scholarly journals Patient Delay in Breast Cancer Diagnosis, Its Associated Factors and Stage of Breast Cancer at First Presentation

2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 12s-12s
Author(s):  
U. Shamsi

Background: Patients with breast cancer in Pakistan commonly present with advanced disease. An understanding of the factors influencing delays is important to formulate strategies and shorten delays. Aim: The objective of the current study was to evaluate the frequency and magnitude of patient delay in women of Karachi with a diagnosis of breast, and in addition to provide a detailed assessment of the reasons for this delay of breast cancer patients in seeking medical treatment and if there was a relationship between delays and disease stage. Methods: 533 newly diagnosed cases of breast cancer were enrolled and interviewed during the period from Feb 2015 to Aug 2016. Patient delay in breast cancer diagnosis was defined as time from first symptoms until first medical consultation. Results: The mean age of women was 48.2 ± 12.3 years. The mean consultation time was 7 months. The factors associated with delay were welfare hospital (OR= 2.73, 95% CI: 1.85- 4.01), education level of less than grade 8 (OR= 2.97; 95% CI: 1.86- 4.75), poor SES (OR= 4.32, 95% CI: 2.45-7.60), and breast cancer at stage 4 (OR= 6.53, 95% CI: 2.22-19.18). Patient delay was due to lack of awareness about breast cancer (58.1%) thinking that the lump was harmless. There were misconceptions, embarrassment, shame and fears related to treatment and diagnosis of breast cancer among 86 (16.1%) patients. 49 (9.2%) women wasted time in complementary alternative medicine (CAM)/traditional treatment and had other factors like husband reaction to BC, family commitments, financial constraints. Conclusion: Diagnosis delay is very serious problem in Pakistan. Patient delay was significantly associated with the consequent diagnosis of breast cancer at an advanced stage and consequently with a very poor prognosis. This is a preventable problem which if addressed would have a significant impact on reducing the morbidity and mortality of breast cancer in Pakistan. There is an urgent need for intensive and comprehensive breast cancer education, addressing myths and misconceptions, related to breast cancer. there is no conflict of interest

Author(s):  
C. T. Sánchez-Díaz ◽  
S. Strayhorn ◽  
S. Tejeda ◽  
G. Vijayasiri ◽  
G. H. Rauscher ◽  
...  

Abstract Background Prior studies have observed greater levels of psychosocial stress (PSS) among non-Hispanic (nH) African American and Hispanic women when compared to nH White patients after a breast cancer diagnosis. We aimed to determine the independent and interdependent roles of socioeconomic position (SEP) and unmet support in the racial disparity in PSS among breast cancer patients. Methods Participants were recruited from the Breast Cancer Care in Chicago study (n = 989). For all recently diagnosed breast cancer patients, aged 25–79, income, education, and tract-level disadvantage and affluence were summed to create a standardized socioeconomic position (SEP) score. Three measures of PSS related to loneliness, perceived stress, and psychological consequences of a breast cancer diagnosis were defined based on previously validated scales. Five domains of unmet social support needs (emotional, spiritual, informational, financial, and practical) were defined from interviews. We conducted path models in MPlus to estimate the extent to which PSS disparities were mediated by SEP and unmet social support needs. Results Black and Hispanic patients reported greater PSS compared to white patients and greater unmet social support needs (p = 0.001 for all domains). Virtually all of the disparity in PSS could be explained by SEP. A substantial portion of the mediating influence of SEP was further transmitted by unmet financial and practical needs among Black patients and by unmet emotional needs for Hispanic patients. Conclusions SEP appeared to be a root cause of the racial/ethnic disparities in PSS within our sample. Our findings further suggest that different interventions may be necessary to alleviate the burden of SEP for nH AA (i.e., more financial support) and Hispanic patients (i.e., more emotional support).


PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0262468
Author(s):  
Susanna Hilda Hutajulu ◽  
Yayi Suryo Prabandari ◽  
Bagas Suryo Bintoro ◽  
Juan Adrian Wiranata ◽  
Mentari Widiastuti ◽  
...  

