Evidence map›Paper›PMID 24527416›Full record

ArticleClinical nutrition research2014

Circulating concentrations of C-Peptide and colorectal adenoma.

Yoon Ji Choi, Young Ha Kim, Chang Ho Cho, Sung Hi Kim, Jung Eun Lee

Open access · hybridAbstract read
In one paragraph

Article in Clinical nutrition research, 2014. 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
0.2field-weighted citation impact, top 41% 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, 2 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

5 authors at 3 institutions in 2 countries.

Yoon Ji ChoiDepartment of Food and Nutrition, Sookmyung Women's University, Seoul 140-742, South Korea.
Young Ha KimDepartment of Food and Nutrition, Sookmyung Women's University, Seoul 140-742, South Korea.
Chang Ho ChoDepartment of Pathology, Daegu Catholic University Medical Center, Daegu 705-718, South Korea.
Sung Hi KimDepartment of Family Medicine, Daegu Catholic University Medical Center, Daegu 705-718, South Korea.
Jung Eun LeeDepartment of Food and Nutrition, Sookmyung Women's University, Seoul 140-742, South Korea.
Sookmyung Women's University · KRCatholic University of America · USDaegu Catholic University Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperinsulinemia may increase the risk of colorectal neoplasia because of its mitogenic and antiapoptotic properties, which have a growth-promoting effect. We examined the association between circulating concentrations of C-peptide, a biomarker of insulin secretion, and colorectal adenoma prevalence in a case-control study of Korean adults. A total of 364 participants (112 cases and 252 controls) were included. Participants who underwent a colonoscopy completed questionnaires and provided blood samples. We used multivariate logistic regression models to obtain odds ratios (ORs) and 95% confidence intervals (CIs) for colorectal adenoma. Circulating concentrations of C-peptide were not associated with colorectal adenoma; the multivariate OR (95% CI) was 0.95 (0.51-1.75) comparing the highest tertile with the lowest tertile (p for trend = 0.91). When we used a conditional logistic regression model by fasting status and sex matching, there was still no association (OR = 0.92; 95% CI = 0.43-1.99) when comparing the highest tertile with the lowest tertile. We observed no association between circulating concentrations of C-peptide and colorectal adenoma prevalence in Korean adults.

Indexed as

Colorectal adenomaC-peptideHyperinsulinemia

Identifiers

PMID24527416
PMCPMC3921291
OpenAlexW2083107229

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.