Evidence map›Paper›PMID 38628384›Full record

ReviewMedicine international

Chemoprophylaxis of precancerous lesions in patients who are at a high risk of developing colorectal cancer (Review).

Nonna E Ogurchenok, Konstantin D Khalin, Igor S Bryukhovetskiy

Open access · hybridAbstract readReview
In one paragraph

Review in Medicine international. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Nonna E OgurchenokFar Eastern Federal University, School of Medicine and Life Sciences, FEFU Medical Center, Russky Island, 690091 Vladivostok, Russian Federation.
Konstantin D KhalinFar Eastern Federal University, School of Medicine and Life Sciences, FEFU Medical Center, Russky Island, 690091 Vladivostok, Russian Federation.
Igor S BryukhovetskiyFar Eastern Federal University, Medical Center, Russky Island, 690091 Vladivostok, Russian Federation.
Far Eastern Federal University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnostics of colorectal cancer (CRC) and precancerous lesions in the colon is one of the most urgent matters to be considered for the modern protocols of complex examination, recommended for use from the age of 45 years, and including both instrumental and laboratory methods of research: Colonoscopy, CT colonography, flexible sigmoidoscopy, fecal occult blood test, fecal immunohistochemistry test and stool DNA test Nevertheless, the removal of those precancerous lesions does not solve the issue, and, apart from the regular endoscopic monitoring of patients who are at a high risk of developing CRC, the pharmacological treatment of certain key pathogenic mechanisms leading to the development of CRC is required. The present review to discusses the function of β-catenin in the transformation of precancerous colorectal lesions into CRC, when collaborating with PI3K/AKT/mTOR signaling pathway and other mechanisms. The existing methods for the early diagnostics and prevention of discovered anomalies are described and categorized. The analysis of the approaches to chemoprophylaxis of CRC, depending on the results of endoscopic, morphological and molecular-genetic tests, is presented.

Indexed as

biological therapycancer stem cellscolorectal cancerinflammatory bowel disease

Identifiers

PMID38628384
PMCPMC11019464
OpenAlexW4393227838

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.