Evidence map›Paper›PMID 27021193›Full record

Trial reportThe American journal of gastroenterology2016

CT-Colonography vs. Colonoscopy for Detection of High-Risk Sessile Serrated Polyps.

J E G IJspeert, C J Tutein Nolthenius, E J Kuipers, M E van Leerdam, C Y Nio, M G J Thomeer, K Biermann, M J van de Vijver, E Dekker, J Stoker

Open access · greenAbstract readComparative StudyRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in The American journal of gastroenterology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
7.9field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 95 citations in OpenAlex.

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  17. Almost One-Third of Large Sessile Serrated Polyps Are Missed on CT Colonography.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2021
    Article
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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

10 authors at 5 institutions in 3 countries.

J E G IJspeertAcademic Medical Center, Department of Gastroenterology and Hepatology, University of Amsterdam, Amsterdam, The Netherlands.
C J Tutein NoltheniusAcademic Medical Center, Department of Radiology, University of Amsterdam, Amsterdam, The Netherlands.
E J KuipersDepartment of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, The Netherlands.
M E van LeerdamDepartment of Gastroenterology and Hepatology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
C Y NioAcademic Medical Center, Department of Radiology, University of Amsterdam, Amsterdam, The Netherlands.
M G J ThomeerDepartment of Radiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
K BiermannDepartment of Pathology, Erasmus University Medical Center, Rotterdam, The Netherlands.
M J van de VijverAcademic Medical Center, Department of Pathology, University of Amsterdam, Amsterdam, The Netherlands.
E DekkerAcademic Medical Center, Department of Gastroenterology and Hepatology, University of Amsterdam, Amsterdam, The Netherlands.
J StokerAcademic Medical Center, Department of Radiology, University of Amsterdam, Amsterdam, The Netherlands.
Erasmus MC · NLAcademic Medical Center · NLStatistical Research (United States) · USUniversity of Amsterdam · NLThe Netherlands Cancer Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSessile serrated polyps (SSPs) are suggested to be the precursors of 15-30% of all colorectal cancers (CRCs). Therefore, CRC screening modalities should also be designed to detect high-risk SSPs. We compared computed tomography colonography (CTC) with colonoscopy-based screening for the detection of high-risk SSPs in average-risk individuals.

methodsData from a randomized controlled trial that compared CTC with colonoscopy for population screening were used for the analysis. Individuals diagnosed at CTC with a lesion ≥10 mm in size were referred for colonoscopy. Individuals with only 6-9 mm lesions were offered surveillance CTC. This surveillance CTC was followed by a colonoscopy when a lesion ≥6 mm was detected. Yield of both was accumulated to mimic current American College of Radiology CTC referral strategy (referral of individuals with any lesion ≥6 mm). Per participant detection of ≥1 high-risk (dysplastic and/or ≥10 mm) SSP was compared with colonoscopy using multiple logistic regression analysis.

resultsIn total, 8,844 individuals were invited to participate (in 2:1 allocation), of which 1,276 colonoscopy and 982 CTC invitees participated in the study. In the colonoscopy arm, 4.3% of individuals were diagnosed with ≥1 high-risk SSP, compared with 0.8% in the CTC arm (odds ratio (OR) 5.5; 95% confidence interval (CI) 2.6-11.6; P<0.001). In total, 3.1% of individuals in the colonoscopy arm were diagnosed with high-risk SSPs as most advanced lesion, compared with 0.4% in the CTC arm (OR 7.7; 95% CI 2.7-21.6; P<0.001). The current CTC strategy showed a marked lower detection for especially flat high-risk SSPs (17 vs. 0), high-risk SSP located in the proximal colon (32 vs. 1), and SSPs with dysplasia (30 vs. 1).

conclusionsIn a randomized controlled setting, the detection rate of high-risk SSPs was significantly higher with colonoscopy than CTC. These results might have implications for CTC as a CRC modality for opportunistic screening in average-risk adults.

Indexed as

Colonography, Computed TomographicColonoscopyAgedColonic PolypsFemaleHumansMaleMass ScreeningMiddle AgedPrecancerous ConditionsRisk Factors

Identifiers

PMID27021193
OpenAlexW2331126442

What OpenQuestion holds

Textmetadata
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.