Evidence map›Paper›PMID 24861772›Full record

ArticleFamilial cancer2014

Association of interleukin-23 receptor gene polymorphisms with risk of bladder cancer in Chinese.

Tielong Tang, Hui Xue, Shu Cui, Zhiyong Gong, Zhonghai Fei, Shulin Cheng, Chunyan Gui

Abstract read
PubMed Publisher
In one paragraph

Article in Familial cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Observational
  6. 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

7 authors at 3 institutions in 1 country.

Tielong TangDepartment of Urology, Affiliated Hospital of North Sichuan Medical College, Nanchong, People's Republic of China, cdzt2004@163.com.
Hui Xue
Shu Cui
Zhiyong Gong
Zhonghai Fei
Shulin Cheng
Chunyan Gui
Affiliated Hospital of North Sichuan Medical College · CNDazhou Central Hospital · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To assess whether polymorphisms of the interleukin-23 receptor (IL23R) gene are associated with bladder transitional cell carcinoma because chronic inflammation contributes to bladder cancer and the IL23R is known to be critically involved in the carcinogenesis of various malignant tumors. 226 patients with bladder cancer and 270 age-matched controls were involved in the study. Polymerase chain reaction-restriction fragment length polymorphism was used for genotyping. Genotype distribution and allelic frequencies between patients and controls were compared. In all three single nucleotide polymorphisms of IL23R studied, the distribution of genotype and allele frequencies of rs10889677 differed significantly between patients and controls. The frequency of allele C of rs10889677 was significantly increased in cases compared with controls (0.2898 vs. 0.1833, odds ratio 1.818, 95 % confidence interval 1.349-2.449). The result indicates that IL23R may play an important role in the susceptibility of bladder cancer in Chinese population.

Indexed as

Polymorphism, Single NucleotideAgedAsian PeopleCarcinoma, Transitional CellFemaleGenetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedPolymorphism, Restriction Fragment LengthReceptors, InterleukinReverse Transcriptase Polymerase Chain ReactionRisk FactorsUrinary Bladder NeoplasmsIL23R protein, humanReceptors, Interleukin

Identifiers

PMID24861772
OpenAlexW2032974003

What OpenQuestion holds

Textmetadata
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.