Evidence map›Paper›PMID 28696184›Full record

ArticleRadiology2017

Insurance Coverage for CT Colonography Screening: Impact on Overall Colorectal Cancer Screening Rates.

Maureen A Smith, Jennifer M Weiss, Aaron Potvien, Jessica R Schumacher, Ronald E Gangnon, David H Kim, Lauren A Weeth-Feinstein, Perry J Pickhardt

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Disparities of Distant Metastasis Evaluation Imaging for Rectal Cancer.Journal of the American College of Radiology : JACR · 2025
    Article
  5. Article
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  7. Article
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  9. Article
  10. Impact of Insurance Status on Stage, Treatment, and Survival in Patients with Colorectal Cancer: A Population-Based Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  11. Article
  12. Article
  13. Article
  14. Review
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 at 1 institution in 1 country.

Maureen A SmithFrom the Department of Population Health Sciences (M.A.S.), Department of Family Medicine and Community Health (M.A.S.), Department of Surgery (M.A.S., J.R.S.), Department of Medicine, Division of Gastroenterology and Hepatology (J.M.W., L.A.W.F.), Department of Biostatistics and Medical Informatics (R.E.G.), and Department of Radiology (D.H.K., P.J.P.), University of Wisconsin-Madison School of Medicine and Public Health, 800 University Bay Dr, Room 210-31, Madison, WI 53705; University of Wisconsin Carbone Cancer Center, Madison, Wis (M.A.S., J.M.W., R.E.G., D.H.K., L.A.W.F., P.J.P.); and Department of Statistics, University of Wisconsin-Madison College of Letters & Science, Madison, Wis (A.P.).
Jennifer M WeissFrom the Department of Population Health Sciences (M.A.S.), Department of Family Medicine and Community Health (M.A.S.), Department of Surgery (M.A.S., J.R.S.), Department of Medicine, Division of Gastroenterology and Hepatology (J.M.W., L.A.W.F.), Department of Biostatistics and Medical Informatics (R.E.G.), and Department of Radiology (D.H.K., P.J.P.), University of Wisconsin-Madison School of Medicine and Public Health, 800 University Bay Dr, Room 210-31, Madison, WI 53705; University of Wisconsin Carbone Cancer Center, Madison, Wis (M.A.S., J.M.W., R.E.G., D.H.K., L.A.W.F., P.J.P.); and Department of Statistics, University of Wisconsin-Madison College of Letters & Science, Madison, Wis (A.P.).
Aaron PotvienFrom the Department of Population Health Sciences (M.A.S.), Department of Family Medicine and Community Health (M.A.S.), Department of Surgery (M.A.S., J.R.S.), Department of Medicine, Division of Gastroenterology and Hepatology (J.M.W., L.A.W.F.), Department of Biostatistics and Medical Informatics (R.E.G.), and Department of Radiology (D.H.K., P.J.P.), University of Wisconsin-Madison School of Medicine and Public Health, 800 University Bay Dr, Room 210-31, Madison, WI 53705; University of Wisconsin Carbone Cancer Center, Madison, Wis (M.A.S., J.M.W., R.E.G., D.H.K., L.A.W.F., P.J.P.); and Department of Statistics, University of Wisconsin-Madison College of Letters & Science, Madison, Wis (A.P.).
Jessica R SchumacherFrom the Department of Population Health Sciences (M.A.S.), Department of Family Medicine and Community Health (M.A.S.), Department of Surgery (M.A.S., J.R.S.), Department of Medicine, Division of Gastroenterology and Hepatology (J.M.W., L.A.W.F.), Department of Biostatistics and Medical Informatics (R.E.G.), and Department of Radiology (D.H.K., P.J.P.), University of Wisconsin-Madison School of Medicine and Public Health, 800 University Bay Dr, Room 210-31, Madison, WI 53705; University of Wisconsin Carbone Cancer Center, Madison, Wis (M.A.S., J.M.W., R.E.G., D.H.K., L.A.W.F., P.J.P.); and Department of Statistics, University of Wisconsin-Madison College of Letters & Science, Madison, Wis (A.P.).
Ronald E GangnonFrom the Department of Population Health Sciences (M.A.S.), Department of Family Medicine and Community Health (M.A.S.), Department of Surgery (M.A.S., J.R.S.), Department of Medicine, Division of Gastroenterology and Hepatology (J.M.W., L.A.W.F.), Department of Biostatistics and Medical Informatics (R.E.G.), and Department of Radiology (D.H.K., P.J.P.), University of Wisconsin-Madison School of Medicine and Public Health, 800 University Bay Dr, Room 210-31, Madison, WI 53705; University of Wisconsin Carbone Cancer Center, Madison, Wis (M.A.S., J.M.W., R.E.G., D.H.K., L.A.W.F., P.J.P.); and Department of Statistics, University of Wisconsin-Madison College of Letters & Science, Madison, Wis (A.P.).
David H KimFrom the Department of Population Health Sciences (M.A.S.), Department of Family Medicine and Community Health (M.A.S.), Department of Surgery (M.A.S., J.R.S.), Department of Medicine, Division of Gastroenterology and Hepatology (J.M.W., L.A.W.F.), Department of Biostatistics and Medical Informatics (R.E.G.), and Department of Radiology (D.H.K., P.J.P.), University of Wisconsin-Madison School of Medicine and Public Health, 800 University Bay Dr, Room 210-31, Madison, WI 53705; University of Wisconsin Carbone Cancer Center, Madison, Wis (M.A.S., J.M.W., R.E.G., D.H.K., L.A.W.F., P.J.P.); and Department of Statistics, University of Wisconsin-Madison College of Letters & Science, Madison, Wis (A.P.).
Lauren A Weeth-FeinsteinFrom the Department of Population Health Sciences (M.A.S.), Department of Family Medicine and Community Health (M.A.S.), Department of Surgery (M.A.S., J.R.S.), Department of Medicine, Division of Gastroenterology and Hepatology (J.M.W., L.A.W.F.), Department of Biostatistics and Medical Informatics (R.E.G.), and Department of Radiology (D.H.K., P.J.P.), University of Wisconsin-Madison School of Medicine and Public Health, 800 University Bay Dr, Room 210-31, Madison, WI 53705; University of Wisconsin Carbone Cancer Center, Madison, Wis (M.A.S., J.M.W., R.E.G., D.H.K., L.A.W.F., P.J.P.); and Department of Statistics, University of Wisconsin-Madison College of Letters & Science, Madison, Wis (A.P.).
Perry J PickhardtFrom the Department of Population Health Sciences (M.A.S.), Department of Family Medicine and Community Health (M.A.S.), Department of Surgery (M.A.S., J.R.S.), Department of Medicine, Division of Gastroenterology and Hepatology (J.M.W., L.A.W.F.), Department of Biostatistics and Medical Informatics (R.E.G.), and Department of Radiology (D.H.K., P.J.P.), University of Wisconsin-Madison School of Medicine and Public Health, 800 University Bay Dr, Room 210-31, Madison, WI 53705; University of Wisconsin Carbone Cancer Center, Madison, Wis (M.A.S., J.M.W., R.E.G., D.H.K., L.A.W.F., P.J.P.); and Department of Statistics, University of Wisconsin-Madison College of Letters & Science, Madison, Wis (A.P.).
University of Wisconsin Carbone Cancer Center · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI AMY TRENTHAM-DIETZ · 1985 to 2026
$142.6M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Virtual Colonoscopy and Colorectal Cancer ScreeningR01CA144835 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI PICKHARDT, PERRY, SMITH, MAUREEN A · 2010 to 2013
$2.1M
NCATS NIH HHS UL1 TR000427NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA144835
6 · The paper itself