Purpose To investigate factors associated with delays in presentation and diagnosis of women with confirmed breast cancer (BC). Methods A cross-sectional study nested in an ongoing prospective cohort study of breast cancer patients at Dr Sardjito Hospital, Yogyakarta, Indonesia, was employed. Participants (n = 150) from the main study were recruited, with secondary information on demographic, clinical, and tumor variables collected from the study database. A questionnaire was used to gather data on other socioeconomic variables, herbal consumption, number of healthcare visits, knowledge-attitude-practice of BC, and open-ended questions relating to initial presentation. Presentation delay (time between initial symptom and first consultation) was defined as ≥3 months. Diagnosis delay was defined as ≥1 month between presentation and diagnosis confirmation. Impact on disease stage and determinants of both delays were examined. A Kruskal-Wallis test was used to assess the length and distribution of delays by disease stage. A multivariable logistic regression analysis was conducted to explore the association between delays, cancer stage and factors. Results Sixty-five (43.3%) patients had a ≥3-month presentation delay and 97 (64.7%) had a diagnosis confirmation by ≥1 month. Both presentation and diagnosis delays increased the risk of being diagnosed with cancer stage III-IV (odds ratio/OR 2.21, 95% CI 0.97–5.01, p = 0.059 and OR 3.03, 95% CI 1.28–7.19, p = 0.012). Visit to providers ≤3 times was significantly attributed to a reduced diagnosis delay (OR 0.15, 95% CI 0.06–0.37, p <0.001), while having a family history of cancer was significantly associated with increased diagnosis delay (OR 2.28, 95% CI 1.03–5.04, p = 0.042). The most frequent reasons for delaying presentation were lack of awareness of the cause of symptoms (41.5%), low perceived severity (27.7%) and fear of surgery intervention (26.2%). Conclusions Almost half of BC patients in our setting had a delay in presentation and 64.7% experienced a delay in diagnosis. These delays increased the likelihood of presentation with a more advanced stage of disease. Future research is required in Indonesia to explore the feasibility of evidence-based approaches to reducing delays at both levels, including educational interventions to increase awareness of BC symptoms and reducing existing complex and convoluted referral pathways for patients suspected of having cancer.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 12053-12053
Author(s):  
Marisa C. Weiss ◽  
Stephanie Kjelstrom ◽  
Meghan Buckley ◽  
Adam Leitenberger ◽  
Melissa Jenkins ◽  
...  

12053 Background: A current cancer diagnosis is a risk factor for serious COVID-19 complications (CDC). In addition, the pandemic has caused major disruptions in medical care and support networks, resulting in treatment delays, limited access to doctors, worsening health disparities, social isolation; and driving higher utilization of telemedicine and online resources. Breastcancer.org has experienced a sustained surge of new and repeat users seeking urgent information and support. To better understand these unmet needs, we conducted a survey of the Breastcancer.org Community. Methods: Members of the Breastcancer.org Community were invited to complete a survey on the effects of the COVID-19 pandemic on their breast cancer care, including questions on demographics, comorbidities (including lung, heart, liver and kidney disease, asthma, diabetes, obesity, and other chronic health conditions); care delays, anxiety due to COVID-related care delays, use of telemedicine, and satisfaction with care during COVID. The survey was conducted between 4/27/2020-6/1/2020 using Survey Monkey. Results were tabulated and compared by chi square test. A p-value of 0.05 is considered significant. Data were analyzed using Stata 16.0 (Stata Corp., Inc, College Station, TX). Results: Our analysis included 568 breast cancer patients of whom 44% had ≥1 other comorbidities associated with serious COVID-19 complications (per CDC) and 37% had moderate to extreme anxiety about contracting COVID. This anxiety increased with the number of comorbidities (p=0.021), age (p=0.040), and with a current breast cancer diagnosis (p=0.011) (see table). Anxiety was significantly higher in those currently diagnosed, ≥65, or with ≥3 other comorbidities, compared to those diagnosed in the past, age <44, or without other comorbidities. Conclusions: Our survey reveals that COVID-related anxiety is prevalent at any age regardless of overall health status, but it increased with the number of other comorbidities, older age, and a current breast cancer diagnosis. Thus, reported anxiety is proportional to the risk of developing serious complications from COVID. Current breast cancer patients of all ages—especially with other comorbidities—require emotional support, safe access to their providers, and prioritization for vaccination.[Table: see text]


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Tekeda F Ferguson ◽  
Sunayana Kumar ◽  
Denise Danos

