Literature DB >> 23139057

Patterns and predictors of breast cancer chemotherapy use in Kaiser Permanente Northern California, 2004-2007.

Allison W Kurian1, Daphne Y Lichtensztajn, Theresa H M Keegan, Rita W Leung, Sarah J Shema, Dawn L Hershman, Lawrence H Kushi, Laurel A Habel, Tatjana Kolevska, Bette J Caan, Scarlett L Gomez.   

Abstract

Chemotherapy regimens for early stage breast cancer have been tested by randomized clinical trials, and specified by evidence-based practice guidelines. However, little is known about the translation of trial results and guidelines to clinical practice. We extracted individual-level data on chemotherapy administration from the electronic medical records of Kaiser Permanente Northern California (KPNC), a pre-paid integrated healthcare system serving 29 % of the local population. We linked data to the California Cancer Registry, incorporating socio-demographic and tumor factors, and performed multivariable logistic regression analyses on the receipt of specific chemotherapy regimens. We identified 6,004 women diagnosed with Stage I-III breast cancer at KPNC during 2004-2007; 2,669 (44.5 %) received at least one chemotherapy infusion at KPNC within 12 months of diagnosis. Factors associated with receiving chemotherapy included <50 years of age [odds ratio (OR) 2.27, 95 % confidence interval (CI) 1.81-2.86], tumor >2 cm (OR 2.14, 95 % CI 1.75-2.61), involved lymph nodes (OR 11.3, 95 % CI 9.29-13.6), hormone receptor-negative (OR 6.94, 95 % CI 4.89-9.86), Her2/neu-positive (OR 2.71, 95 % CI 2.10-3.51), or high grade (OR 3.53, 95 % CI 2.77-4.49) tumors; comorbidities associated inversely with chemotherapy use [heart disease for anthracyclines (OR 0.24, 95 % CI 0.14-0.41), neuropathy for taxanes (OR 0.45, 95 % CI 0.22-0.89)]. Relative to high-socioeconomic status (SES) non-Hispanic Whites, we observed less anthracycline and taxane use by SES non-Hispanic Whites (OR 0.63, 95 % CI 0.49-0.82) and American Indians (OR 0.23, 95 % CI 0.06-0.93), and more anthracycline use by high-SES Asians/Pacific Islanders (OR 1.72, 95 % CI 1.02-2.90). In this equal-access healthcare system, chemotherapy use followed practice guidelines, but varied by race and socio-demographic factors. These findings may inform efforts to optimize quality in breast cancer care.

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Year:  2012        PMID: 23139057      PMCID: PMC3769522          DOI: 10.1007/s10549-012-2329-5

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.624


  49 in total

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Authors:  Xiao-Cheng Wu; Mary Jo Lund; Gretchen G Kimmick; Lisa C Richardson; Susan A Sabatino; Vivien W Chen; Steven T Fleming; Cyllene R Morris; Bin Huang; Amy Trentham-Dietz; Joseph Lipscomb
Journal:  J Clin Oncol       Date:  2011-12-05       Impact factor: 44.544

2.  St. Gallen 2011: Summary of the Consensus Discussion.

Authors:  Michael Gnant; Nadia Harbeck; Christoph Thomssen
Journal:  Breast Care (Basel)       Date:  2011-04-29       Impact factor: 2.860

3.  Understanding the challenges of adjuvant treatment measurement and reporting in breast cancer: cancer treatment measuring and reporting.

Authors:  Nina A Bickell; Ann Scheck McAlearney; Jill Wellner; Kezhen Fei; Rebeca Franco
Journal:  Med Care       Date:  2013-06       Impact factor: 2.983

4.  Compliance with the commission on cancer quality of breast cancer care measures: self-evaluation advised.

Authors:  William Lodrigues; Judy Dumas; Madhu Rao; Lisa Lilley; Roshni Rao
Journal:  Breast J       Date:  2011-02-07       Impact factor: 2.431

5.  Life After Cancer Epidemiology (LACE) Study: a cohort of early stage breast cancer survivors (United States).

Authors:  Bette Caan; Barbara Sternfeld; Erica Gunderson; Ashley Coates; Charles Quesenberry; Martha L Slattery
Journal:  Cancer Causes Control       Date:  2005-06       Impact factor: 2.506

6.  Social and racial differences in selection of breast cancer adjuvant chemotherapy regimens.

Authors:  Jennifer J Griggs; Eva Culakova; Melony E S Sorbero; Marek S Poniewierski; Debra A Wolff; Jeffrey Crawford; David C Dale; Gary H Lyman
Journal:  J Clin Oncol       Date:  2007-06-20       Impact factor: 44.544

7.  Factors associated with breast cancer clinical trials participation and enrollment at a large academic medical center.

Authors:  Michael S Simon; Wei Du; Lawrence Flaherty; Philip A Philip; Patricia Lorusso; Cheryl Miree; Daryn Smith; Diane R Brown
Journal:  J Clin Oncol       Date:  2004-04-13       Impact factor: 44.544

8.  The CMF program for operable breast cancer with positive axillary nodes. Updated analysis on the disease-free interval, site of relapse and drug tolerance.

Authors:  G Bonadonna; A Rossi; P Valagussa; A Banfi; U Veronesi
Journal:  Cancer       Date:  1977-06       Impact factor: 6.860

9.  Weekly paclitaxel in the adjuvant treatment of breast cancer.

Authors:  Joseph A Sparano; Molin Wang; Silvana Martino; Vicky Jones; Edith A Perez; Tom Saphner; Antonio C Wolff; George W Sledge; William C Wood; Nancy E Davidson
Journal:  N Engl J Med       Date:  2008-04-17       Impact factor: 91.245

10.  Improved outcomes from adding sequential Paclitaxel but not from escalating Doxorubicin dose in an adjuvant chemotherapy regimen for patients with node-positive primary breast cancer.

