Social Networks, Social Support, and Survival After Breast Cancer Diagnosis

Kroenke, Candyce H.; Kubzansky, Laura D.; Schernhammer, Eva; Holmes, Michelle D.; Kawachi, Ichiro

doi:10.1200/jco.2005.04.2846

Cited by 598 publications

(470 citation statements)

References 24 publications

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“…Compared to those who were socially integrated before their diagnosis, women who were socially isolated had a 66% greater risk of death from all causes (HR = 1.66; 95% CI, 1.04-2.65) and a 2-fold greater risk of death from breast cancer (HR = 2.14; 95% CI, 1.11-4.12). 43 • In a study that examined the relationship of psychosocial factors to mortality in outpatients with heart failure, 153 patients from 20 Sudden Cardiac Death in Heart Failure Trial sites were followed for a mean duration of 23.6 months. Regression analysis revealed that depression, anxiety, and social isolation separately predicted mortality.…”

Section: Detrimental Effects Of Social Isolation On Healthmentioning

confidence: 99%

Loneliness and Social Isolation: Risk Factors Long Overdue for Surveillance

Alspach¹

2013

Critical Care Nurse

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Section: Detrimental Effects Of Social Isolation On Healthmentioning

confidence: 99%

Loneliness and Social Isolation: Risk Factors Long Overdue for Surveillance

Alspach¹

2013

Critical Care Nurse

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“…The potentially significant impact that social support can have on breast cancer detection, treatment, and survival has been well described [45][46][47]. Married women are also more likely to participate in breast cancer screening compared to their unmarried counterparts [48][49][50].…”

Section: Discussionmentioning

confidence: 99%

Survival Analysis of Women with Triple Negative Breast Cancer Using EMRLinked Cancer Registry Data in Florida

Xiao¹

2017

Journal of Women’s Health and Gynecology

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Background: Triple negative breast cancer (TNBC) is an aggressive tumor phenotype which has limited therapeutic options. Epidemiological studies suggested a number of risk factors that are associated with the prognosis of TNBC. Survival difference exists among patients diagnosed with TNBC after adjusting these risk factors. This study aims to investigate the survival of women with triple negative phenotype breast cancer (BC).

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“…For instance, all other things being equal, the major predictors of breast cancer survival in humans are measures of social support-contributing an astonishing 50-fold change in risk when combined 94 . The same is true of spontaneous breast cancer in rats: singly housed rats show an 84-fold increase in tumor burden over those housed in groups, and increased risk for more invasive forms of breast cancer, predicted by elevated anxiety and hypothalamic-pituitary-adrenal (HPA) axis sensitization 95 .…”

Section: What Features Of Background Methodology and Husbandry Are Igmentioning

confidence: 99%

“…Thus, q = given that the observed result is significant, what is the chance that it is a false positive? In the situations described above where the null hypothesis is lacking, or many tests are used to ask the same question, as when many different measures of anxiety are taken in a phenotyping screen, each with multiple variables, and any significant result would be believed, the q-value is the correct test statistic 17,94 . This is particularly true for an unexpected result.…”

Section: What Principles Of Experimental Design and Statistics Are Igmentioning

confidence: 99%

Introducing Therioepistemology: the study of how knowledge is gained from animal research

et al. 2017

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We are honored to write the opening article of this focus issue of Lab Animal. This focus issue could not occur at a more important time for biomedical research and the use of animals in science in general. The progressive worsening of success rates in human trials (currently 1 in 9 drugs entering human trials will succeed) 1-4 , combined with the explosion of interest in the reproducibility crisis 5-8 and the recognition that most drugs fail in human trials due to insufficient efficacy 1,2,4 , has led to a growing suspicion that the failure of translation from animal work to human outcomes may in some way reflect issues in animal research itself 5-19 -after all, every drug that fails in humans "worked" in an animal model. Indeed pharmaceutical companies continue to disinvest in internal animal R&D, a trend begun in the last decade, passing on the cost and risk to academia and startups 5,20 . Even this approach is not foolproof as pharmaceutical companies often cannot replicate the results of published work from academia 5,8,13 . Accordingly, there is a growing trend to focus on human, not animal, work for basic discovery 17 .Discarding animal research entirely is not the answer. When properly used, animal models have incredible value, not least the ability to follow biomarkers from birth to disease onset in a year or less (in the case of mice), which is impossible in humans 17,18 . There are patterns and principles that can help us identify models and results that are more or less likely to translate, and there are also easily realized, simple changes in the execution of animal work that will inherently improve translation [16][17][18] . This isn't a new concept; looking back over the last 10-15 years we can see many authors have been candid about the merits, strengths, weaknesses, reproducibility, and translatability of various animal models 1,2,[4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] . Our goal with this article is to unite the common themes in this broader emerging literature and this special issue.Thus, the central point is that we (i.e., refs. 17,18,26-28,39,41) do not represent a voice in the wilderness, but one voice in a chorus and that this emerging literature 1,2,[4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40]42,43 reflects a nascent discipline which can be codified as the study of how knowledge is gained from animal research. We propose the title "Therioepistemology" This focus issue of Lab Animal coincides with a tipping point in biomedical research. For the first time, the scale of the reproducibility and translatability crisis is widely understood beyond the small cadre of researchers who have been studying it and the pharmaceutical and biotech companies who have been living it. Here we argue that an emerging literature, including the papers in this focus issue, has begun to congeal around a set of recurring themes, which themselves represent a paradigm shift. This paradigm shift can be c...

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Social Networks, Social Support, and Survival After Breast Cancer Diagnosis

Abstract: Socially isolated women had an elevated risk of mortality after a diagnosis of breast cancer, likely because of a lack of access to care, specifically beneficial caregiving from friends, relatives, and adult children.

Cited by 598 publications

References 24 publications

Loneliness and Social Isolation: Risk Factors Long Overdue for Surveillance

Loneliness and Social Isolation: Risk Factors Long Overdue for Surveillance

Survival Analysis of Women with Triple Negative Breast Cancer Using EMRLinked Cancer Registry Data in Florida

Introducing Therioepistemology: the study of how knowledge is gained from animal research

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