Purpose: In conjunction with women being diagnosed earlier with breast cancer and a rapidly aging population, advances in cancer therapies have swiftly propelled cardiotoxicity as a major health concern for breast cancer patients. Frequent cardiotoxicity outcomes include: reduced left ventricular ejection fraction (LVEF), myocardial infarction, asymptomatic or hospitalized heart failure, arrhythmias, hypertension, and thromboembolism. The purpose of this study was to use an electronic health records system determine if an increased odds of heart disease was present among women with breast cancer. Methods: Data from the Research Action for Health Network (REACHnet) was used for the analysis. REACHnet is a clinical data research network that uses the common data model to extract electronic health records (EHR) from health networks in Louisiana (n=100,000).Women over the age of 30 with data (n=35,455) were included in the analysis. ICD-9 diagnosis codes were used to classify heart disease (HD) (Hypertensive HD, Ischemic HD, Pulmonary HD, and Other HD) and identify breast cancer patients. Additional EHR variables considered were smoking status, and patient vitals. Chi-square tests, crude, and adjusted logistic regression models were computed utilizing SAS 9.4. Results: Utilizing diagnoses codes our study team has estimated 28.6% of women over the age of 30 with a breast cancer diagnosis (n=816) also had a heart disease diagnosis, contrasted with 15.6% of women without a breast cancer diagnosis. Among patients with heart disease, there was no significant difference in the distribution of the type of heart disease diagnoses by breast cancer status (p=0.87). There was a 2.21 (1.89, 2.58) crude odds ratio of having a CVD diagnoses among breast cancer cases when referenced to cancer free women. After adjusting for age (30-49, 50-64, 65+), race (black/white), and comorbidities (obesity/overweight, diabetes, current smoker) there was an increased risk of heart disease (OR: 1.24 (1.05, 1.47)). Conclusion: The short-term and long-term consequences of cardiotoxicity on cancer treatment risk-to-benefit ratio, survivorship issues, and competing causes of mortality are increasingly being acknowledged. Our next efforts will include making advances in predictive risk modeling. Maximizing benefits while reducing cardiac risks needs to become a priority in oncologic management and monitoring for late-term toxic effects.


2020 ◽  
pp. 873-883
Author(s):  
Uzma Shamsi ◽  
Shaista Khan ◽  
Iqbal Azam ◽  
Shaheryar Usman ◽  
Amir Maqbool ◽  
...  

PURPOSE Patients with breast cancer in Pakistan commonly present with advanced disease. The objectives of this study were to evaluate the frequency and length of delays in seeking medical consultation and to assess the factors associated with them. METHODS Four hundred ninety-nine patients with newly diagnosed breast cancer were enrolled and interviewed over the period from February 2015 to August 2017. Information on sociodemographic factors, delay to medical consultation, stage of breast cancer at presentation, and tumor characteristics of the breast cancer were collected through face-to-face interviews and medical file review. RESULTS The mean (standard deviation) age of patients with breast cancer was 48.0 (12.3) years. The mean (standard deviation) patient delay was 15.7 (25.9) months, with 55.2% of women detecting a breast lump but not seeking a medical consultation because of a lack of awareness about the significance of the lump. A total of 9.4% of the women decided to seek treatment initially using complementary and alternative medicine and traditional treatment; 9.4% of the women presented to a health care provider with a breast lump but no action was taken, and they were wrongly reassured about the lump without mammography or biopsy. For 26% of the women, the delay in presentation was caused by anxiety, fears and misconceptions regarding diagnosis and treatment, and other social factors including possible adverse effects on their relationship with their husband. Multivariable analysis showed a strong association of lower socioeconomic status (odds ratio [OR], 8.11 [95% CI, 2.46 to 26.69]) and late stage of breast cancer (OR, 4.83 [95% CI, 1.74 to 13.39]) with a patient delay of ≥ 3 months. CONCLUSION Patient delay is a serious problem in Pakistan. There is an urgent need for intensive and comprehensive breast cancer education that addresses the myths and misconceptions related to breast cancer.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1676-1676
Author(s):  
Amer M. Zeidan ◽  
Jessica B. Long ◽  
Rong Wang ◽  
James B. Yu ◽  
Jane Hall ◽  
...  

