Evidence map›Paper›PMID 26405537›Full record

ArticleBiomedical reports2015

Higher serum uric acid levels and advanced age are associated with an increased prevalence of colorectal polyps.

Minoru Tomizawa, Fuminobu Shinozaki, Rumiko Hasegawa, Yoshinori Shirai, Yasufumi Motoyoshi, Takao Sugiyama, Shigenori Yamamoto, Naoki Ishige

Abstract read
In one paragraph

Article in Biomedical reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Minoru TomizawaDepartment of Gastroenterology, National Hospital Organization, Shimoshizu Hospital, Yotsukaido, Chiba 284-0003, Japan.
Fuminobu ShinozakiDepartment of Radiology, National Hospital Organization, Shimoshizu Hospital, Yotsukaido, Chiba 284-0003, Japan.
Rumiko HasegawaDepartment of Surgery, National Hospital Organization, Shimoshizu Hospital, Yotsukaido, Chiba 284-0003, Japan.
Yoshinori ShiraiDepartment of Surgery, National Hospital Organization, Shimoshizu Hospital, Yotsukaido, Chiba 284-0003, Japan.
Yasufumi MotoyoshiDepartment of Neurology, National Hospital Organization, Shimoshizu Hospital, Yotsukaido, Chiba 284-0003, Japan.
Takao SugiyamaDepartment of Rheumatology, National Hospital Organization, Shimoshizu Hospital, Yotsukaido, Chiba 284-0003, Japan.
Shigenori YamamotoDepartment of Pediatrics, National Hospital Organization, Shimoshizu Hospital, Yotsukaido, Chiba 284-0003, Japan.
Naoki IshigeDepartment of Neurosurgery, National Hospital Organization, Shimoshizu Hospital, Yotsukaido, Chiba 284-0003, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study retrospectively analyzed the laboratory data of patients who had undergone a colonoscopy between April 2011 and March 2014, with the aim of assessing whether these variables could be used to predict the presence of colorectal polyps (CP). A total of 1,471 patients were enrolled (731 men, 68.5±10.8 years; 740 women, 66.7±10.8 years). One-way analysis of variance was performed to analyze the association between the presence of CP and a range of laboratory variables. Logistic regression analysis was performed to establish a regression equation to predict the presence of CP. Receiver-operator characteristics analysis was applied to investigate the performance of the regression equation. Patients with CP were older than those without CP (P<0.0001). Serum uric acid (UA) levels were higher in patients with CP, compared to those without CP (P=0.0007). To investigate the possibility that older age and higher UA levels could predict the presence of CP, logistic regression analysis was performed (P=0.0008). The regression equation was as follows: ln(

Indexed as

blood urine nitrogenlikelihood analysislogistic regression analysisreceiver-operator characteristic analysis

Identifiers

PMID26405537
PMCPMC4534876

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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.