Evidence map›Paper›PMID 24830599›Full record

ReviewCancer2014

Breast cancer screening in an era of personalized regimens: a conceptual model and National Cancer Institute initiative for risk-based and preference-based approaches at a population level.

Tracy Onega, Elisabeth F Beaber, Brian L Sprague, William E Barlow, Jennifer S Haas, Anna N A Tosteson, Mitchell D Schnall, Katrina Armstrong, Marilyn M Schapira, Berta Geller and 2 more

Abstract readReview
In one paragraph

Review in Cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 2 pooled it
–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

75 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Primary Care Providers' Experiences Recommending and Performing Cervical Cancer Screening for Women with Intellectual Disabilities: A Qualitative Study.Journal of cancer education : the official journal of the American Association for Cancer Education · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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  18. Evaluating and Improving Cancer Screening Process Quality in a Multilevel Context: The PROSPR II Consortium Design and Research Agenda.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  19. Review
  20. Article

15 more citing papers are in PubMed but not listed here.

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

12 authors.

Tracy OnegaDepartment of Community & Family Medicine and The Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Norris Cotton Cancer Center, Lebanon, New Hampshire.
Elisabeth F Beaber
Brian L Sprague
William E Barlow
Jennifer S Haas
Anna N A Tosteson
Mitchell D Schnall
Katrina Armstrong
Marilyn M Schapira
Berta Geller
Donald L Weaver
Emily F Conant

Funding

Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer, MITCHELL D. SCHNALL · 2014 to 2026
$167.6M
Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
TUBERCULOSIS INTERNATIONAL TRAINING AND RESEARCH PROGRAMD43TW000018 · FIC · WEILL MEDICAL COLL OF CORNELL UNIV · PI JOHNSON, WARREN DOUGLAS · 1988 to 2012
$16.1M
PROSPR Statistical Coordinating Center (PSCC)U01CA163304 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BARLOW, WILLIAM E, THORNQUIST, MARK · 2011 to 2017
$7.5M
Penn Center for Innovation in Personalized Breast ScreeningU54CA163313 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ARMSTRONG, KATRINA, SCHNALL, MITCHELL D. · 2011 to 2017
$7.4M
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
Promoting personalized decisions for breast cancer screening for women AND theirU54CA163307 · NCI · DARTMOUTH COLLEGE · PI HAAS, JENNIFER S, ONEGA, TRACY · 2011 to 2017
$6.1M
FIC NIH HHS D43 TW000018NCI NIH HHS P30 CA023108NCI NIH HHS U01 CA163304NCI NIH HHS U10 CA180820NCI NIH HHS U54 CA163303NCI NIH HHS U54 CA163307NCI NIH HHS U54 CA163313NCI NIH HHS U54CA163313
6 · The paper itself

Abstract

Breast cancer screening holds a prominent place in public health, health care delivery, policy, and women's health care decisions. Several factors are driving shifts in how population-based breast cancer screening is approached, including advanced imaging technologies, health system performance measures, health care reform, concern for "overdiagnosis," and improved understanding of risk. Maximizing benefits while minimizing the harms of screening requires moving from a "1-size-fits-all" guideline paradigm to more personalized strategies. A refined conceptual model for breast cancer screening is needed to align women's risks and preferences with screening regimens. A conceptual model of personalized breast cancer screening is presented herein that emphasizes key domains and transitions throughout the screening process, as well as multilevel perspectives. The key domains of screening awareness, detection, diagnosis, and treatment and survivorship are conceptualized to function at the level of the patient, provider, facility, health care system, and population/policy arena. Personalized breast cancer screening can be assessed across these domains with both process and outcome measures. Identifying, evaluating, and monitoring process measures in screening is a focus of a National Cancer Institute initiative entitled PROSPR (Population-based Research Optimizing Screening through Personalized Regimens), which will provide generalizable evidence for a risk-based model of breast cancer screening, The model presented builds on prior breast cancer screening models and may serve to identify new measures to optimize benefits-to-harms tradeoffs in population-based screening, which is a timely goal in the era of health care reform.

Indexed as

Early Detection of CancerMagnetic Resonance ImagingMammographyMass ScreeningPrecision MedicineAdultAgedBreast NeoplasmsDecision MakingEvidence-Based MedicineFalse Positive ReactionsFemaleHumansMiddle AgedNational Cancer Institute (U.S.)Practice Guidelines as Topicbreast cancerguidelinesmammographyprocess of carescreening

Identifiers

PMID24830599
PMCPMC4342235

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.