Literature DB >> 30545992

Delays in Diagnosis and Treatment of Breast Cancer: A Safety-Net Population Profile.

Kshama Jaiswal, Madelyne Hull, Anna L Furniss, Reina Doyle, Natalia Gayou, Elizabeth Bayliss.   

Abstract

Background: Timely detection and treatment of breast cancer is important in optimizing survival and minimizing recurrence. Given disparities in breast cancer outcomes based on socioeconomic status, we examined time to diagnosis and treatment in a safety-net hospital.
Methods: We conducted a retrospective review of all patients with breast cancer diagnosed between July 1, 2010, and June 30, 2012 (N=120). We limited our analytic sample to patients with nonrecurrent, primary stage 0-III breast cancer (N=105) and determined intervals from presentation to diagnosis, diagnosis to first treatment, last surgery to chemotherapy initiation, and last surgery to start of radiation therapy (RT). Using logistic regression, we calculated unadjusted odds of receiving timely treatment (< median time) versus more delayed treatment (≥ median time) as a function of age, language, ethnicity, insurance, Charlson comorbidity index, disease stage, method of first presentation (screening mammography vs care provider), symptoms at presentation, and type of surgical treatment.
Results: Patients aged 55 to 64 years accounted for most of the sample (n=37; 35.2%). Median time from presentation to diagnosis (23 days), time from diagnosis to first treatment, and time from surgery to chemotherapy initiation fell within intervals published in the literature; median time from last surgery to start of RT was greater than recommended intervals. Factors significantly associated with longer intervals than median time included stage, method of presentation, language, surgical treatment, insurance, and ethnicity. Conclusions: Patients in this safety-net setting experienced acceptable diagnosis and treatment intervals, except for time to RT. Focused interventions that help care providers access imaging quickly for their symptomatic patients could improve time to diagnosis. Concentrating additional efforts on non-English-speaking, Hispanic patients and those who need to receive RT could improve time to treatment.
Copyright © 2018 by the National Comprehensive Cancer Network.

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Year:  2018        PMID: 30545992     DOI: 10.6004/jnccn.2018.7067

Source DB:  PubMed          Journal:  J Natl Compr Canc Netw        ISSN: 1540-1405            Impact factor:   11.908


  7 in total

1.  Breast Cancer Treatment Delays at an Urban Safety Net Hospital Among Women Experiencing Homelessness.

Authors:  Kate Festa; Ariel E Hirsch; Michael R Cassidy; Lauren Oshry; Kathryn Quinn; Margaret M Sullivan; Naomi Y Ko
Journal:  J Community Health       Date:  2020-06

Review 2.  Breast cancer in low-middle income countries: abnormality in splicing and lack of targeted treatment options.

Authors:  Flavia Zita Francies; Rodney Hull; Richard Khanyile; Zodwa Dlamini
Journal:  Am J Cancer Res       Date:  2020-05-01       Impact factor: 5.942

3.  Prolonged Time to Adjuvant Chemotherapy Initiation Was Associated with Worse Disease Outcome in Triple Negative Breast Cancer Patients.

Authors:  Lifen Cai; Yiwei Tong; Xiaoping Zhu; Kunwei Shen; Juanying Zhu; Xiaosong Chen
Journal:  Sci Rep       Date:  2020-04-27       Impact factor: 4.379

4.  Impact of Time to Initiation of Treatment on the Quality of Life of Women with Breast Cancer.

Authors:  Magdalena Konieczny; Elżbieta Cipora; Wojciech Roczniak; Magdalena Babuśka-Roczniak; Marek Wojtaszek
Journal:  Int J Environ Res Public Health       Date:  2020-11-11       Impact factor: 3.390

5.  Time Taken for Symptom Recognition, First Consultation, Diagnosis and First Definitive Treatment and Its Associated Factors among Women with Breast Cancer.

Authors:  Bachok Norsa'adah; Krishna Gopal Rampal; Rahmah Mohd Amin
Journal:  Asian Pac J Cancer Prev       Date:  2021-11-01

6.  Disparate access to breast cancer screening and treatment.

Authors:  Maria Castaldi; Abbas Smiley; Katharine Kechejian; Jonathan Butler; Rifat Latifi
Journal:  BMC Womens Health       Date:  2022-06-22       Impact factor: 2.742

7.  Novel semi-automated algorithm for high-throughput quantification of adipocyte size in breast adipose tissue, with applications for breast cancer microenvironment.

Authors:  Frank L Lombardi; Naser Jafari; Kimberly A Bertrand; Lauren J Oshry; Michael R Cassidy; Naomi Y Ko; Gerald V Denis
Journal:  Adipocyte       Date:  2020-12       Impact factor: 3.553

  7 in total

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