Abstract
Background
Many women experience a breast lump. Clinical guidelines suggest that a normal mammogram result alone is not adequate to exclude a diagnosis of cancer.
Objective
To examine the characteristics of women with a breast lump and a normal mammogram that were associated with receiving further evaluation, and to examine cancer outcomes.
Design
Observational cohort.
Participants
Women aged 35 to 70 years who participated in a population-based mammography registry and who did not have a history of breast cancer noted at the time of their mammogram that they had a breast lump, and had a “normal” (Breast Imaging Reporting and Data System 1 or 2) mammogram result (n=771).
Measurements
Telephone survey performed 6 months after the mammogram to ascertain information about evaluation. Cancer outcomes within 12 months of the index mammogram were confirmed through linkage with a cancer registry.
Results
Only 56.9% of women reported receiving an adequate evaluation for their breast lump, including a subsequent clinical breast exam, a visit to a breast specialist, an ultrasound, a biopsy, or aspiration. Latinas were less likely than white women to have received adequate evaluation, as were obese women compared with normal-weight women, and uninsured women compared with women with insurance. Among women with at least 12 months of follow-up, 1.4% were diagnosed with cancer.
Conclusions
Many women do not receive adequate evaluation for a recent breast lump. Interventions should be designed to improve the follow-up of women with this common clinical problem.
Keywords: breast cancer, mammogram quality
Many women discover a breast lump that prompts them to seek medical attention.1 As approximately 10% of breast lumps ultimately lead to a diagnosis of breast cancer,1,2 it is important for women with a breast lump to receive appropriate evaluation. While mammography is commonly part of the evaluation of women with a breast lump, clinical guidelines and reviews suggest that a normal mammogram result alone is not an adequate evaluation, because 15% of women with palpable breast cancer have a normal mammogram result.3,4 These clinical recommendations are also supported by the observation that failure to diagnose breast cancer in a timely manner is a common and costly cause of malpractice claims in the United States.5 The most common claim involves a premenopausal woman with a self-identified breast lump and a normal mammogram result and no further evaluation.6 Despite the existence of clinical guidelines, many women with a breast lump may not receive evaluation beyond mammography.7
The goal of this study was to examine the characteristics of women with a breast lump and a “normal” mammogram result (Breast Imaging Reporting and Data System (BIRADS) 1 or 2)8 that were associated with receiving further evaluation and factors that were associated with the timeliness of evaluation. We hypothesized that women with a single breast lump or risk factors for breast cancer would be more likely to receive further evaluation, whereas women with a history of fibrocystic breast disease (or self-report of multiple lumps) and an average risk of developing breast cancer would be less likely to receive further evaluation. Through linkage with a cancer registry, we also examined the incidence of cancer in this population during the 12 months following the index mammogram.
METHODS
Population
The San Francisco Mammography Registry (SFMR; http://mammography.ucsf.edu/SFMR/) is a population-based registry of women undergoing mammography. It is 1 of 7 registries participating in the National Cancer Institute Breast Cancer Surveillance Consortium.9 At each participating radiology facility, each woman completes a brief, scannable questionnaire at the time of her mammogram, which ascertains information about any breast symptoms experienced during the preceding 3 months, including a “new or unusual breast lump.” Women were eligible for this study if they received a screening or diagnostic mammogram at any of 5 of the 11 SFMR mammography facilities between June 2001 and 2003, did not indicate at the time of their mammogram that they would be unwilling to be contacted in the future for research, were between 35 and 70 years of age, spoke English or Spanish, did not have a history of breast cancer or ductal carcinoma in situ (DCIS), noted at the time of their index mammogram that they had a breast lump within the preceding 3 months, and had a “normal” mammogram result (BIRADS 1 or 2).8 If a woman received more than 1 mammogram during the study period, she was eligible only for the first exam.
Potentially eligible women were sent an informational letter explaining the study and requesting their participation. This mailing included a prestamped “opt-out” postcard that a woman could return if she did not wish to be contacted. If no “opt-out” postcard was returned within 2 weeks of the mailing, attempts were made to contact the woman by telephone. When a woman was reached, verbal informed consent was obtained using a standard script. Women were enrolled between December 2001 and 2003. The research protocol was reviewed and approved by the institutional review boards of the participating institutions.
