Evidence map›Paper›PMID 19437119›Full record

ArticleDigestive diseases and sciences2010

Genetic polymorphisms of CYP2D6 oxidation in patients with inflammatory bowel disease.

R Trzcinski, J Skretkowicz, A Dziki, M Rychlik-Sych, M Baranska

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Article in Digestive diseases and sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 83% 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

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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

2 citing papers in PubMed, 5 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

R TrzcinskiDepartment of General and Colorectal Surgery, University Hospital No. 5, Medical University of Lodz, Plac Hallera 1, 90-647, Lodz, Poland. trzcinski_radek@poczta.onet.pl
J Skretkowicz
A Dziki
M Rychlik-Sych
M Baranska
Medical University of Lodz · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory bowel disease (IBD) consists of ulcerative colitis and Crohn's disease, both of which are associated with increased colorectal cancer risk. The relationship between genetically determined polymorphic metabolism of exogenous substances by oxidation catalyzed by CYP2D6 isoenzyme and susceptibility to cancer has aroused great interest. We determined whether there was an association between susceptibility to inflammatory bowel disease and particularly to CYP2D6 genotypes. The study was carried out in 39 patients with IBD. The control group consisted of 129 healthy volunteers. The CYP2D6 genotypes were analyzed by polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) method with DNA extracted from peripheral blood. Among 39 patients with inflammatory bowel disease, extensive metabolizer (EM) genotype constituted 97.4%. One patient (2.6%) was poor metabolizer with CYP2D6*4/CYP2D6*4 genotype. Results obtained in the inflammatory bowel disease group did not differ significantly from those of the control group. Although the odds ratio for EM metabolizers was about 3.8-fold greater in the group of patients with inflammatory bowel disease, this association was not statistically significant. This data also showed no overall statistically significant association between alleles and incidence risk of inflammatory bowel disease [odds ratio (OR) of 1.36 for CYP2D6*1 allele, 0.83 for CYP2D6*3 allele, and 0.74 for CYP2D6*4 allele]. The present results suggest that EM genotype may be the risk factor of inflammatory bowel disease. Future studies are needed to confirm our assumptions on larger group of patients.

Indexed as

AllelesGenotypeAdultAgedColitis, UlcerativeColorectal NeoplasmsCrohn DiseaseCytochrome P-450 CYP2D6DNA Mutational AnalysisFemaleGene FrequencyGenetic Carrier ScreeningGenetic Predisposition to DiseaseHumansMaleMiddle AgedCytochrome P-450 CYP2D6

Identifiers

PMID19437119
OpenAlexW2103552406

What OpenQuestion holds

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Registered trials

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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.