Evidence map›Paper›PMID 26467773›Full record

ArticleBMC cancer2015

Representativeness of breast cancer cases in an integrated health care delivery system.

Scarlett Lin Gomez, Salma Shariff-Marco, Julie Von Behren, Marilyn L Kwan, Candyce H Kroenke, Theresa H M Keegan, Peggy Reynolds, Lawrence H Kushi

Abstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Evaluating the role of palliative care in emergency department opioid use among advanced cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Differences in Smoking Behavior by Nativity, Race/Ethnicity, and Education among Women Diagnosed with Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  17. Article
  18. Hypothetical Interventions on Diet Quality and Lifestyle Factors to Improve Breast Cancer Survival: The Pathways Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  19. Integrating Electronic Health Record, Cancer Registry, and Geospatial Data to Study Lung Cancer in Asian American, Native Hawaiian, and Pacific Islander Ethnic Groups.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Article
  20. Population-Based Registry Linkages to Improve Validity of Electronic Health Record-Based Cancer Research.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    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

8 authors.

Scarlett Lin GomezCancer Prevention Institute of California, 2201 Walnut Avenue, Suite 300, Fremont, CA, 94538, USA. scarlett@cpic.org.
Salma Shariff-MarcoCancer Prevention Institute of California, 2201 Walnut Avenue, Suite 300, Fremont, CA, 94538, USA. salma.shariff-marco@cpic.org.
Julie Von BehrenCancer Prevention Institute of California, 2001 Center Street, Suite 700, Berkeley, CA, 94704, USA. julie.vonbehren@cpic.org.
Marilyn L KwanDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, USA. marilyn.l.kwan@kp.org.
Candyce H KroenkeDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, USA. candyce.h.kroenke@kp.org.
Theresa H M KeeganCancer Prevention Institute of California, 2201 Walnut Avenue, Suite 300, Fremont, CA, 94538, USA. theresa.keegan@cpic.org.
Peggy ReynoldsCancer Prevention Institute of California, 2001 Center Street, Suite 700, Berkeley, CA, 94704, USA. peggy.reynolds@cpic.org.
Lawrence H KushiDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, USA. larry.kushi@kp.org.

Funding

CALIFORNIA'S PARTICIPATION IN THE NATIONAL CANCER PREVENTION AND CONTRO PROGRAMU58DP000807 · DP · PUBLIC HEALTH INSTITUTE · PI SNIPES, KURT P · 2007 to 2011
$22.5M
Prospective Study of Breast Cancer SurvivorshipR01CA105274 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KUSHI, LAWRENCE H · 2004 to 2014
$19.9M
CRN4: Cancer Research Resources & Collaboration in Integrated Health Care SystemsU24CA171524 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KUSHI, LAWRENCE H · 2012 to 2016
$16.0M
NCCDPHP CDC HHS U58 DP000807NCI NIH HHS HHSN261201000034CNCI NIH HHS HHSN261201000035CNCI NIH HHS HHSN261201000035INCI NIH HHS HHSN261201000140CNCI NIH HHS R01 CA105274NCI NIH HHS U24 CA171524
6 · The paper itself

Abstract

backgroundIntegrated health care delivery systems, with their comprehensive and integrated electronic medical records (EMR), are well-poised to conduct research that leverages the detailed clinical data within the EMRs. However, information regarding the representativeness of these clinical populations is limited, and thus the generalizability of research findings is uncertain.

methodsUsing data from the population-based California Cancer Registry, we compared age-adjusted distributions of patient and neighborhood characteristics for three groups of breast cancer patients: 1) those diagnosed within Kaiser Permanente Northern California (KPNC), 2) non-KPNC patients from NCI-designated cancer centers, and 3) those from all other hospitals.

resultsKPNC patients represented 32 % (N = 36,109); cancer center patients represented 7 % (N = 7805); and all other hospitals represented 61 % (N = 68,330) of the total breast cancer patients from this geographic area during 1996-2009. Compared with cases from all other hospitals, KPNC had slightly fewer non-Hispanic Whites (70.6 % versus 74.4 %) but more Blacks (8.1 % versus 5.0 %), slightly more patients in the 50-69 age range and fewer in the younger and older age groups, a slightly lower proportion of in situ but higher proportion of stage I disease (41.6 % versus 38.9 %), were slightly less likely to reside in the lowest (4.2 % versus 6.5 %) and highest (36.2 % versus 39.0 %) socioeconomic status neighborhoods, and more likely to live in suburban metropolitan areas and neighborhoods with more racial/ethnic minorities. Cancer center patients differed substantially from patients from KPNC and all other hospitals on all characteristics assessed. All differences were statistically significant (p < .001).

conclusionsAlthough much of clinical research discoveries are based in academic medical centers, patients from large, integrated medical centers are likely more representative of the underlying population, providing support for the generalizability of cancer research based on electronic data from these centers.

Indexed as

Delivery of Health Care, IntegratedAdultAgedBreast NeoplasmsCaliforniaElectronic Health RecordsEthnicityFemaleHumansMiddle AgedPopulation SurveillanceRegistriesSEER Program

Identifiers

PMID26467773
PMCPMC4604822

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.