Evidence map›Paper›PMID 25369150›Full record

ArticleCancer2015

Patterns of locoregional treatment for nonmetastatic breast cancer by patient and health system factors.

Roger T Anderson, Cyllene R Morris, Gretchen Kimmick, Amy Trentham-Dietz, Fabian Camacho, Xiao-Cheng Wu, Susan A Sabatino, Steven T Fleming, Joseph Lipscomb

Abstract read
In one paragraph

Article in Cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. 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

9 authors.

Roger T AndersonUniversity of Virginia School of Medicine, Charlottesville, Virginia.
Cyllene R Morris
Gretchen Kimmick
Amy Trentham-Dietz
Fabian Camacho
Xiao-Cheng Wu
Susan A Sabatino
Steven T Fleming
Joseph Lipscomb

Funding

Patterns of Patient Care in AppalachiaR01CA140335 · NCI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI ANDERSON, ROGER T. · 2010 to 2012
$1.3M
Breast and Prostate Cancer Data Quality and Patterns of Care StudyU01DP000253 · DP · LSU HEALTH SCIENCES CENTER · PI WU, XIAOCHENG · 2005 to 2009
$792k
Wisconsin Cancer Registry Evaluation: Patterns of Care StudyU01DP000261 · DP · MEDICAL COLLEGE OF WISCONSIN · PI WILSON, JESSE FRANK · 2005 to 2009
$716k
Breast and Prostate Cancer Patterns of CareU01DP000260 · DP · PUBLIC HEALTH INSTITUTE · PI CRESS, ROSEMARY DONALDSON · 2005 to 2009
$693k
Breast and Prostate Cancer Data Quality and Patterns of Care Study in NCU01DP000264 · DP · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ANDERSON, ROGER T. · 2005 to 2009
$680k
Breast and Prostate Cancer Patterns of Care in KentuckyU01DP000251 · DP · UNIVERSITY OF KENTUCKY · PI FLEMING, STEVEN THOMAS · 2005 to 2009
$640k
Breast and Prostate Cancer Data Quality and Patterns of Care StudyU01DP000258 · DP · EMORY UNIVERSITY · PI LIPSCOMB, JOSEPH · 2005 to 2009
$629k
Breast and Prostate Cancer Data Quality and Patterns of Care StudyU01DP000259 · DP · MINNESOTA STATE DEPT OF HEALTH · PI PERKINS, CARIN IRENE · 2005 to 2007
$575k
NCCDPHP CDC HHS 1-U01-DP000251NCCDPHP CDC HHS 1-U01-DP000253NCCDPHP CDC HHS 1-U01-DP000258NCCDPHP CDC HHS 1-U01-DP000259NCCDPHP CDC HHS 1-U01-DP000260NCCDPHP CDC HHS 1-U01-DP000261NCCDPHP CDC HHS 1-U01-DP000264NCCDPHP CDC HHS U01 DP000251NCCDPHP CDC HHS U01 DP000253NCCDPHP CDC HHS U01 DP000258NCCDPHP CDC HHS U01 DP000259NCCDPHP CDC HHS U01 DP000260NCCDPHP CDC HHS U01 DP000261NCCDPHP CDC HHS U01 DP000264NCI NIH HHS R01 CA140335
6 · The paper itself

Abstract

backgroundThe purpose of this study was to examine local definitive therapy for nonmetastatic breast cancer with the Patterns of Care Breast and Prostate Cancer (POCBP) study of the National Program of Cancer Registries (Centers for Disease Control and Prevention).

methodsPOCBP medical record data were re-abstracted in 7 state/regional registry systems (Georgia, North Carolina, Kentucky, Louisiana, Wisconsin, Minnesota, and California) to verify data quality and assess treatment patterns in the population. National Comprehensive Cancer Network clinical practice treatment guidelines were aligned with American Joint Committee on Cancer staging at diagnosis to appraise care.

resultsSix thousand five hundred five of 9142 patients with registry-confirmed breast cancer were coded as having primary disease with stage 0 to IIIA tumors and were included in the study. Approximately 88% received guideline-concordant locoregional treatment. However, this outcome varied by age group: 92% of women < age 50 versus 80% of women ≥ age 70 years old received guideline care (P < 0.01). Characteristics that best discriminated receipt (no/yes) of guideline-concordant care in receiver operating curve analyses were the receipt of breast-conserving surgery (BCS) versus mastectomy (C = 0.70), patient age (C = 0.62), a greater tumor stage (C = 0.60), public insurance (C = 0.58), and the presence of at least mild comorbidity (C = 0.55). Radiation therapy (RT) after BCS was the most omitted treatment component causing nonconcordance in the study population. In multivariate regression, the effects of the treatment facility, ductal carcinoma in situ, race, and comorbidity on nonconcordant care differed by age group.

conclusionsPatterns of underuse of standard therapies for breast cancer vary by age group and BCS use, with which there is a risk of omission of RT.

Indexed as

Guideline AdherenceAdultAgedBreast NeoplasmsFemaleHumansMastectomy, SegmentalMedical RecordsMiddle AgedPractice Guidelines as TopicRegistriesUnited Statesbreast cancerbreast-conserving surgery (BCS)cancer registrydisparitynonmetastatic

Identifiers

PMID25369150
PMCPMC4339309

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.