Authors:  I Craig Henderson; Donald A Berry; George D Demetri; Constance T Cirrincione; Lori J Goldstein; Silvana Martino; James N Ingle; M Robert Cooper; Daniel F Hayes; Katherine H Tkaczuk; Gini Fleming; James F Holland; David B Duggan; John T Carpenter; Emil Frei; Richard L Schilsky; William C Wood; Hyman B Muss; Larry Norton
Journal:  J Clin Oncol       Date:  2003-03-15       Impact factor: 44.544

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  23 in total

1.  Racial/ethnic differences in the utilization of chemotherapy among stage I-III breast cancer patients, stratified by subtype: Findings from ten National Program of Cancer Registries states.

Authors:  Lu Zhang; Jessica King; Xiao-Cheng Wu; Mei-Chin Hsieh; Vivien W Chen; Qingzhao Yu; Elizabeth Fontham; Michelle Loch; Lori A Pollack; Tekeda Ferguson
Journal:  Cancer Epidemiol       Date:  2018-11-08       Impact factor: 2.984

2.  Patient-clinician interactions and disparities in breast cancer care: the equality in breast cancer care study.

Authors:  Felisa A Gonzales; Meera Sangaramoorthy; Laura A Dwyer; Salma Shariff-Marco; Amani M Allen; Allison W Kurian; Juan Yang; Michelle M Langer; Laura Allen; Bryce B Reeve; Stephen H Taplin; Scarlett Lin Gomez
Journal:  J Cancer Surviv       Date:  2019-10-23       Impact factor: 4.442

3.  How can we best respect patient autonomy in breast cancer treatment decisions?

Authors:  Sarah T Hawley; Reshma Jagsi; Kathryn A Martinez; Allison W Kurian
Journal:  Breast Cancer Manag       Date:  2015

4.  Diabetes and other comorbidities in breast cancer survival by race/ethnicity: the California Breast Cancer Survivorship Consortium (CBCSC).

Authors:  Anna H Wu; Allison W Kurian; Marilyn L Kwan; Esther M John; Yani Lu; Theresa H M Keegan; Scarlett Lin Gomez; Iona Cheng; Salma Shariff-Marco; Bette J Caan; Valerie S Lee; Jane Sullivan-Halley; Chiu-Chen Tseng; Leslie Bernstein; Richard Sposto; Cheryl Vigen
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-11-25       Impact factor: 4.254

5.  Breast Cancer in San Francisco: Disentangling Disparities at the Neighborhood Level.

Authors:  Scarlett Lin Gomez; Laura Fejerman; Alice Guan; Daphne Lichtensztajn; Debora Oh; Jennifer Jain; Li Tao; Robert A Hiatt
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-09-23       Impact factor: 4.254

6.  The California Breast Cancer Survivorship Consortium (CBCSC): prognostic factors associated with racial/ethnic differences in breast cancer survival.

Authors:  Anna H Wu; Scarlett Lin Gomez; Cheryl Vigen; Marilyn L Kwan; Theresa H M Keegan; Yani Lu; Salma Shariff-Marco; Kristine R Monroe; Allison W Kurian; Iona Cheng; Bette J Caan; Valerie S Lee; Janise M Roh; Jane Sullivan-Halley; Brian E Henderson; Leslie Bernstein; Esther M John; Richard Sposto
Journal:  Cancer Causes Control       Date:  2013-07-18       Impact factor: 2.506

7.  Preliminary Development and Evaluation of an Algorithm to Identify Breast Cancer Chemotherapy Toxicities Using Electronic Medical Records and Administrative Data.

Authors:  Jeanne S Mandelblatt; Karl Huang; Solomon B Makgoeng; Gheorghe Luta; Jun X Song; Michelle Tallarico; Janise M Roh; Julie R Munneke; Cathie A Houlston; Meghan E McGuckin; Ling Cai; Grace Clarke Hillyer; Dawn L Hershman; Alfred I Neugut; Claudine Isaacs; Larry Kushi
Journal:  J Oncol Pract       Date:  2014-08-26       Impact factor: 3.840

8.  Assessing racial/ethnic disparities in chemotherapy treatment among breast cancer patients in context of changing treatment guidelines.

Authors:  Abigail Silva; Garth H Rauscher; Kent Hoskins; Ruta Rao; Carol Estwing Ferrans
Journal:  Breast Cancer Res Treat       Date:  2013-11-22       Impact factor: 4.872

9.  Breast Cancer Mortality in Older and Younger Patients in California.

Authors:  Li Tao; Richard B Schwab; Yazmin San Miguel; Scarlett Lin Gomez; Alison J Canchola; Manuela Gago-Dominguez; Ian K Komenaka; James D Murphy; Alfredo A Molinolo; Maria Elena Martinez
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2018-10-17       Impact factor: 4.254

10.  Assessment of Oncology Practice Billing Claims for Supplementing Chemotherapy: A Pilot Study in the Georgia SEER Cancer Registry.

Authors:  Nadia Howlader; Kevin C Ward; Joan L Warren; Dave S Campbell; Linda Coyle; Angela B Mariotto
Journal:  J Natl Cancer Inst Monogr       Date:  2020-05-01
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