| Literature DB >> 30971201 |
Jennifer Gass1,2, Sunny Mitchell3, Michael Hanna4.
Abstract
BACKGROUND: The surgical treatment of breast cancer has been associated with negative consequences for patients' body image, sexual functioning, mental health, and social adjustment. Recent advances in the surgical approach to breast cancer allow the oncologic surgeon to safely optimize cosmetic outcomes. Little is known about the possible relevance of surgical scars. The aim of this research was to gather the perspective of breast cancer survivors themselves on the issue of surgical scars and their negative impact on survivorship.Entities:
Keywords: Breast cancer; Lumpectomy; Mastectomy; Patient survey; Scars; Surgery; Survivorship
Mesh:
Year: 2019 PMID: 30971201 PMCID: PMC6458748 DOI: 10.1186/s12885-019-5553-0
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Demographic and Healthcare Characteristics of the Study Sample. In the rows, the demographic characteristics are presented in bold, subtotals of various answer options (if any) are presented in italics, and original answer options are presented in smaller roman type. The results presented are the percentage of the total for that study group (lumpectomy only n = 215, mastectomy only n = 140). For the sake of reading simplicity, we do not also present the actual number of subjects, but they are available upon request. Due to rounding off, the percentages may not always add up exactly to 100% (or other indicated subtotals)
| Lumpectomy | Mastectomy | |
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| Age | ||
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| Race | ||
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| White or Caucasian | 85 | 81 |
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| African American | 10 | 13 |
| Asian | 1 | 4 |
| Native American | 0 | 2 |
| Other | 3 | 0 |
| Ethnicity | ||
| Not Hispanic, Latino, or Spanish Descent | 82 | 91 |
| Hispanic, Latino, or Spanish Descent | 18 | 9 |
| Education | ||
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| Graduate or post-graduate work | 16 | 10 |
| Graduated from college | 53 | 46 |
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| Some College | 16 | 20 |
| Technical or vocational school | 2 | 3 |
| Graduated from high school | 11 | 20 |
| Some high school | 1 | 1 |
| Grade school | 0 | 0 |
| Employment | ||
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| Work full-time | 67 | 61 |
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| Work part-time | 7 | 9 |
| Unemployed | 5 | 2 |
| Retired | 14 | 19 |
| Stay-at-home / do not work | 7 | 9 |
| Income (total household income for last year) a | ||
| Less than $35,000 | 13 | 13 |
| $35,000 – $49,999 | 20 | 19 |
| $50,000 – $74,999 | 19 | 30 |
| $75,000 – $99,999 | 15 | 25 |
| $100,000 – $149,999 | 18 | 11 |
| $150,000 or more | 15 | 2 |
| Residential Area Type | ||
| City / urban area | 54 | 39 |
| Suburbs | 39 | 44 |
| Rural area (e.g. very small town or farm) | 7 | 17 |
| Marital Status | ||
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| Married or living as married | 69 | 55 |
| In a relationship | 5 | 3 |
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| Single | 14 | 28 |
| Separated | 1 | 2 |
| Divorced | 4 | 7 |
| Widowed | 7 | 5 |
| Parental Status | ||
| No children under 18 living in her home | 45 | 66 |
| Has child under 18 living in her home | 55 | 34 |
| Covered by Health Insurance or Health Care Plan | ||
| Yes | 95 | 98 |
| No | 5 | 2 |
| Breast Cancer Treatments Undergone | ||
| Chemotherapy | 38 | 51 |
| Radiation therapy | 46 | 37 |
| Hormone therapy | 19 | 19 |
| Targeted therapy | 12 | 9 |
| Bone-directed therapy | 1 | 1 |
a) To put the income results into context: the US government reports that the median household income in 2015 was $55,775, and the weighted average poverty threshold was $12,082 for a one-person household, $15,391 for a two-person household, $24,036 for a four-person household in which two were children under 18, and $35,473 for a seven-person household in which five were children under 18
https://www.census.gov/content/dam/Census/library/publications/2016/acs/acsbr15-02.pdf
http://www.census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-thresholds.html
Fig. 1Stacked horizontal bar charts for the results to Q15 (top left), Q16 (top right), Q13 (bottom left), and Q14 (bottom right). Note 1: For Q15, the bootstrappped 95%CI for the answer “agree strongly” was 18–29% for lumpectomy-only patients and 31–46% for mastectomy-only patients. For Q16, the bootstrappped 95%CI for the answer “agree strongly” was 17–28% for lumpectomy-only patients and 32–49% for mastectomy-only patients. For Q13, the bootstrappped 95%CI for the answer “all the time” was 18–28% for lumpectomy-only patients and 24–39% for mastectomy-only patients. For Q14, the bootstrappped 95%CI for the answer “all the time” was 16–27% for lumpectomy-only patients and 23–39% for mastectomy-only patients. Note 2: The two survey questions in the top row may seem to be very similar, and the overall distribution of answers may also seem very similar. But these two survey items addressed different aspects (body image vs. intimacy), and a not-negligible portion of survey participants gave different answers on these two items. Among the lumpectomy-only patients, 135 (63%) gave the same answer to both statements; 42 (20%) either agreed to both or disagreed to both but with different strengths; and 38 (18%) agreed with one statement and disagreed with the other. Among the mastectomy-only patients, 99 (71%) gave the same answer to both statements; 24 (17%) either agreed to both or disagreed to both but with different strengths; and 17 (12%) agreed with one statement and disagreed with the other
Descriptive Results for Agreement / Disagreement with the Main Outcome, “I do not like the location of my surgical scar” (Q12). This table presents the basic descriptive results to this survey question. In the left-hand column, study groups are written in bold; beneath them are the answer options of the survey. The further columns present the n, the %, and the bootstrapped 95% Confidence Interval of the % of respondents. [Recall: in simple terms, the 95% CI represents how much the results might have been different in other hypothetical study samples. If we were to repeat this survey 1000 times in different study samples drawn from the same population, then the results of 950 of those surveys would be somewhere within the 95% CI. The other 50 surveys would be outside the 95% CI (25 would be even lower and the other 25 would be even higher). So for example: in our survey, 20% of the lumpectomy-only patients agreed strongly. If we repeated this survey 1000 times with different women drawn from the same population, we would expect that the results from 950 of those 1000 surveys would be somewhere between 15 and 25% of the lumpectomy-only patients agreeing strongly, as shown in the table. Twenty-five surveys would be even less than 15%, and twenty-five surveys would be even higher than 25%. Expressed another way, we might say that this specific result – that 20% of lumpectomy-only patients agreed strongly – has a margin of error of ±5% of the respondents.]
