Evidence map›Paper›PMID 38716215›Full record

ReviewTranslational gastroenterology and hepatology2024

From random to precise: updated colon cancer screening and surveillance for inflammatory bowel disease.

Karina Fatakhova, Ramona Rajapakse

Abstract readReview
In one paragraph

Review in Translational gastroenterology and hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

2 authors.

Karina FatakhovaDepartment of Gastroenterology, Zucker School of Medicine at Hofstra/Northwell, New York, NY, USA.ORCID https://orcid.org/0000-0001-8581-1248
Ramona RajapakseDepartment of Gastroenterology, Zucker School of Medicine at Hofstra/Northwell, New York, NY, USA.ORCID https://orcid.org/0000-0002-1187-8404

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with inflammatory bowel disease (IBD) are at increased risk of developing colorectal cancer (CRC). The pathogenesis of CRC in IBD differs from sporadic cancer, with the burden of inflammation being an important contributing factor. Other risk factors for developing CRC in patients with Crohn's disease (CD) or ulcerative colitis (UC) includes a family history of CRC, personal history of dysplasia, history of strictures, or primary sclerosing cholangitis (PSC). Dysplasia is the precursor of cancer and ensuring effective surveillance strategies is vital for early detection and intervention. In the past, dysplasia detection relied on random biopsies, but recent studies have shown that, with the adaptation of high-definition white light endoscopy (HD-WLE), dye sprayed chromoendoscopy (DCE) and virtual chromoendoscopy (VCE), dysplasia detection has improved. While there exists a certain degree of consensus amongst experts regarding the management of dysplasia, it is important to implement a personalized approach to each patient's care. Our review focuses on advancements in the past two decades, specifically highlighting the modifications that have been implemented since the SCENIC guidelines. It also explores future directions, including the potential implementation of stool studies as a non-invasive tool for surveillance and the emerging role of artificial intelligence (AI) in dysplasia detection.

Indexed as

colorectal cancer (CRC)colorectal cancer screening (CRC screening)Crohn’s disease (CD)Inflammatory bowel disease (IBD)ulcerative colitis (UC)

Identifiers

PMID38716215
PMCPMC11074484

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.