Evidence map›Paper›PMID 26181021›Full record

ArticleJAMA oncology2015

Regional-Level Correlations in Inappropriate Imaging Rates for Prostate and Breast Cancers: Potential Implications for the Choosing Wisely Campaign.

Danil V Makarov, Pamela R Soulos, Heather T Gold, James B Yu, Sounok Sen, Joseph S Ross, Cary P Gross

Abstract read
In one paragraph

Article in JAMA oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
20.1field-weighted citation impact, top 1% of its field
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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Sociodemographic disparities in prostate cancer imaging.Abdominal radiology (New York) · 2026
    Review
  5. Article
  6. Systematic review of interventions that improve provider compliance to imaging guidelines for prostate cancer.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Trends in the Cost of Cancer Care: Beyond Drugs.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2020
    Review
  15. Facts and Fears in Public Reporting: Patients' Information Needs and Priorities When Selecting a Hospital for Cancer Care.Medical decision making : an international journal of the Society for Medical Decision Making · 2019
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Relation Between Narrow Networks and Providers of Cancer Care.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Danil V MakarovUS Department of Veterans Affairs, Washington, DC2Department of Urology, New York University School of Medicine, New York3Department of Population Health, New York University School of Medicine, New York4New York University Cancer Institute, New York.
Pamela R SoulosCancer Outcomes, Public Policy and Effectiveness Research (COPPER) Center, Yale University, New Haven, Connecticut6Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Heather T GoldDepartment of Population Health, New York University School of Medicine, New York4New York University Cancer Institute, New York7Department of Medicine, New York University School of Medicine, New York.
James B YuCancer Outcomes, Public Policy and Effectiveness Research (COPPER) Center, Yale University, New Haven, Connecticut8Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut.
Sounok SenCancer Outcomes, Public Policy and Effectiveness Research (COPPER) Center, Yale University, New Haven, Connecticut.
Joseph S RossCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut10Section of General Internal Medicine, Department of Medicine, Yale University School of Medicine, New Haven, Connecticut11Department of Health Policy and Managem.
Cary P GrossCancer Outcomes, Public Policy and Effectiveness Research (COPPER) Center, Yale University, New Haven, Connecticut6Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut12Department of Epidemiology and Public Health, Y.
Yale University · USNew York University · USYale Cancer Center · US

Funding

Impact of Publicity Reporting Hospital Outcome Measures for Older AdultsK08AG032886 · NIA · YALE UNIVERSITY · PI ROSS, JOSEPH SOLOMON · 2008 to 2012
$738k
Optimizing Imaging Use Among Veterans with Prostate CancerIK2HX000851 · VA · VA MEDICAL CENTER · PI MAKAROV, DANIL V. · 2014 to 2015
–
HSRD VA IK2 HX000851NCI NIH HHS N01 PC035136NCI NIH HHS N01 PC035139NCI NIH HHS N01-PC-35136NCI NIH HHS N01-PC-35139NCI NIH HHS N02 PC015105NIA NIH HHS K08 AG032886PHS HHS U55/CCR921930-02
6 · The paper itself

Abstract

importanceThe association between regional norms of clinical practice and appropriateness of care is incompletely understood. Understanding regional patterns of care across diseases might optimize implementation of programs like Choosing Wisely, an ongoing campaign to decrease wasteful medical expenditures.

objectiveTo determine whether regional rates of inappropriate prostate and breast cancer imaging were associated. DESIGN, SETTING, AND

participantsRetrospective cohort study using the the Surveillance, Epidemiology, and End Results-Medicare linked database. We identified patients diagnosed from 2004 to 2007 with low-risk prostate (clinical stage T1c/T2a; Gleason score, ≤6; and prostate-specific antigen level, <10 ng/mL) or breast cancer (in situ, stage I, or stage II disease), based on Choosing Wisely definitions. MAIN OUTCOMES AND MEASURES: In a hospital referral region (HRR)-level analysis, our dependent variable was HRR-level imaging rate among patients with low-risk prostate cancer. Our independent variable was HRR-level imaging rate among patients with low-risk breast cancer. In a subsequent patient-level analysis we used multivariable logistic regression to model prostate cancer imaging as a function of regional breast cancer imaging and vice versa.

resultsWe identified 9219 men with prostate cancer and 30,398 women with breast cancer residing in 84 HRRs. We found high rates of inappropriate imaging for both prostate cancer (44.4%) and breast cancer (41.8%). In the first, second, third, and fourth quartiles of breast cancer imaging, inappropriate prostate cancer imaging was 34.2%, 44.6%, 41.1%, and 56.4%, respectively. In the first, second, third, and fourth quartiles of prostate cancer imaging, inappropriate breast cancer imaging was 38.1%, 38.4%, 43.8%, and 45.7%, respectively. At the HRR level, inappropriate prostate cancer imaging rates were associated with inappropriate breast cancer imaging rates (ρ = 0.35; P < .01). At the patient level, a man with low-risk prostate cancer had odds ratios (95% CIs) of 1.72 (1.12-2.65), 1.19 (0.78-1.81), or 1.76 (1.15-2.70) for undergoing inappropriate prostate imaging if he lived in an HRR in the fourth, third, or second quartiles, respectively, of inappropriate breast cancer imaging, compared with the lowest quartile. CONCLUSIONS AND RELEVANCE: At a regional level, there is an association between inappropriate prostate and breast cancer imaging rates. This finding suggests the existence of a regional-level propensity for inappropriate imaging utilization, which may be considered by policymakers seeking to improve quality of care and reduce health care spending in high-utilization areas.

Indexed as

Catchment Area, HealthAgedAged, 80 and overBreast NeoplasmsChi-Square DistributionDiagnostic ImagingFemaleGuideline AdherenceHumansLogistic ModelsMaleMedicareMultivariate AnalysisPractice Guidelines as TopicPractice Patterns, Physicians'Predictive Value of Tests

Identifiers

PMID26181021
PMCPMC4707944
OpenAlexW2067374522

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.