| n | % | 95% CI | |
|---|---|---|---|
| Lumpectomy Only ( | |||
| Agree strongly | 43 | 20 | 15–25 |
| Agree somewhat | 94 | 44 | 38–50 |
| Disagree somewhat | 46 | 21 | 16–27 |
| Disagree strongly | 32 | 15 | 11–21 |
| Mastectomy Only ( | |||
| Agree strongly | 46 | 33 | 24–41 |
| Agree somewhat | 47 | 34 | 26–42 |
| Disagree somewhat | 33 | 24 | 16–31 |
| Disagree strongly | 14 | 10 | 5–15 |
Results of the regression analysis for strong agreement with the statement, “I do not like the location of my surgical scar” (Q12). In the left-hand column, study groups are written in bold; beneath them are all the independent predictor variables tested in the model (in order of decreasing significance). Predictor variables in gray were clearly not statistically significant (p ≥ 0.1). The further columns present the odds ratio, the 95%CI of the OR, and the p-value. [Recall the following about odds ratios: a) an OR of 1.0 would mean that the predictor variable had no effect on the outcome variable; b) an OR of 2.0 would mean that if the predictor variable was present (or for each unit of increase for ordinal or continuous variables, e.g. each year for age), then there were double the odds for the outcome variable of strongly agreeing with the statement of not liking the location of the scar; c) an OR of 0.5 would mean that if the predictor variable was present (or for each unit of increase for ordinal or continuous variables, e.g. each year for age), then there were half the odds of the outcome variable of strongly agreeing with the statement of not liking the location of the scar. So for example, among the patients who had mastectomy only, college graduates had 0.3 times lower odds of strongly agreeing with the statement, “I do not like the location of my scar.” It is important to keep in mind that the OR for a continuous variable, such as age, is for each increase of one unit (here, a year of age) and cumulative. So for example, among lumpectomy-only patients, women who were 10 years older (than another woman of whatever age) would have an OR of (0.96)10 = 0.66, and women who were 25 years older would have an OR of (0.96)25 = 0.36; among mastectomy-only patients, women who were 10 years older would have an OR of (0.97)10 = 0.72, and women who were 25 years older would have an OR of (0.97)25 = 0.45.]
| OR | lower | upper | p | |
|---|---|---|---|---|
| Lumpectomy Only ( | ||||
| Age (years) | 0.96 | 0.94 | 0.99 | 0.010 |
| Significant Other | 2.3 | 0.86 | 6.3 | 0.098 |
| Income (6 brackets) | 0.9 | 0.7 | 1.2 | 0.5 |
| College Graduate | 0.7 | 0.3 | 1.8 | 0.5 |
| Mastectomy Only ( | ||||
| College Graduate | 0.3 | 0.1 | 0.7 | 0.006 |
| Age (years) | 0.97 | 0.94 | 0.999 | 0.04 |
| Income (6 brackets) | 0.8 | 0.6 | 1.2 | 0.4 |
| Significant Other | 1.2 | 0.6 | 2.7 | 0.6 |
Note: The regression model fit the lumpectomy data well according to Pearson chi-Square (203, p = 0.6), likelihood ratio (10.9, p = 0.03), and Hosmer-Lemeshow (6.5, p = 0.6). The regression model fit the mastectomy data well according to Pearson chi-Square (138, p = 0.4) and likelihood ratio (14.7, p = 0.005) but was perhaps a marginally poor fit according to Hosmer-Lemeshow (15.2, p = 0.056)
Fig. 2Response to the Survey Question on Informing about Surgical Options. The top row presents the results for patients who reported lumpectomy only; the bottom row presents results for patients who reported mastectomy only. The left side presents pie charts of how many women reported that their physician told them about the surgical option in question. Patients who reported that they were not told about that surgical option were then asked if they would have considered it, if they had been told. The right side presents a stacked bar chart of the answers of those subsamples. It should be kept in mind that some of the women who did not hear about these options may simply have not been indicated for them, or may have had their surgery before the option became widely available