Evidence map›Paper›PMID 35196831›Full record

ReviewClinical endoscopy2022

Can Computed Tomography Colonography Replace Optical Colonoscopy in Detecting Colorectal Lesions?: State of the Art.

Alessia Chini, Michele Manigrasso, Grazia Cantore, Rosa Maione, Marco Milone, Francesco Maione, Giovanni Domenico De Palma

Open access · goldAbstract readReview
In one paragraph

Review in Clinical endoscopy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. GFANet: Global Feature Attention Network for Polyp Segmentation.Journal of imaging informatics in medicine · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. 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

7 authors at 1 institution in 1 country.

Alessia ChiniDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Naples, Italy.
Michele ManigrassoDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
Grazia CantoreDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Naples, Italy.
Rosa MaioneDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Naples, Italy.
Marco MiloneDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Naples, Italy.
Francesco MaioneDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Naples, Italy.
Giovanni Domenico De PalmaDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Naples, Italy.
University of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer is an important cause of morbidity and mortality worldwide. Optical colonoscopy (OC) is widely accepted as the reference standard for the screening of colorectal polyps and cancers, and computed tomography colonography (CTC) is a valid alternative to OC. The purpose of this review was to assess the diagnostic accuracy of OC and CTC for colorectal lesions. A literature search was performed in PubMed, Embase, and Cochrane Library, and 18 articles were included. CTC has emerged in recent years as a potential screening examination with high accuracy for the detection of colorectal lesions. However, the clinical application of CTC as a screening technique is limited because it is highly dependent on the size of the lesions and has poor performance in detecting individual lesions <5 mm or flat lesions, which, although rarely, can have a malignant potential.

Indexed as

ColonoscopyColorectal cancerColorectal polypsComputed tomographic colonography

Identifiers

PMID35196831
PMCPMC8995982
OpenAlexW4213437335

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.