Evidence map›Paper›PMID 29247440›Full record

ArticleBreast cancer research and treatment2018

Analysis of breast cancer in young women in the Department of Defense (DOD) database.

Alexandra S Zimmer, Kangmin Zhu, Patricia S Steeg, Alex Wu, Margaret E Gatti-Mays, Sanaz Soltani, Jeremy G Perkins, Stephanie Shao, Derek Brown, Matthew Georg and 3 more

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  5. Aging and CNS Myeloid Cell Depletion Attenuate Breast Cancer Brain Metastasis.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
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  10. Review
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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

13 authors.

Alexandra S ZimmerWomen's Malignancies Branch, National Cancer Institute, NIH, Bethesda, MD, USA. alexandra.zimmer@nih.gov.
Kangmin ZhuDivision of Military Epidemiology and Population Sciences, Murtha Cancer Center, Uniformed Services University / Walter Reed NMMC, Bethesda, MD, USA.
Patricia S SteegWomen's Malignancies Branch, National Cancer Institute, NIH, Bethesda, MD, USA.
Alex WuWomen's Malignancies Branch, National Cancer Institute, NIH, Bethesda, MD, USA.
Margaret E Gatti-MaysWomen's Malignancies Branch, National Cancer Institute, NIH, Bethesda, MD, USA.
Sanaz SoltaniWomen's Malignancies Branch, National Cancer Institute, NIH, Bethesda, MD, USA.
Jeremy G PerkinsMurtha Cancer Center, Uniformed Services University / Walter Reed NMMC, Bethesda, MD, USA.
Stephanie ShaoDivision of Military Epidemiology and Population Sciences, Murtha Cancer Center, Uniformed Services University / Walter Reed NMMC, Bethesda, MD, USA.
Derek BrownDivision of Military Epidemiology and Population Sciences, Murtha Cancer Center, Uniformed Services University / Walter Reed NMMC, Bethesda, MD, USA.
Matthew GeorgDivision of Military Epidemiology and Population Sciences, Murtha Cancer Center, Uniformed Services University / Walter Reed NMMC, Bethesda, MD, USA.
Hai HuChan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA, USA.
Craig D ShriverMurtha Cancer Center, Uniformed Services University / Walter Reed NMMC, Bethesda, MD, USA.
Stanley LipkowitzWomen's Malignancies Branch, National Cancer Institute, NIH, Bethesda, MD, USA.

Funding

Breast cancer aggressiveness in young patientsZIABC011718 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI STEEG, PATRICIA SCHRIVER · 2016 to 2024
$4.1M
Genomic characterization of breast cancer in high risk subsets of breast cancerZIABC011650 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LIPKOWITZ, STANLEY · 2015 to 2025
$2.2M
Intramural NIH HHS ZIA BC011650
6 · The paper itself

Abstract

purposeBreast tumors from young women under the age of 40 account for approximately 7% of cases and have a poor prognosis independent of established prognostic factors. We evaluated the patient population served by the Military Health System, where a disproportionate number of breast cancer cases in young women are seen and treated in a single universal coverage healthcare system.

methodsThe Military Health System Repository and the DoD Central Registration databases were used to identify female breast cancer patients diagnosed or treated at military treatment facilities from 1998 to 2007.

results10,066 women were diagnosed with invasive breast cancer at DoD facilities from 1998 to 2007, of which 11.3% (1139), 23.4% (2355) and 65.2% (6572) were < 40, 40-49 and > 50 years old (yo), respectively, at diagnosis. 53% in the < 40 yo cohort were white, 25% were African American (AA) and 8% were Hispanic, with 14% undisclosed. Breast cancer in women diagnosed < 40 yo was more high grade (p < 0.0001), Stage II (p < 0.0001) and ER negative (p < 0.0001). There was a higher rate of bilateral mastectomies among the women < 40 compared to those 40-49 and > 50 (18.4% vs. 9.1% and 5.0%, respectively). Independent of disease stage, chemotherapy was given more frequently to < 40 yo (90.43%) and 40-49 yo (81.44%) than ≥ 50 yo (53.71%). The 10-year overall survival of younger women was similar to the ≥ 50 yo cohort. Outcomes in the African American and Hispanic subpopulations were comparable to the overall cohort.

conclusionYounger women had a similar overall survival rate to older women despite receiving more aggressive treatment.

Indexed as

AdultAge FactorsBlack or African AmericanBreast NeoplasmsChemotherapy, AdjuvantDatabases, FactualFemaleHispanic or LatinoHumansMastectomyMiddle AgedNeoplasm StagingPrognosisRegistriesRetrospective StudiesSurvival AnalysisAfrican–AmericanAgeBreastCancerHispanicPredictorsYoung

Identifiers

PMID29247440
PMCPMC6301053

What OpenQuestion holds

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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.