Assessment
Women who agreed to participate were asked to complete a single telephone survey approximately 6 months after their mammogram (mean 5.9 months). During this interview, women were asked about the characteristics of their breast lump (e.g., single or multiple lumps, location, month and year that the lump was first noted, and whether the lump was first detected by the patients, a health care provider, or someone else). Women were asked about sociodemographic characteristics, breast cancer risk factors, chronic medical conditions, subsequent evaluation, if any, and their understanding of the outcome of their assessment (i.e., received a normal or normal diagnosis, diagnosed with cancer or DCIS, still waiting for further testing).
Variables
Our principal outcome variable was a woman's report of her subsequent evaluation for her breast lump. Women were considered to have received an adequate evaluation if they reported a visit to a breast specialist, a subsequent clinical breast exam by any health care provider, or an ultrasound, fine-needle aspiration, or breast biopsy by the time of the telephone survey. Because some women may have received a fine-needle aspiration or breast biopsy prior to their mammogram, we also included these tests in our definition of “adequate” if they were reported to have occurred during the 2 months preceding the index mammogram. As a secondary outcome, we measured the time between the index mammogram and the first diagnostic procedure noted above among women who had received adequate evaluation. Finally, we examined whether a woman was subsequently diagnosed with cancer through linkage with the Northern California Surveillance Epidemiology and End Results (SEER) program. Cancer incidence was calculated for women who had at least 12 months between their index mammogram and cancer reporting for the facility where they received their mammogram to ensure 95% or greater completeness of cancer reporting.
Independent variables examined included age, race, and ethnicity (categorized as white, African American, Latina, and Asian or other), education (categorized as grades 0 to 12 or technical school; some college; college graduate, or postgraduate), country of birth (foreign- vs US-born), body mass index (categorized as normal if <25 kg/m2, overweight if 25 to 29.9 kg/m2, obese if ≥30 kg/m2),10 marital status (married or living with a partner vs other), insurance status (uninsured vs insured), the number of chronic medical conditions, a history of cancer (nonbreast), and breast health history. Breast health indicators included risk factors for breast cancer, including parity (nulliparous vs parous), prior breast biopsy (yes/no), first-degree family history of breast cancer (yes/no), and whether the woman experienced a single lump or multiple lumps or had a history of fibrocystic disease (yes/no).
Data Analysis
Multivariate logistic regression models were used to examine the associations between the significant independent variables and the receipt of an adequate evaluation. Cox models were used to examine the time to completion of an adequate evaluation. The dependent variable was time to the earliest test that indicated an “adequate” evaluation, measured in months. Women were censored on the date of their interview. These models were estimated with SAS (SAS Institute, Cary, NC) and SUDAAN (Research Triangle Institute, Research Triangle Park, NC). Independent variables were chosen on the basis of prior work and a priori hypotheses.1,3,4,7 All models also controlled for site of care.
RESULTS
Response and Retention Rates
Of the 1,703 women who were potentially eligible to participate in this study, 426 were found at the time of phone contact to be ineligible (could not speak English or Spanish (n=118), denied any history of breast lump (n=242), no telephone (n=30), prior breast cancer (n=3), other (n=33). Of the 1,277 women who were eligible to participate, 771 women completed the survey (60.4%), 246 (19.3%) refused to participate, and 260 could not be contacted by telephone (20.3%).
Women who completed the survey were younger than women who refused (48.9 vs 52.0 years, P<.001), were more likely to be white (61.7% vs 37.7%) or African American (12.3% vs 9.3%), and less likely to be Latina (16.2% vs 24.7%) or Asian (9.7% vs 28.4% to all P<.001). Using data from the SFMR questionnaire completed by each woman at the time of her mammogram, we calculated the mean Gail score. Women who agreed to participate in this study had a mean Gail score of 2.9%, women who refused 2.9%, women who were ineligible (excluding the women who were already known to have breast cancer) 2.9%, and those unreachable 2.8% (P=.81 between groups). There were 2 breast cancers diagnosed in the women who refused to participate in the study or could not be contacted (2 of 506 or 0.40% of women).
