantieva, V. G., and A. V. Kozhokina. "Cancer Narratives in Instagram: Self-presentation of Cancer Patients." Discourse 6, no. 6 (2021): 99–112. http://dx.doi.org/10.32603/2412-8562-2020-6-6-99-112.

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Introduction. The paper aims to establish whether cancer discourse can alter when being communicated via social networks. We supposed that every platform has intrinsic characteristics which might affect the way certain topics are being delivered. Because there has been much criticism from the cancer community about the media representation, we decided to observe what might be called an alternative discourse of cancer of social networks. Therefore, we chose to review Instagram accounts of two cancer influencers, who aspire to revise existing stereotypes about people with an incurable disease.Me
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Peterson, Susan K., Larkin Strong, Susan Schembre, et al. "Health4Families: An intervention to improve weight and health behaviors in families with hereditary breast/ovarian cancer or Lynch syndrome." Journal of Clinical Oncology 35, no. 15_suppl (2017): 1555. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.1555.

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1555 Background: Physical activity, diet, and healthy weight may reduce cancer risk in hereditary breast and ovarian cancer (HBOC) and Lynch syndrome (LS) families. Evidence-based programs to help affected families make these behavioral changes are lacking. We evaluated data from a 16-week family-centered lifestyle intervention trial for individuals with HBOC or LS germline gene mutations and their relatives. Methods: Index cases with HBOC- or LS-associated mutations were recruited from an institutional registry and advocacy organizations, and identified relatives to participate with them in t
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Shinde, Pramod, Loïc Marrec, Aparna Rai, et al. "Symmetry in cancer networks identified: Proposal for multicancer biomarkers." Network Science 7, no. 4 (2019): 541–55. http://dx.doi.org/10.1017/nws.2019.55.

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AbstractOne of the most challenging problems in biomedicine and genomics is the identification of disease biomarkers. In this study, proteomics data from seven major cancers were used to construct two weighted protein–protein interaction networks, i.e., one for the normal and another for the cancer conditions. We developed rigorous, yet mathematically simple, methodology based on the degeneracy at –1 eigenvalues to identify structural symmetry or motif structures in network. Utilizing eigenvectors corresponding to degenerate eigenvalues in the weighted adjacency matrix, we identified structura
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Balfe, M., K. Keohane, K. O'Brien, and L. Sharp. "Social networks, social support and social negativity: A qualitative study of head and neck cancer caregivers' experiences." European Journal of Cancer Care 26, no. 6 (2016): e12619. http://dx.doi.org/10.1111/ecc.12619.

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Michael, Yvonne L., Lisa F. Berkman, Graham A. Colditz, Michelle D. Holmes, and Ichiro Kawachi. "Social networks and health-related quality of life in breast cancer survivors." Journal of Psychosomatic Research 52, no. 5 (2002): 285–93. http://dx.doi.org/10.1016/s0022-3999(01)00270-7.

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Ben-Aharon, Irit, Tal Goshen-Lago, Elisa Fontana, et al. "Social networks for young patients with cancer: the time for system agility." Lancet Oncology 20, no. 6 (2019): 765. http://dx.doi.org/10.1016/s1470-2045(19)30346-8.

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Kim, Eunkyung, Jiran Hou, Jeong Yeob Han, and Itai Himelboim. "Predicting Retweeting Behavior on Breast Cancer Social Networks: Network and Content Characteristics." Journal of Health Communication 21, no. 4 (2016): 479–86. http://dx.doi.org/10.1080/10810730.2015.1103326.

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Pollack, Craig Evan, Gary Weissman, Justin Bekelman, Kaijun Liao, and Katrina Armstrong. "Physician Social Networks and Variation in Prostate Cancer Treatment in Three Cities." Health Services Research 47, no. 1pt2 (2011): 380–403. http://dx.doi.org/10.1111/j.1475-6773.2011.01331.x.

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Bastian, Lori A., Laura J. Fish, Bercedis L. Peterson, et al. "Proactive recruitment of cancer patients' social networks into a smoking cessation trial." Contemporary Clinical Trials 32, no. 4 (2011): 498–504. http://dx.doi.org/10.1016/j.cct.2011.03.006.

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Park, Jeong-Yeol. "Practical issues and research trends of oncofertility in gynecologic cancer." Korean Journal of Women Health Nursing 27, no. 2 (2021): 64–68. http://dx.doi.org/10.4069/kjwhn.2021.05.31.

