Evidence map›Paper›PMID 35788368›Full record

ReviewJournal of the National Cancer Institute. Monographs2022

Health Economics Research in Cancer Screening: Research Opportunities, Challenges, and Future Directions.

Ya-Chen Tina Shih, Lindsay M Sabik, Natasha K Stout, Michael T Halpern, Joseph Lipscomb, Scott Ramsey, Debra P Ritzwoller

Abstract readReview
In one paragraph

Review in Journal of the National Cancer Institute. Monographs, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Mammographic screening: hero or villain.Revista da Associacao Medica Brasileira (1992) · 2025
    Article
  6. Data gaps and opportunities for modeling cancer health equity.Journal of the National Cancer Institute. Monographs · 2023
    Article
  7. Review
  8. Article
  9. Review
  10. Cancer Health Economics Research: The Future Is Now.Journal of the National Cancer Institute. Monographs · 2022
    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

7 authors.

Ya-Chen Tina ShihSection of Cancer Economics and Policy, Department of Health Services Research, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Lindsay M SabikDepartment of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
Natasha K StoutDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Michael T HalpernHealthcare Delivery Research Program, National Cancer Institute, Bethesda, MD, USA.
Joseph LipscombDepartment of Health Policy and Management, Rollins School of Public Health, and the Winship Cancer Institute, Emory University, Atlanta, GA, USA.
Scott RamseyHutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Institute, Seattle, WA, USA.
Debra P RitzwollerInstitute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA.

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
SWOG NCORP Research BaseUG1CA189974 · NCI · THE HOPE FOUNDATION · PI CHARLES D. BLANKE, DAWN HERSHMAN · 2014 to 2026
$80.6M
Center for Research to Optimize Precision Lung Cancer Screening in Diverse PopulationsUM1CA221939 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI RITZWOLLER, DEBRA P, VACHANI, ANIL · 2018 to 2023
$15.3M
Pragmatic Implementation Science Approaches to Assess and Enhance Value of Cancer Prevention and Control in Rural Primary CareP50CA244688 · NCI · UNIVERSITY OF COLORADO DENVER · PI GLASGOW, RUSSELL E · 2019 to 2023
$4.9M
Advanced Breast Imaging: Trends and Outcomes Associated with Recent Breast Density Reporting LegislationR01CA207373 · NCI · HARVARD PILGRIM HEALTH CARE, INC. · PI STOUT, NATASHA KAY · 2017 to 2020
$2.2M
Estimating the Cost Trajectories and Projecting the Cost of Cancer Care in the United States: Methodology and ApplicationR01CA225646 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LI, LIANG, SHIH, YA-CHEN TINA · 2018 to 2022
$1.8M
Technology Diffusion in Cancer: Geographic Variations, Facilitators, Outcomes, and CostsR01CA207216 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHIH, YA-CHEN TINA · 2016 to 2020
$1.6M
NCI NIH HHS P30 CA015704NCI NIH HHS P50 CA244688NCI NIH HHS R01 CA207216NCI NIH HHS R01CA207216NCI NIH HHS R01 CA207373NCI NIH HHS R01 CA225646NCI NIH HHS UG1 CA189974NHLBI NIH HHS UG1 CA189974
6 · The paper itself

Abstract

Cancer screening has long been considered a worthy public health investment. Health economics offers the theoretical foundation and research methodology to understand the demand- and supply-side factors associated with screening and evaluate screening-related policies and interventions. This article provides an overview of health economic theories and methods related to cancer screening and discusses opportunities for future research. We review 2 academic disciplines most relevant to health economics research in cancer screening: applied microeconomics and decision science. We consider 3 emerging topics: cancer screening policies in national as well as local contexts, "choosing wisely" screening practices, and targeted screening efforts for vulnerable subpopulations. We also discuss the strengths and weaknesses of available data sources and opportunities for methodological research and training. Recommendations to strengthen research infrastructure include developing novel data linkage strategies, increasing access to electronic health records, establishing curriculum and training programs, promoting multidisciplinary collaborations, and enhancing research funding opportunities.

Indexed as

Early Detection of CancerNeoplasmsEconomics, MedicalForecastingHumansPublic Health

Identifiers

PMID35788368
PMCPMC9255920

What OpenQuestion holds

Textmetadata
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.