Description of the Sample
The mean age of the sample was 49 years (Table 1). Fifty-five percent were pre-menopausal. The majority of women described their race and ethnicity as white, 16.2% described themselves as Latina, 12.3% as African American, and 9.7% as Asian or other ethnicity. The majority of the sample had at least a college education. Eight percent of the sample was uninsured. Approximately half of the sample had been told that they had “fibrocystic breasts.” Twenty-eight percent of women reported that they had more than one breast lump. Thirty-nine percent of the sample had a history of a breast biopsy, on average 50 months before the index mammogram. Seventeen percent of women reported a family history of a first-degree relative with breast cancer. This sample was at a relatively high risk of developing breast cancer: 81% had a 5 year risk of developing breast cancer of at least 1.67%. The majority of women reported a normal body mass index and did not report any chronic conditions. Eight percent of women reported a history of nonbreast-related cancer (skin 24, cervix 10, thyroid 8, uterus 6, colon 4, other 12).
Table 1.
Description of the Study Sample (n=771)
| Number (%) | |
|---|---|
| Mean age in years (range) | 48.9 (35 to 70) |
| Race and ethnicity* | |
| White | 475 (61.7) |
| Latina | 125 (16.2) |
| African American | 95 (12.3) |
| Asian/other | 75 (9.7) |
| Foreign-born | 199 (25.8) |
| Education | |
| Grade 0 to 12 or technical school | 143 (18.5) |
| Some college | 145 (18.8) |
| College graduate | 224 (29.1) |
| Postgraduate | 259 (33.6) |
| Married or living with partner | 432 (56.0) |
| Uninsured | 61 (7.9) |
| Breast health history | |
| Diagnosed with fibrocystic breasts | 416 (54.0) |
| Currently has more than one lump | 218 (28.3) |
| Family history of a 1st-degree relative with breast cancer | 133 (17.2) |
| Prior breast biopsy | 302 (39.2) |
| Nulliparous | 304 (39.4) |
| Body mass index* | |
| Normal | 468 (60.8) |
| Overweight | 175 (22.7) |
| Obese | 127 (16.5) |
| Chronic conditions | |
| None | 448 (58.1) |
| Median number among women with at least 1 (range) | 1 (1 to 7) |
| Prior history of nonbreast cancer | 64 (8.3) |
Data were missing for race (n=1), Body mass index (n=1)
Receipt of an Adequate Evaluation
Only 56.9% of women received adequate follow-up care (Table 2). Of these, the majority received a clinical breast exam. Among women who received adequate care, the median time to their evaluation was less than one month, and 36.0% of women had additional evaluation on the same day as their mammogram (or biopsy or fine needle aspiration (FNA) within 2 months before their mammogram). Fifteen women who had not yet received further evaluation reported that further evaluation was planned.
Table 2.
Care and Outcomes of Women in the Sample (n=771)
| Number (%) | |
|---|---|
| Adequacy of follow-up evaluation | |
| Adequate* | 439 (56.9) |
| Received a clinical breast exam | 288 (65.6) |
| Visit with a breast specialist | 93 (21.2) |
| Received an ultrasound | 181 (41.2) |
| Received a biopsy or FNA | 182 (41.5) |
| Inadequate but patient reports plan for further evaluation | 15 (1.9) |
| Inadequate | 317 (41.2) |
| Median months to receipt of adequate evaluation (range)† | 0 (0 to 10) |
| Same day evaluation | 277 (35.9) |
| Patient-reported outcome of evaluation† | |
| Benign/normal | 713 (93.1) |
| Cancer or carcinoma in situ | 8 (1.0) |
| Still waiting for testing or further evaluation | 45 (5.9) |
Adequate evaluation defined as a clinical breast exam subsequent to the index mammogram, a visit to a breast specialist, or receipt of an ultrasound, FNA, or biopsy (FNA or biopsy were also included in our criteria for adequate care if they occurred during the 2 months preceding the mammogram). Categories not mutually exclusive.
Data missing for patient-reported outcome of evaluation (n=5), months to receipt of adequate care (n=5).
FNA, fine needle aspiration.
Subsequent Diagnosis of Breast Cancer
Of the 570 women with at least 12 months between their mammogram and complete cancer registry data, 8 (1.4%) were diagnosed with breast cancer or DCIS. Of the 8 women with cancer or DCIS, 6 had received adequate care and 2 had not. Two of these 8 women had DCIS, 4 women were stage 1, 1 woman was stage 2, and 1 woman was stage 4. The women with the stage 2 and stage 4 cancers both received adequate care. Among these women with a new diagnosis of breast cancer, the median time to diagnosis for women who received adequate evaluation was 4 days (n=6), whereas for women who had not received adequate evaluation the median time to diagnosis was 346 days (n=2; P=.13).
