ReviewCurrent treatment options in gastroenterology2017
Screening and Surveillance of Colorectal Cancer Using CT Colonography.
Review in Current treatment options in gastroenterology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Evaluation of colorectal cancer screening practices in Rhode Island, 2011-2021.Cancer causes & control : CCC · 2026Article
- Review
- Management of patients with early-stage colon cancer: guidelines of the Italian Medical Oncology Association.ESMO open · 2020Review
- Colorectal adenoma and cancer detection based on altered methylation pattern of SFRP1, SFRP2, SDC2, and PRIMA1 in plasma samples.Epigenetics · 2017Article
- Current Tissue Molecular Markers in Colorectal Cancer: A Literature Review.BioMed research international · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
opinion statementColorectal cancer (CRC) is a common cancer among throughout the world with the highest rates in developed countries such as the USA. There is ample evidence demonstrating the beneficial effects of colorectal cancer screening and, largely thanks to screening initiatives and insurance coverage, epidemiologic analyses show a steady decline in both CRC incidence and mortality rates over the last several decades. However, screening rates for CRC in the US remain low and approximately 1 in 3 adults between the ages of 50 and 75 years has not undergone any form of CRC screening, highlighting the need for additional accurate, minimally invasive, and acceptable screening options. Computed tomography colonography (CTC) has emerged as a viable alternative to existing CRC screening tests and research continues to enhance our knowledge regarding the ability of CTC to play a meaningful role in optimizing CRC screening in areas where it is available. This review highlights recent publications of salient research in the field of CTC. CTC continues to evolve, with lower radiation doses and greater evidence of its ability to identify clinical relevant colonic and extracolonic abnormalities. Recent evidence has bolstered the currently recommended CTC screening interval of 5 years and has reiterated the cost-effectiveness of CTC as a CRC screening examination. Additionally, emerging evidence suggests a role for CTC as a polyp and CRC surveillance modality as well as a preoperative adjunct in patients with established CRC. Data supporting the safety and patient acceptance of CTC also has continued to accumulate and CTC has recently been endorsed as an appropriate test for CRC screening in multiple important guidelines and recommendations. CTC is poised to become an important option in the CRC screening and surveillance arena.
Indexed as
Identifiers
What OpenQuestion holds
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.