Evidence map›Paper›PMID 25518028›Full record

ArticleClinics (Sao Paulo, Brazil)2014

Using computed tomography colonography in patients at high risk of colorectal cancer - a prospective study in a university hospital in South America.

Augusto Castelli von Atzingen, Dario Ariel Tiferes, Elizabeth Deak, Délcio Matos, Giuseppe D'Ippolito

Open access · goldAbstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–field-weighted citation impact, top 94% 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, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Patient-reported outcomes and measures applied in individuals undergoing colonoscopy surveillance for colorectal cancer: a scoping review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    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

5 authors at 1 institution in 1 country.

Augusto Castelli von AtzingenDivision of Abdominal Imaging, Department of Diagnostic Imaging, Federal University of São Paulo (UNIFESP), São Paulo, SP, Brazil.
Dario Ariel TiferesDivision of Abdominal Imaging, Department of Diagnostic Imaging, Federal University of São Paulo (UNIFESP), São Paulo, SP, Brazil.
Elizabeth DeakDivision of Gastroenterology, Section of Colon and Rectum Surgery, Department of Surgery, Federal University of São Paulo (UNIFESP), São Paulo, SP, Brazil.
Délcio MatosDivision of Gastroenterology, Section of Colon and Rectum Surgery, Department of Surgery, Federal University of São Paulo (UNIFESP), São Paulo, SP, Brazil.
Giuseppe D'IppolitoDivision of Abdominal Imaging, Department of Diagnostic Imaging, Federal University of São Paulo (UNIFESP), São Paulo, SP, Brazil.
Universidade Federal de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe purpose of our study was to report the results of the implementation of computed tomography colonography in a university hospital setting serving a Brazilian population at high risk of colorectal cancer.

methodsAfter creating a computed tomography colonography service in our institution, 85 patients at high risk of colorectal cancer underwent computed tomography colonography followed by a same-day optical colonoscopy from September 2010 to May 2012. The overall accuracy of computed tomography colonography in the detection of lesions ≥6 mm was compared to that of optical colonoscopy (direct comparison). All colonic segments were evaluated using quality imaging (amount of liquid and solid residual feces and luminal distension). To assess patient acceptance and preference, a questionnaire was completed before and after the computed tomography colonography and optical colonoscopy. Fisher's exact test was used to measure the correlations between colonic distension, discomfort during the exam, exam preference and interpretation confidence.

resultsThirteen carcinomas and twenty-two lesions ≥6 mm were characterized. The sensitivity, specificity and accuracy of computed tomography colonography were 100%, 98.2% and 98.6%, respectively. Computed tomography colonography was the preferred method of investigation for 85% of patients. The preparation was reported to cause only mild discomfort for 97.6% of patients. According to the questionnaires, there was no significant relationship between colonic distension and discomfort (p>0.05). Most patients (89%) achieved excellent bowel preparation. There was a statistically significant correlation between the confidence perceived in reading the computed tomography colonography and the quality of the preparation in each colonic segment (p≤0.001). The average effective radiation dose per exam was 7.8 mSv.

conclusionIt was possible to institute an efficient computed tomography colonography service at a university hospital that primarily assists patients from the public health system, with high accuracy, good acceptance and effective radiation doses. Our results seem to be comparable to other centers of excellence and fall within acceptable published guidelines, showing that a successful computed tomography colonography program can be reproduced in a South American population screened in a university hospital.

Indexed as

AdultAgedAged, 80 and overBrazilCarcinomaColectomyColonColonic PolypsColonography, Computed TomographicColonoscopyColorectal NeoplasmsFemaleHospitals, UniversityHumansMaleMiddle Aged

Identifiers

PMID25518028
PMCPMC4255077
OpenAlexW1972176454

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.