Reasons Why Women Did Not Receive an Adequate Evaluation
Twenty-four women out of 332 (7%) did not receive adequate care because they had not sought recommended care. Of these 24 women, the reasons for not seeking recommended care were: not believing that it was necessary (n=10), not thinking that they had cancer (n=15), being too busy (n=11), and cost (n=5).
Factors Associated with Receiving an Adequate Evaluation
Latinas were less likely than whites to receive adequate evaluation for their breast lump (odds ratio (OR) 0.69; 95% confidence interval (95% CI) 0.61 to 0.77) (Table 3). There were also differences in the adequacy of evaluation by level of education. Women who were obese were less likely to receive adequate evaluation for their breast lump. Women who were uninsured were also less likely to have received adequate evaluation than women with health insurance (OR 0.45; 95% CI 0.21 to 0.99). Contrary to our hypothesis, women with fibrocystic breast disease were more likely to receive adequate evaluation than women who reported a single lump. While risk factors for breast cancer were not associated with adequate evaluation, women with a history of cancer at a nonbreast site were more likely to receive an adequate evaluation than women without a history of cancer (OR 2.27; 95% CI 1.97 to 2.62).
Table 3.
Factors Associated with Receiving Adequate Evaluation (n=770)
| Adjusted Odds Ratio*(95% Confidence Interval) | |
|---|---|
| Race and ethnicity | |
| White | 1 |
| Latina | 0.69 (0.61 to 0.77) |
| African American | 0.86 (0.63 to 1.16) |
| Asian/Other | 1.16 (0.73 to 1.85) |
| Education | |
| 0 to 12 or technical school | 0.70 (0.50 to 0.99) |
| Some college | 0.88 (0.68 to 1.14) |
| College graduate | 0.75 (0.57 to 0.98) |
| Post-graduate | 1 |
| Body mass index (BMI) | |
| Normal | 1 |
| Overweight | 0.77 (0.53 to 1.10) |
| Obese | 0.83 (0.71 to 0.98) |
| Married or living with partner (relative to others) | 1.23 (0.92 to 1.63) |
| Uninsured (relative to insured) | 0.45 (0.21 to 0.99) |
| Breast cancer risk factors (relative to those without the risk factor) | |
| History of fibrocystic disease | 1.38 (1.26 to 1.52) |
| Multiple lumps | 1.31 (0.60 to 2.82) |
| Family history of breast cancer | 1.01 (0.65 to 1.54) |
| Prior breast biopsy | 1.03 (0.80 to 1.32) |
| Nulliparous | 0.82 (0.61 to 1.12) |
| Prior cancer (relative to those without cancer) | 2.27 (1.97 to 2.62) |
| Number of chronic conditions | 1.13 (0.96 to 1.33) |
Model adjusted for age, race/ethnicity, country of birth, level of education, BMI, marital status, insurance status, multiple lumps, history of fibrocystic breast disease, family history of breast cancer, prior breast biopsy, nulliparity, number of chronic conditions, prior history of cancer, and site of mammogram.
Time to the Completion of an Adequate Evaluation
As women aged, their time to the receipt of an adequate evaluation was longer (Table 4), with a mean of 0.5 months for women less than 50, and 1.7 months for women older than 50. The time to receipt of an adequate evaluation was approximately twice as long for women who were uninsured as for women who had health insurance.
Table 4.
Time to Completing an Adequate Evaluation (n=764)*
| Adjusted Hazard Ratio†(95% Confidence Interval) | |
|---|---|
| Age | 0.85 (0.75 to 0.97) |
| Race | |
| White | 1 |
| Latina | 0.78 (0.49 to 1.23) |
| African American | 0.88 (0.62 to 1.24) |
| Asian/Other | 0.97 (0.63 to 1.48) |
| Body mass index (BMI) | |
| Normal | 1 |
| Overweight | 0.90 (0.69 to 1.18) |
| Obese | 0.86 (0.64 to 1.15) |
| Married or living with partner (relative to others) | 1.10 (0.89 to 1.36) |
| Uninsured (relative to insured) | 0.47 (0.24 to 0.93) |
| Breast health risk factors (relative to those without) | |
| History of fibrocystic disease | 1.21 (0.98 to 1.49) |
| Multiple lumps | 1.16 (0.94 to 1.43) |
| Family history | 1.03 (0.79 to 1.34) |
| Prior biopsy | 1.04 (0.84 to 1.28) |
| Nulliparous | 0.87 (0.70 to 1.09) |
| Prior cancer (relative to those without cancer) | 1.35 (0.99 to 1.83) |
| Number of chronic conditions | 1.04 (0.93 to 1.16) |
Women who did not receive further evaluation were censored.