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In recent years, there has been a greater impetus toward preserving fertility in young women with gynecologic cancer. This is related to the increasing incidence of gynecologic cancer in young women and to the social phenomenon in which women, on average, are getting married and having their first child at an older age. For women with early gynecologic cancer, treatment strategies can be undertaken to preserve the uterus and part of the ovaries, which can be used to preserve fertility. For women with advanced gynecologic cancer, treatment strategies using assisted reproductive technology are t
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Kroenke, Candyce H., Charles Quesenberry, Marilyn L. Kwan, Carol Sweeney, Adrienne Castillo, and Bette J. Caan. "Social networks, social support, and burden in relationships, and mortality after breast cancer diagnosis in the Life After Breast Cancer Epidemiology (LACE) Study." Breast Cancer Research and Treatment 137, no. 1 (2012): 261–71. http://dx.doi.org/10.1007/s10549-012-2253-8.

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Sjölander, Catarina, and Carina Berterö. "The significance of social support and social networks among newly diagnosed lung cancer patients in Sweden." Nursing & Health Sciences 10, no. 3 (2008): 182–87. http://dx.doi.org/10.1111/j.1442-2018.2008.00395.x.

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Cutrona, Sarah L., Joann Wagner, Douglas W. Roblin, et al. "E-mail to Promote Colorectal Cancer Screening Within Social Networks: Acceptability and Content." Journal of Health Communication 20, no. 5 (2015): 589–98. http://dx.doi.org/10.1080/10810730.2015.1012238.

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Lee, Yeon-Shim, Catherine E. Burnette, Jessica Liddell, and Soonhee Roh. "Understanding the social and community support networks of American Indian women cancer survivors." Journal of Evidence-Informed Social Work 15, no. 5 (2018): 481–93. http://dx.doi.org/10.1080/23761407.2018.1455162.

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Sapp, Amy L., Amy Trentham-Dietz, Polly A. Newcomb, John M. Hampton, Carol M. Moinpour, and Patrick L. Remington. "Social networks and quality of life among female long-term colorectal cancer survivors." Cancer 98, no. 8 (2003): 1749–58. http://dx.doi.org/10.1002/cncr.11717.

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38

Pollack, Craig Evan, Archana Radhakrishnan, Andrew M. Parker, Kala Visvanathan, and Sarah A. Nowak. "Are physicians social networks linked to breast cancer screening recommendations for older adults?" Journal of Clinical Oncology 35, no. 15_suppl (2017): 6550. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.6550.

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6550 Background: Physicians’ prior experiences caring for patients with breast cancer along with experiences in their social networks including family members and friends may be a key and understudied driver of recommendations for cancer screening. Methods: The Breast Cancer Social Networks study (CanSNET) is a national, mailed survey of 2,000 primary care providers (PCPs) randomly selected from the American Medical Association Masterfile. PCPs were asked to provide detailed characteristics on up to 2 women they know who have been diagnosed with breast cancer and “whose cancer, broadly speakin
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Suarez, L., L. Lloyd, N. Weiss, T. Rainbolt, and L. Pulley. "Effect of Social Networks on Cancer-Screening Behavior of Older Mexican-American Women." JNCI Journal of the National Cancer Institute 86, no. 10 (1994): 775–79. http://dx.doi.org/10.1093/jnci/86.10.775.

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Lazard, Allison J., Meredith K. Reffner Collins, Ashley Hedrick, et al. "Using Social Media for Peer-to-Peer Cancer Support: Interviews With Young Adults With Cancer." JMIR Cancer 7, no. 3 (2021): e28234. http://dx.doi.org/10.2196/28234.

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Background Web-based social support can address social isolation and unmet support needs among young adults with cancer (aged 18-39 years). Given that 94% of young adults own and use smartphones, social media can offer personalized, accessible social support among peers with cancer. Objective This study aims to examine the specific benefits, downsides, and topics of social support via social media among young adults with cancer. Methods We conducted semistructured interviews with young adults with cancer, aged between 18 and 39 years, who were receiving treatment or had completed treatment for
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Crookes, Danielle M., Rachel C. Shelton, Parisa Tehranifar, et al. "Social networks and social support for healthy eating among Latina breast cancer survivors: implications for social and behavioral interventions." Journal of Cancer Survivorship 10, no. 2 (2015): 291–301. http://dx.doi.org/10.1007/s11764-015-0475-6.

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Perez, Lilli Ann, Lisalinda Natividad, William Chung, Robert L. Haddock, Lari Wenzel, and F. Allan Hubbell. "Social Support for Chamorro Breast Cancer Survivors on Guam." Californian Journal of Health Promotion 8, SI (2010): 63–72. http://dx.doi.org/10.32398/cjhp.v8isi.2043.

