Evidence map›Paper›PMID 40745040›Full record

ArticleInsights into imaging2025

CT colonography: revisited after 30 years.

Mehdi Cadi, Charles André Cuenod, Philippe A Grenier, Aurélien Saltel, Mohamed Abdulbaki, Gilles Manceau, Mehdi Karoui

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Insights into imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. [Enteral contrast agents-When, what and how?]Radiologie (Heidelberg, Germany) · 2026
    Review
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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.

Mehdi CadiDepartment of Radiology, Paris Cité University, Assistance Publique Hôpitaux de Paris, Georges Pompidou University Hospital, Paris, France. mehdi.cadi@aphp.fr.ORCID http://orcid.org/0000-0002-6276-4861
Charles André CuenodDepartment of Radiology, Paris Cité University, Assistance Publique Hôpitaux de Paris, Georges Pompidou University Hospital, Paris, France.
Philippe A GrenierDepartment of Clinical Research and Innovation Hôpital Foch, Suresnes, France.
Aurélien SaltelDepartment of Radiology, Paris Cité University, Assistance Publique Hôpitaux de Paris, Georges Pompidou University Hospital, Paris, France.
Mohamed AbdulbakiDepartment of Radiology, Paris Cité University, Assistance Publique Hôpitaux de Paris, Georges Pompidou University Hospital, Paris, France.
Gilles ManceauDepartment of Digestive and Oncological Surgery, Paris Cité University, Assistance Publique-Hôpitaux de Paris, Georges Pompidou University Hospital, Paris, France.
Mehdi KarouiDepartment of Digestive and Oncological Surgery, Paris Cité University, Assistance Publique-Hôpitaux de Paris, Georges Pompidou University Hospital, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computed tomography colonography (CTC), also known as virtual colonoscopy, is a well-tolerated, minimally invasive and effective procedure. Used for over two decades and supported by extensive studies and meta-analyses, CTC has demonstrated performance comparable to that of optical colonoscopy (OC). However, CTC remains generally underutilized in many countries, including the United States of America; in contrast, in some countries, such as the United Kingdom, it is widely used. CTC requires bowel preparation with laxative and fecal contrast-agent tagging, followed by colonic distension with low-pressure, automated, CO

Indexed as

Cancer screeningCT colonographyDiverticular diseaseIncomplete colonoscopyLaparoscopic surgery

Identifiers

PMID40745040
PMCPMC12314182

What OpenQuestion holds

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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.