Model adjusted for multiple lumps, history of fibrocystic breast disease, age, BMI, number of chronic conditions, prior history of cancer, race and ethnicity, country of birth, level of education, marital status, insurance status, family history of breast cancer, prior breast biopsy, nulliparity, and site of mammogram.
DISCUSSION
This study suggests that many women with a breast lump or their health care providers are reassured by a “normal” mammogram result (BIRADS 1 or 2) and do not pursue further evaluation. Both women and their health care providers should be targeted for interventions to improve the quality of care for this common breast problem. The rate of adequate care for this clinical problem is similar to that for women who require short-term follow-up of an abnormal mammogram11 or have other breast complaints.7
Clinical guidelines and reviews that have focused on the evaluation of women with a breast lump have encouraged providers to pursue diagnostic evaluation beyond mammography regardless of clinical risk factors.3,4 About 15% of women with a palpable cancer have a mammogram that does not demonstrate an abnormal finding.12 The absolute risk of breast cancer in this cohort was 1.4%, approximately 10 times higher than the rates of breast cancer among asymptomatic women with a normal mammogram result, depending on age.4 A breast lump is the most common breast symptom associated with cancer.1 Prior studies have found that up to 10% of breast lumps result in a diagnosis of breast cancer.1,2 Using this estimate for the premammography probability of breast cancer and an overall negative likelihood ratio for screening mammography of 0.15,4 the posttest chance of breast cancer is 1.6%, similar to our observed rate of 1.4%. This study provides an estimate for the risk of cancer among women with a breast lump and a normal (BIRADS 1 or 2) mammogram result.
This work extends our prior work examining the subsequent care of women with an abnormal mammogram or clinical breast complaint by focusing in more detail on women with a breast lump.7 While our earlier work found that many women do not receive adequate care for their breast problems, the majority of those women had an abnormal mammogram result, so we were unable to specifically examine the evaluation of women with a breast lump. The present study is consistent with other work that examined reasons for diagnostic delay among patients newly diagnosed with breast cancer.13 Goodson and Moore13 found that 5% of women with cancer had presented with a breast lump and then received a normal mammogram result and had been “inappropriately” reassured by a physician, including both primary care providers and consultant surgeons. In this case series, inappropriate reassurance of women with this common clinical problem was the leading cause of delay in diagnosis.
Our finding that the uninsured are less likely to receive adequate follow-up for this common clinical problem is consistent with the literature that has demonstrated that the uninsured are more likely to present with late-stage cancer than are individuals with health coverage.14,15 Our finding that obese women were less likely to receive follow-up care is also supported by the literature. Prior work suggests that obese women use screening mammography at lower rates16,17 and have a greater risk of having a false-positive mammogram.18 Our study extends this information about the quality of care for obese women by suggesting that obese women are less likely to receive recommended care for a breast lump. Given the increasing prevalence of obesity in the United States, it is important to understand how obesity may affect clinical care. Prior work demonstrates that African-American women and Latinas are more likely to present with a higher stage of disease and have more adverse prognostic indicators than white women.19–22 Although our study did not demonstrate a difference in care between African Americans and whites, we did find that Latina women were less likely than whites to receive appropriate care.
Among women diagnosed with breast cancer following their presentation with a breast lump, those who had received further care by the time of our telephone survey demonstrated a trend (P=.13) toward earlier diagnosis than women who did not receive further care. While women who received further care were typically diagnosed within a month, those who did not receive their diagnosis were approximately diagnosed 1 year after their mammogram. The median breast cancer volume doubling time is 157 days for women over the age of 50 years and 80 days for women younger than 50 years, suggesting that delays of this duration may be clinically meaningful.23 Because of the small sample of women diagnosed with breast cancer, these findings should be confirmed in a larger sample.
