Evidence map›Paper›PMID 30209542›Full record

ArticleAbdominal radiology (New York)2019

Comparison of extracolonic findings and clinical outcomes in a screening and diagnostic CT colonography population.

Michio Taya, Cody McHargue, Zina J Ricci, Milana Flusberg, Stefanie Weinstein, Judy Yee

Open access · greenAbstract readComparative Study
In one paragraph

Article in Abdominal radiology (New York), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. EXTRACOLONIC FINDINGS-IDENTIFICATION AT LOW-DOSE CTC.Radiation protection dosimetry · 2021
    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

6 authors at 2 institutions in 1 country.

Michio TayaDepartment of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA. michio.taya@virginiamason.org.ORCID 0000-0002-7246-378X
Cody McHargueDepartment of Radiology, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA.
Zina J RicciDepartment of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
Milana FlusbergDepartment of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
Stefanie WeinsteinDepartment of Radiology, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA.
Judy YeeDepartment of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
Albert Einstein College of Medicine · USSan Francisco VA Medical Center · US

Funding

CTSA Administrative Supplement for Informatics Core: A novel AI/ML system to predict respiratory failure and ARDS in Covid-19 patientsUL1TR002556 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, KIM, MIMI Y · 2018 to 2022
$26.7M
Core-010UL1TR001073 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, SHAMOON, HARRY · 2013 to 2017
$21.3M
NCATS NIH HHS UL1 TR001073NCATS NIH HHS UL1 TR002556
6 · The paper itself

Abstract

purposeTo compare the distribution of extracolonic findings and clinical outcomes between screening and diagnostic CT colonography (CTC) populations.

methods388 consecutive patients (369 men, 19 women; mean ± SD age 67.8 ± 10 years) who underwent first-time CTC (4/2011-4/2017) at a Veteran's Affairs Medical Center were divided into screening (asymptomatic) or diagnostic (symptomatic) cohorts based on CTC indication. CTC reporting and data system E-scores for extracolonic findings were retrospectively assigned based on prospective CTC radiologic reports. Multinomial logistic regression was used to examine the association between E-scores and CTC indication. Electronic medical records of all patients with E3 or E4 scores were reviewed (median follow-up 2.8 years) to determine clinical outcomes.

results68% (262/388) underwent screening and 32% (126/388) diagnostic CTC. 7.2% (28/388) had extracolonic findings considered potentially significant (E4), 4.4% (17/388) had indeterminate but likely unimportant findings (E3), and 88.4% (347/388) had normal or unimportant findings (E1 or E2). E-scores were not significantly different between screening and diagnostic CTC when adjusted for age, gender, and prior imaging (p = 0.44). 4.6% (12/262) of patients with E3/E4 findings in the screening cohort demonstrated clinically significant outcomes, compared with 4.0% (5/126) in the diagnostic cohort, including a total of three extracolonic malignancies (0.8%) and three abdominal aortic aneurysms (0.8%). 4.6% (18/388) underwent follow-up imaging studies to confirm a benign outcome after detection of a category E3/E4 finding.

conclusionsThe distribution of extracolonic findings and clinical outcomes were not statistically significantly different between screening and diagnostic CTC populations.

Indexed as

Incidental FindingsAgedAneurysmCohort StudiesColonography, Computed TomographicFemaleFollow-Up StudiesHumansLung DiseasesMaleNeoplasmsProspective StudiesRetrospective StudiesC-RADSCT colonographyExtracolonic findingsScreening

Identifiers

PMID30209542
PMCPMC6408265
OpenAlexW2890533678

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.