Evidence map›Paper›PMID 39051907›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2024

Patient Characteristics Associated with Intended Nonguideline Chemotherapy in Women with Stage I to IIIA Breast Cancer.

Jenna Bhimani, Kelli O'Connell, Sonia Persaud, Victoria Blinder, Rachael P Burganowski-Doud, Isaac J Ergas, Grace B Gallagher, Jennifer J Griggs, Narre Heon, Tatjana Kolevska and 13 more

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Jenna BhimaniDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-9962-7019
Kelli O'ConnellDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-4021-0788
Sonia PersaudDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0009-0008-5666-7994
Victoria BlinderDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-1448-8671
Rachael P Burganowski-DoudKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington.ORCID 0009-0004-2179-9816
Isaac J ErgasDivision of Research, Kaiser Permanente Northern California, Oakland, California.ORCID 0000-0002-3187-9754
Grace B GallagherDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0009-0004-9277-5002
Jennifer J GriggsDivision of Hematology/Oncology, Department of Medicine, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-1598-4562
Narre HeonDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0009-0003-5239-0821
Tatjana KolevskaDepartment of Oncology, Kaiser Permanente Medical Center, Vallejo, California.ORCID 0009-0003-5704-539X
Yuriy KotsurovskyyDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-1288-518X
Candyce H KroenkeDivision of Research, Kaiser Permanente Northern California, Oakland, California.ORCID 0000-0002-6128-3118
Cecile A LaurentDivision of Research, Kaiser Permanente Northern California, Oakland, California.ORCID 0000-0001-9332-6971
Raymond LiuDivision of Research, Kaiser Permanente Northern California, Oakland, California.ORCID 0000-0002-4667-9632
Kanichi G NakataKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington.ORCID 0000-0001-6730-6045
Donna R RiveraDivision of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-4565-4556
Janise M RohDivision of Research, Kaiser Permanente Northern California, Oakland, California.ORCID 0000-0002-8615-4320
Sara TabatabaiDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-5498-7176
Emily ValiceDivision of Research, Kaiser Permanente Northern California, Oakland, California.ORCID 0000-0003-2408-9727
Elisa V BanderaCancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey.ORCID 0000-0002-8789-2755
Erin J Aiello BowlesKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington.ORCID 0000-0001-6287-7391
Lawrence H KushiDivision of Research, Kaiser Permanente Northern California, Oakland, California.ORCID 0000-0001-9136-1175
Elizabeth D KantorDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-9124-5323

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Diana L Miglioretti · 2011 to 2026
$52.9M
Infrastructure for Pathways, a Prospective Study of Breast Cancer SurvivorshipU01CA195565 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI AMBROSONE, CHRISTINE B., KUSHI, LAWRENCE H · 2016 to 2025
$18.8M
CRN4: Cancer Research Resources & Collaboration in Integrated Health Care SystemsU24CA171524 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KUSHI, LAWRENCE H · 2012 to 2016
$16.0M
Obesity, chemotherapy dosing, and breast cancer outcomesR37CA222793 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KANTOR, ELIZABETH DAVID · 2018 to 2024
$4.0M
Social networks and disparities in health behaviors and breast cancer outcomes in immigrant womenR01CA230440 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KROENKE, CANDYCE H · 2019 to 2024
$3.2M
An Electronic Health Record-Based Tool to Identify Newly Diagnosed Breast Cancer Patients at Risk of Low Social SupportR01CA253028 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KROENKE, CANDYCE H · 2020 to 2025
$2.6M
Group Health Cancer Research Program Research Specialist AwardR50CA211115 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI BOWLES, ERIN JANELLE AIELLO · 2017 to 2021
$919k
Memorial Sloan-Kettering Cancer Center (MSK)National Cancer Institute (NCI) R37CA222793National Cancer Institute (NCI) R50CA211115National Cancer Institute (NCI) U01CA195565NCI NIH HHS P01 CA154292NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA230440NCI NIH HHS R01 CA253028NCI NIH HHS R37 CA222793NCI NIH HHS R50 CA211115NCI NIH HHS U01 CA195565NCI NIH HHS U24 CA171524
6 · The paper itself

Abstract

backgroundGuidelines informing chemotherapy regimen selection are based on clinical trials with participants who do not necessarily represent general populations with breast cancer. Understanding who receives nonguideline regimens is important for understanding real-world chemotherapy administration and how it relates to patient outcomes.

methodsUsing data from the Optimal Breast Cancer Chemotherapy Dosing (OBCD) study, based at Kaiser Permanente Northern California (2006-2019) and Kaiser Permanente Washington (2004-2015), we use logistic regression to examine the associations between patient characteristics and receipt of nonguideline chemotherapy regimens among 11,293 women with primary stage I to IIIA breast cancer receiving chemotherapy.

resultsThe use of nonguideline regimens was strongly associated with several factors, including older age [≥80 vs. 18-39 years: OR, 5.25; 95% confidence interval (CI), 3.06-9.00; P-trend = 0.002] and HER2 status (HER2+ vs. HER2-: OR, 3.44; 95% CI, 3.06-3.87) and was less likely in women with larger tumor size (>5 cm vs. 0.1 to ≤0.5 cm: OR, 0.56; 95% CI, 0.36-0.87; P-trend = 0.01) and diagnosed in later years (2012-2019 vs. 2005-2011: OR, 0.80; 95% CI, 0.71-0.90). Factors associated varied by type of nonguideline regimens. For example, women with comorbidity and older age were more likely to receive nonguideline drug combinations in particular, whereas women with larger tumor size were less likely to receive nonguideline administration schedules.

conclusionsNonguideline chemotherapy regimens are more likely in certain patient populations. IMPACT: These associations highlight that vulnerable patient populations may be less likely to receive guideline care, and thus, real-world studies are essential for understanding how the use of nonguideline regimens impacts patient outcomes in these groups.

Indexed as

Breast NeoplasmsNeoplasm StagingAdolescentAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsCaliforniaFemaleHumansMiddle AgedYoung Adult

Identifiers

PMID39051907
PMCPMC11844798

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.