This study has several limitations. It was not designed to examine the care of women who did not receive a mammogram as part of the evaluation of their breast lump. Women with a dominant breast lump may receive a fine-needle aspiration biopsy or an ultrasound as the first diagnostic test for a breast lump.4 Because many of these women receive a subsequent mammogram, to exclude the possibility of a nonpalpable cancer, we categorized women as having received adequate care if they had received any further evaluation in the 2 months preceding their index mammogram. Although the cancer outcomes were validated using a cancer registry, data on subsequent evaluation are based on self-reports. In our prior work, we found that women can accurately recall this type of evaluation over a 6 months time period.24 Nonresponse bias might affect our results. We do not know whether women who did not respond to the survey had a similar risk for inadequate follow-up. Finally, 81% of the women included in this sample had a 5 year risk of developing breast cancer of at least 1.67%. These results should be confirmed in a larger sample of low-risk women.
This work suggests that the management of women with a breast lump could be improved. The publication and dissemination of clinical guidelines and reviews alone may not be enough to change physician or patient behavior.25 Working with local opinion leaders, providing performance feedback, or offering financial incentives are among the methods used to change physician management practices.26 Many women with a breast lump are at risk for receiving inadequate care, particularly women who may have limited access to the health care system. Inadequate care may result in a clinically important delay in the diagnosis of breast cancer. Future efforts should focus on improving the care recommended and received by women with this common medical problem.
Acknowledgments
This work was supported by an NCI-funded Breast Cancer Surveillance Consortium co-operative agreement (U01CA63740).
REFERENCES
- 1.Barton MB, Elmore JG, Fletcher SW. Breast symptoms among women enrolled in a health maintenance organization: frequency, evaluation, and outcome. Ann Intern Med. 1999;130:651–7. doi: 10.7326/0003-4819-130-8-199904200-00005. [DOI] [PubMed] [Google Scholar]
- 2.Sterns EE. Age-related breast diagnosis. Can J Surg. 1992;35:41–5. [PubMed] [Google Scholar]
- 3.Cady B, Steele GD, Jr, Morrow M, et al. Evaluation of common breast problems: guidance for primary care providers. CA Cancer J Clin. 1998;48:49–63. doi: 10.3322/canjclin.48.1.49. [DOI] [PubMed] [Google Scholar]
- 4.Kerlikowske K, Smith-Bindman R, Ljung BM, Grady D. Evaluation of abnormal mammography results and palpable breast abnormalities. Ann Intern Med. 2003;139:274–84. doi: 10.7326/0003-4819-139-4-200308190-00010. [DOI] [PubMed] [Google Scholar]
- 5.Guthrie TH. Breast cancer litigation: an update with practice guidelines. Breast J. 1999;5:335–9. doi: 10.1046/j.1524-4741.1999.00009.x. [DOI] [PubMed] [Google Scholar]
- 6.Kern KA. Causes of breast cancer malpractice litigation. A 20-year civil court review. Arch Surg. 1992;127:542–6. doi: 10.1001/archsurg.1992.01420050062008. (discussion 546–7) [DOI] [PubMed] [Google Scholar]
- 7.Haas JS, Cook EF, Puopolo AL, Burstin HR, Brennan TA. Differences in the quality of care for women with an abnormal mammogram or breast complaint. J Gen Intern Med. 2000;15:321–8. doi: 10.1046/j.1525-1497.2000.08030.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.American College of Radiology. The American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) 4th edn. Reston, Va: American College of Radiology; 2003. [Google Scholar]
- 9.Ballard-Barbash R, Taplin SH, Yankaskas BC, et al. Breast cancer surveillance consortium: a national mammography screening and outcomes database. Am J Roentgenol. 1997;169:1001–8. doi: 10.2214/ajr.169.4.9308451. [DOI] [PubMed] [Google Scholar]
- 10. Body Mass Index for Age, Vol. 2002. Centers of Disease Control.