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Purpose: The purpose of this study was to assess the types of social support used by Chamorro (indigenous) breast cancer survivors on Guam. Methods: We assessed social support use among 25 self-reported Chamorro women with a diagnosis of breast cancer through interviews and construction of genograms and ecomaps -pictorial displays of the women's family relationships, medical history, and their social networks. Results: The mean age of the participants was 54.5 years. The average number of years since the diagnosis of breast cancer was 7.8 years. Respondents indicated that the nuclear family wa
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Hale, Brent J., Ryan Collins, and Danielle K. Kilgo. "Posting About Cancer: Predicting Social Support in Imgur Comments." Social Media + Society 6, no. 4 (2020): 205630512096520. http://dx.doi.org/10.1177/2056305120965209.

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People who are affected by cancer can benefit greatly from social support and digital social networks, though our understanding of online support is primarily founded in dominant platforms like Facebook. In addition, while previous scholarship indicates that social support is available online, little research has examined predictors of support provision. A content analysis was performed to examine the relationship between narrative features in Imgur posts and social support in comments. Imgur ( Imgur.com ) is a social media site and image-hosting platform, amassing over 250 million monthly vis
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Hauken, May Aasebø, Kari Dyregrov, and Mette Senneseth. "Characteristics of the social networks of families living with parental cancer and support provided." Journal of Clinical Nursing 28, no. 15-16 (2019): 3021–32. http://dx.doi.org/10.1111/jocn.14859.

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Mirabolghasemi, Marva, Noorminshah A. Iahad, and Suraya Miskon. "Exploring factors that affect on cancer patients performance in social networks for informational support." International Journal of Business Information Systems 20, no. 3 (2015): 348. http://dx.doi.org/10.1504/ijbis.2015.072253.

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Howard-Jones, G. H., A. Richardson, I. Vassilev, D. Fenlon, and S. Ewings. "The influence of social networks on cancer survivors’ self-management support: A survey analysis." Annals of Oncology 29 (October 2018): viii689. http://dx.doi.org/10.1093/annonc/mdy341.026.

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47

Payne, Nicolette, Elizabeth Palmer Kelly, and Timothy M. Pawlik. "Assessing structure and characteristics of social networks among cancer survivors: impact on general health." Supportive Care in Cancer 27, no. 8 (2019): 3045–51. http://dx.doi.org/10.1007/s00520-018-4620-4.

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48

Krok-Schoen, Jessica L., Angela L. Palmer-Wackerly, Phokeng M. Dailey, Julianne C. Wojno, and Janice L. Krieger. "Age Differences in Cancer Treatment Decision Making and Social Support." Journal of Aging and Health 29, no. 2 (2016): 187–205. http://dx.doi.org/10.1177/0898264316628488.

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Objective: The aim of this study was to examine the decision-making (DM) styles of younger (18-39 years), middle-aged (40-59 years), and older (≥60 years) cancer survivors, the type and role of social support, and patient satisfaction with cancer treatment DM. Method: Adult cancer survivors ( N = 604) were surveyed using Qualtrics online software. Results: Older adults reported significantly lower influence of support on DM than younger adults. The most common DM style for the age groups was collaborative DM with their doctors. Younger age was a significant predictor of independent ( p < .0
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Pak, R., and D. Kaidarova. "Initial Study of Sexual Function Among Cervical Cancer Survivors in Almaty, Kazakhstan." Journal of Global Oncology 4, Supplement 2 (2018): 103s. http://dx.doi.org/10.1200/jgo.18.50400.

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Background: There were not any evaluation of sexual dysfunction of cervix cancer patients in Almaty, Kazakhstan, to date. The study of 58 CC patients is an attempt to start filling this gap and to develop recommendations for the treatment of this kind of patients. Aim: The objective of this study was to examine sexual function of cervical cancer (CC) survivors receded different treatment approaches. Methods: 58 women subjected to CC treatment of at least 1 year in the past were examined at the initial stage of the research. The examined women were split into 5 groups by treatment methods: coni
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Cambrosio, Alberto, Pascale Bourret, Peter Keating, and Nicole Nelson. "Opening the Regulatory Black Box of Clinical Cancer Research: Transnational Expertise Networks and “Disruptive” Technologies." Minerva 55, no. 2 (2017): 161–85. http://dx.doi.org/10.1007/s11024-017-9324-2.

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