Abstract BACKGROUND: Chemotherapy and combined chemo-radiotherapy are well-documented risk factors for myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML), collectively referred to in this setting as therapy-related myeloid neoplasms (t-MN). While single-modality radiotherapy post-lumpectomy has been shown to reduce local recurrence among breast cancer patients, data regarding the impact on development of t-MN are limited and inconsistent. METHODS: We conducted a retrospective cohort study of elderly female breast cancer patients (aged 67-94 years at diagnosis) who were diagnosed with in situ or stage 1-3 breast cancer between 1/1/2004 and 12/31/2011 using the National Cancer Institute's Surveillance, Epidemiology and End Results (SEER)-Medicare linked database. Eligibility criteria included 1) enrollment in Medicare Parts A and B continuously through death or end of study (12/31/2013); 2) underwent surgery for breast cancer within 9 months of diagnosis; and 3) were not diagnosed with other neoplasms prior to breast cancer diagnosis. Delivery of radiation therapy was ascertained using the Healthcare Common Procedural Coding System codes. In order to be considered a recipient of radiotherapy, the patient had to receive radiotherapy within 9 months of diagnosis and had any treatment delivery code for brachytherapy or ≥ 4 treatment delivery codes for external bream radiotherapy. Competing-risk analysis was used to assess the risk of developing t-MN in radiotherapy-treated patients compared to those treated with surgery alone. Patients were censored at the time of receiving chemotherapy or at development of another malignancy (aside of t-MN) during follow-up. Competing-risk analysis was used to assess the risk of developing secondary MN women who received radiation therapy compared to those who did not. These models included adjustment for breast cancer diagnosis age and year, number of comorbidities, anemia, functional status prior to breast cancer diagnosis and breast cancer stage. RESULTS: A total of 63,543 patients were included in the study. Median follow-up for all participants was 48 months. A total of 32,809 patients (51.6%) received radiotherapy post-surgery while 30,734 patients (48.4%) were not treated with radiotherapy post-surgery. Patients who received radiotherapy had significantly better overall survival than those who did not (median overall survival [OS] 107 vs. 89 months, p<0.001). During follow-up, a total of 167 patients were diagnosed with MDS or AML (89 cases among those who received radiotherapy and 78 among those who did not receive radiotherapy). The median time to develop MDS/AML was 24 months. In the unadjusted model, there was no significantly increased risk of subsequent AML/MDS among breast cancer patients who received single-modality radiotherapy compared to those who underwent surgery alone (hazard ratio [HR] = 1.11, 95% confidence interval [CI]: 0.82-1.51, p=0.49). Similarly, no significant difference in subsequent MDS/AML according to receipt of radiotherapy was observed in the adjusted analysis (HR = 1.16, 95% CI: 0.84-1.59, p=0.36). CONCLUSIONS: Older patients with early breast cancer who were treated with single-modality radiotherapy post-surgery did not have a higher risk of subsequent MDS/AML compared to patients who did not receive radiotherapy, and the overall rate of MN was low.While additional studies with a longer duration of follow-up are warranted, these results suggest that the single-modality radiotherapy administered in the contemporary management of early breast cancer is not a risk factor for t-MN in this population. Disclosures Yu: 21st-Century Oncology LLC: Research Funding. Gore:Celgene: Consultancy, Honoraria, Research Funding. Gross:Johnson and Johnson: Research Funding; Medtronic: Research Funding; 21st-Century Oncology LLC: Research Funding. Ma:Celgene Corp: Consultancy; Incyte Corp: Consultancy. Davidoff:Celgene: Consultancy, Research Funding.


2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 10621-10621
Author(s):  
Hyeong-Gon Moon ◽  
Un-Beom Kang ◽  
Wonshik Han ◽  
Seock-Ah Im ◽  
Dong-Young Noh

10621 Background: Multiple reaction monitoring-based mass spectrometry (MRM-MS) has the ability to perform a wide range of proteome analysis in a single experiment using a small volume of specimen. We aimed to develop a plasma protein signature for breast cancer diagnosis using the MRM-MS technology. Methods: Previously, we have identified lists of breast cancer-related proteins from various models of proteomic discovery including cancer plasma vs healthy plasma, cancer cell line secretome vs non-tumorigenic cell line secretome, cancer tissue vs normal tissue, and literature search. Based on these protein panels, total of 29 proteins were selected for further experiments. We verified and validated the protein signature in two independent cohorts of breast cancer patients and healthy women. Results: In the verification cohort of 80 breast cancer patients and 80 healthy women, MRM-MS showed significant differences in plasma concentration for 11 proteins. Among them, the difference was not significant for 4 proteins when the cases were limited to stage I and II patients. Based on p values and consistent expression level along the AJCC stages, we have created a plasma protein signature comprised of 3 plasma proteins. The 3 plasma protein signature effectively discriminated cancer and healthy cases with the AUC of 0.831 (sensitivity 78.7%, specificity 78.7%). The performance of the 3 plasma protein signature was validated in the cohort of 100 cancer patients and 100 healthy women. The accuracy of the 3 protein signature was still meaningful with the AUC of 0.746 and 0.797 for all stages and stage I or II patients, respectively. Conclusions: The 3 plasma protein signature for breast cancer diagnosis, developed by the MRM-MS technology, showed promising results in the present study.


