Evidence map›Paper›PMID 23539282›Full record

ArticleJournal of general internal medicine2013

Predictors of CT colonography utilization among asymptomatic medicare beneficiaries.

Hanna M Zafar, Jianing Yang, Michael Harhay, Anna Lev-Toaff, Katrina Armstrong

Abstract readComparative Study
In one paragraph

Article in Journal of general internal medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Hanna M ZafarDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA. Hanna.zafar@uphs.upenn.edu
Jianing Yang
Michael Harhay
Anna Lev-Toaff
Katrina Armstrong

Funding

Career Development in Comparative Effectiveness ResearchKM1CA156715 · NCI · UNIVERSITY OF PENNSYLVANIA · PI METLAY, JOSHUA P · 2010 to 2010
$2.5M
NCI NIH HHS 1-KM-CA156715-01NCI NIH HHS KM1 CA156715
6 · The paper itself

Abstract

backgroundAlthough the Centers for Medicare and Medicaid Services (CMS) denied coverage for screening computed tomography colonography (CTC) in March 2009, little is understood about whether CTC was targeted to the appropriate patient population prior to this decision.

objectiveEvaluate patient characteristics and known relative clinical indications for screening CTC among patients who received CTC compared to optical colonoscopy (OC). DESIGN/

participantsCross-sectional study of all 10,538 asymptomatic Medicare beneficiaries who underwent CTC between January 2007 and December 2008, compared to a cohort of 160,113 asymptomatic beneficiaries who underwent OC, matched on county of residence and year of examination. MAIN MEASURES: Patient characteristics and known relative appropriate and inappropriate clinical indications for screening CTC. KEY

resultsCTC utilization was higher among women, patients > 65 years of age, white patients, and those with household income > 75 % (p = 0.001). Patients with relatively appropriate clinical indications for screening CTC were more likely to undergo CTC than OC including presumed incomplete OC (OR 80.7, 95 % CI 76.01-85.63); sedation risk (OR 1.11, 95 % CI 1.05-1.17); and chronic anticoagulation risk (OR 1.46, 95 % CI 1.38-1.54), after adjusting for patient characteristics and known clinical indications. Conversely, patients undergoing high-risk screening, an inappropriate indication, were less likely to receive CTC (OR 0.4, 95 % CI 0.37-0.42). Overall, 83 % of asymptomatic patients referred to CTC had at least one clinical indication relatively appropriate for CTC (8,772/10,538).

conclusionDuring the 2 years preceding CMS denial for screening, CTC was targeted to asymptomatic patients with relatively appropriate clinical indications for CTC/not receiving OC. However, CTC utilization was lower among certain demographic groups, including minority patients. These findings raise the possibility that future coverage of screening CTC might exacerbate disparities in colorectal cancer screening while increasing overall screening rates.

Indexed as

AgedAged, 80 and overAge FactorsColonography, Computed TomographicColonoscopyColorectal NeoplasmsComorbidityCross-Sectional StudiesEarly Detection of CancerFemaleHealthcare DisparitiesHumansMaleMedicareMiddle AgedSex Factors

Identifiers

PMID23539282
PMCPMC3744296

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Registered trials

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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.