Abstract

Purpose To compare overall colorectal cancer (CRC) screening rates for patients who were eligible and due for CRC screening and who were with and without insurance coverage for computed tomographic (CT) colonography for CRC screening. Materials and Methods The institutional review board approved this retrospective cohort study, with a waiver of consent. This study used longitudinal electronic health record data from 2005 through 2010 for patients managed by one of the largest multispecialty physician groups in the United States. It included 33 177 patients under age 65 who were eligible and due for CRC screening and managed by the participating health system. Stratified Cox regression models provided propensity-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for the relationship between CT colonography coverage and CRC screening. Results After adjustment, patients who had insurance coverage for CT colonography and were due for CRC screening had a 48% greater likelihood of being screened for CRC by any method compared with those without coverage who were due for CRC screening (HR, 1.48; 95% CI: 1.41, 1.55). Similarly, patients with CT colonography coverage had a greater likelihood of being screened with CT colonography (HR, 8.35; 95% CI: 7.11, 9.82) and with colonoscopy (HR, 1.38; 95% CI: 1.31, 1.45) but not with fecal occult blood test (HR, 1.00; 95% CI: 0.91, 1.10) than those without such insurance coverage. Conclusion Insurance coverage of CT colonography for CRC screening was associated with a greater likelihood of a patient being screened and a greater likelihood of being screened with a test that helps both to detect cancer and prevent cancer from developing (CT colonography or colonoscopy).

Indexed as

Colonography, Computed TomographicColorectal NeoplasmsEarly Detection of CancerFemaleHumansInsurance CoverageMaleMiddle AgedRetrospective StudiesUnited States

Identifiers

PMID28696184
PMCPMC5584666
OpenAlexW2736210687

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.