- 11.Poon EG, Haas JS, Louise Puopolo A, et al. Communication factors in the follow-up of abnormal mammograms. J Gen Intern Med. 2004;19:316–23. doi: 10.1111/j.1525-1497.2004.30357.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Barlow WE, Lehman CD, Zheng Y, et al. Performance of diagnostic mammography for women with signs or symptoms of breast cancer. J Natl Cancer Inst. 2002;94:1151–9. doi: 10.1093/jnci/94.15.1151. [DOI] [PubMed] [Google Scholar]
- 13.Goodson WH, III, Moore DH., II Causes of physician delay in the diagnosis of breast cancer. Arch Intern Med. 2002;162:1343–8. doi: 10.1001/archinte.162.12.1343. [DOI] [PubMed] [Google Scholar]
- 14.Roetzheim RG, Pal N, Tennant C, et al. Effects of health insurance and race on early detection of cancer. J Natl Cancer Inst. 1999;91:1409–15. doi: 10.1093/jnci/91.16.1409. [DOI] [PubMed] [Google Scholar]
- 15.Ayanian JZ, Kohler BA, Abe T, Epstein AM. The relation between health insurance coverage and clinical outcomes among women with breast cancer. N Engl J Med. 1993;329:326–31. doi: 10.1056/NEJM199307293290507. [DOI] [PubMed] [Google Scholar]
- 16.Wee CC, McCarthy EP, Davis RB, Phillips RS. Obesity and breast cancer screening. J Gen Intern Med. 2004;19:324–31. doi: 10.1111/j.1525-1497.2004.30354.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Hunt KA, Sickles EA. Effect of obesity on screening mammography: outcomes analysis of 88,346 consecutive examinations. Am J Roentgenol. 2000;174:1251–5. doi: 10.2214/ajr.174.5.1741251. [DOI] [PubMed] [Google Scholar]
- 18.Elmore JG, Carney PA, Abraham LA, et al. The association between obesity and screening mammography accuracy. Arch Intern Med. 2004;164:1140–7. doi: 10.1001/archinte.164.10.1140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Gwyn K, Bondy ML, Cohen DS, et al. Racial differences in diagnosis, treatment, and clinical delays in a population-based study of patients with newly diagnosed breast carcinoma. Cancer. 2004;100:1595–604. doi: 10.1002/cncr.20169. [DOI] [PubMed] [Google Scholar]
- 20.Shavers VL, Harlan LC, Stevens JL. Racial/ethnic variation in clinical presentation, treatment, and survival among breast cancer patients under age 35. Cancer. 2003;97:134–47. doi: 10.1002/cncr.11051. [DOI] [PubMed] [Google Scholar]
- 21.Zaloznik AJ. Breast cancer stage at diagnosis: caucasians versus hispanics. Breast Cancer Res Treat. 1997;42:121–4. doi: 10.1023/a:1005760719089. [DOI] [PubMed] [Google Scholar]
- 22.Bentley JR, Delfino RJ, Taylor TH, Howe S, Anton-Culver H. Differences in breast cancer stage at diagnosis between non-Hispanic white and Hispanic populations, San Diego County 1988–1993. Breast Cancer Res Treat. 1998;50:1–9. doi: 10.1023/a:1006097601517. [DOI] [PubMed] [Google Scholar]
- 23.Peer PG, van Dijck JA, Hendriks JH, Holland R, Verbeek AL. Age-dependent growth rate of primary breast cancer. Cancer. 1993;71:3547–51. doi: 10.1002/1097-0142(19930601)71:11<3547::aid-cncr2820711114>3.0.co;2-c. [DOI] [PubMed] [Google Scholar]
- 24.Kaplan CP, Crane LA, Stewart S, Juarez-Reyes M. Factors affecting follow-up among low-income women with breast abnormalities. J Womens Health (Larchmt) 2004;13:195–206. doi: 10.1089/154099904322966182. [DOI] [PubMed] [Google Scholar]
- 25.BRIDGE Study Group. Responses of primary health care professionals to UK national guidelines on the management and referral of women with breast conditions. J Eval Clin Pract. 2002;8:319–25. doi: 10.1046/j.1365-2753.2002.00335.x. [DOI] [PubMed] [Google Scholar]
- 26.Soumerai SB, McLaughlin TJ, Gurwitz JH, et al. Effect of local medical opinion leaders on quality of care for acute myocardial infarction: a randomized controlled trial. JAMA. 1998;279:1358–63. doi: 10.1001/jama.279.17.1358. [DOI] [PubMed] [Google Scholar]