2018 ◽  
Vol 36 (7_suppl) ◽  
pp. 23-23
Author(s):  
Lucinda Barry ◽  
Leanne Storer ◽  
Meron Pitcher

23 Background: The diagnosis and treatment of cancer often causes financial stress, partly by impacting on the ability to continue in paid employment. Our aim was to identify changes in work status 12 months after a diagnosis of breast cancer. Methods: An audit of the medical records of women who presented to the Western Health (Victoria, Australia) nurse led breast cancer Survivorship Clinic (SC) between October 2015 and October 2016 was performed to identify employment status at diagnosis and at their review at SC 12 months later. Results: 111 records were reviewed. The mean age was 55 (range 28-82yrs). 84 of these women (76%) were 65 years of younger at the time of diagnosis. 46 of the 84 women ≤65 years were in paid employment at diagnosis (55%), and 38 (83%) were still working in some capacity at review in the SC. Of the 38 still working, 28 were working in the same capacity, 8 were working reduced hours, and 2 were working increased hours. Women who had axillary dissections were most likely to have changed work status. Financial stress was reported by 8/19 of women who stopped working or had changed work hours, including 9 no longer in paid employment and 10 with changed hours. 2/28 women working in the same capacity reported financial stress. 65% of those who reported financial stress (11/17) had chemotherapy as part of their treatment. Conclusions: A breast cancer diagnosis has the ability to influence a woman's work status one year after diagnosis. Health professionals should appreciate the potential work concerns and financial stresses continuing to affect their patients.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e13004-e13004
Author(s):  
Yookyung Christy Choi ◽  
Jerzy Edward Tyczynski ◽  
Dongmu Zhang

e13004 Background: BRCA is a hereditary genetic mutation associated with a higher risk of breast cancer at younger age. Generally, BRCA gene testing is done in perceived high-risk individuals, and different management approaches might be considered given the high risk of breast cancer. This study examines treatment outcomes among BRCA-positive, metastatic breast cancer patients with consideration of prophylactic management by using US nationwide EHR data. Methods: This was a retrospective cohort study using Optum EHRs. The study cohort includes female adults who underwent their first systemic chemotherapy for metastatic breast cancer between 2013-2018 with a BRCA positive test result prior to the systemic chemotherapy, with ≥ 6 months baseline period from the chemotherapy. Physicians’ notes captured in Natural Language Processing (NLP) were further used to construct the cohort. Patients were followed from the earliest breast cancer diagnosis date until a censoring event (death or end of observation period). Death information was provided with national death certificate data. Descriptive statistics were used for patient characteristics and a stepwise Cox Proportional Hazard (CPH) regression model was fit to compare survival time. Results: Of 3624 patients included in the cohort, median age at the earliest breast cancer diagnosis is 50 years old (IQR 43-59), and a total of 540 (14.9%) deaths was observed. Prior to systemic chemotherapy, 1430 (39.5%) received mastectomy/lumpsectomy. 571 (15.8%) received hormone therapy prior to systemic chemotherapy. 646 (17.8%) had a clinical record indicating a triple negative breast cancer (TNBC). 2196 (60.6%) received more than 1 line of chemotherapy. Overall median survival days in the study cohort was 3778 days from the earliest breast cancer diagnosis. Median survival days in those with ER/PR positive and with TNBC status were 4150 days and 3124 days, respectively. From the CPH model, age, tumor mutation status, and prior mastectomy/lumpectomy were identified as significant factors; Hazard Ratio (HR) with each 1 year older in age at diagnosis was 1.02 (95% CL 1.01-1.03), that of TNBC vs ER/PR positive status was 2.27 (95% CL 1.87-2.77) and that of those with prior surgery vs without was 0.567 (95% CL 0.457-0.703). Conclusions: This study demonstrated the utility of EHR database for survival analysis. In metastatic breast cancer patients with a known BRCA-positive status, age at the initial diagnosis, tumor mutation status, and prior mastectomy/lumpectomy were significant factors in survival time.


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