Evidence map›Paper›PMID 23414650›Full record

Trial reportLancet (London, England)2013

Computed tomographic colonography versus colonoscopy for investigation of patients with symptoms suggestive of colorectal cancer (SIGGAR): a multicentre randomised trial.

Wendy Atkin, Edward Dadswell, Kate Wooldrage, Ines Kralj-Hans, Christian von Wagner, Rob Edwards, Guiqing Yao, Clive Kay, David Burling, Omar Faiz and 6 more

Registry-linked trialOpen access · bronzeAbstract readComparative StudyMulticenter StudyRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Lancet (London, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02892721 (Performance and Evaluation for CT Colonography Screening), which is not on this map. Cited by 90 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 9 pooled it
19.3field-weighted citation impact, top 1% 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.

NCT02892721 nacompletednot on this mapstarted 2017, after this paper: background citation

Performance and Evaluation for CT Colonography Screening

TypeinterventionalSponsorLondon North West Healthcare NHS TrustRan2017 to 2020Enrolled139ConditionsColonic Neoplasms, Colorectal NeoplasmsArmsTraining with feedback
3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 9 syntheses or guidelines pooled it, 268 citations in OpenAlex.

  1. Pooled it
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  13. CT colonography: revisited after 30 years.Insights into imaging · 2025
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30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 1 country.

Wendy AtkinCancer Screening and Prevention Research Group, Imperial College London, St Mary's Hospital, Norfolk Place, London W2 1PG, UK. w.atkin@imperial.ac.uk
Edward Dadswell
Kate Wooldrage
Ines Kralj-Hans
Christian von Wagner
Rob Edwards
Guiqing Yao
Clive Kay
David Burling
Omar Faiz
Julian Teare
Richard J Lilford
Dion Morton
Jane Wardle
Steve Halligan
SIGGAR investigators
Imperial College London · GBUniversity College London · GBUniversity of Birmingham · GBSt Mark's Hospital · GBBradford Teaching Hospitals NHS Foundation Trust · GBImperial College Healthcare NHS Trust · GBQueen Mary University of London · GB

Funding

Cancer Research UK 14134Cancer Research UK C8171/A10391Department of Health 02/02/01Medical Research Council G0800808
6 · The paper itself

Abstract

backgroundColonoscopy is the gold-standard test for investigation of symptoms suggestive of colorectal cancer; computed tomographic colonography (CTC) is an alternative, less invasive test. However, additional investigation after CTC is needed to confirm suspected colonic lesions, and this is an important factor in establishing the feasibility of CTC as an alternative to colonoscopy. We aimed to compare rates of additional colonic investigation after CTC or colonoscopy for detection of colorectal cancer or large (≥10 mm) polyps in symptomatic patients in clinical practice.

methodsThis pragmatic multicentre randomised trial recruited patients with symptoms suggestive of colorectal cancer from 21 UK hospitals. Eligible patients were aged 55 years or older and regarded by their referring clinician as suitable for colonoscopy. Patients were randomly assigned (2:1) to colonoscopy or CTC by computer-generated random numbers, in blocks of six, stratified by trial centre and sex. We analysed the primary outcome-the rate of additional colonic investigation-by intention to treat. The trial is an International Standard Randomised Controlled Trial, number 95152621.

findings1610 patients were randomly assigned to receive either colonoscopy (n=1072) or CTC (n=538). 30 patients withdrew consent, leaving for analysis 1047 assigned to colonoscopy and 533 assigned to CTC. 160 (30.0%) patients in the CTC group had additional colonic investigation compared with 86 (8.2%) in the colonoscopy group (relative risk 3.65, 95% CI 2.87-4.65; p<0.0001). Almost half the referrals after CTC were for small (<10 mm) polyps or clinical uncertainty, with low predictive value for large polyps or cancer. Detection rates of colorectal cancer or large polyps in the trial cohort were 11% for both procedures. CTC missed 1 of 29 colorectal cancers and colonoscopy missed none (of 55). Serious adverse events were rare.

interpretationGuidelines are needed to reduce the referral rate after CTC. For most patients, however, CTC provides a similarly sensitive, less invasive alternative to colonoscopy.

fundingNIHR Health Technology Assessment Programme, NIHR Biomedical Research Centres funding scheme, Cancer Research UK, EPSRC Multidisciplinary Assessment of Technology Centre for Healthcare, and NIHR Collaborations for Leadership in Applied Health Research and Care.

Indexed as

AgedColonic PolypsColonography, Computed TomographicColonoscopyColorectal NeoplasmsEarly Detection of CancerFeasibility StudiesFemaleHumansMaleMiddle AgedReferral and ConsultationRisk Factors

Identifiers

PMID23414650
OpenAlexW2149304637

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.