Evidence map›Paper›PMID 28317869›Full record

SynthesisScientific reports2017

Genetic association between the cyclin-dependent kinase inhibitor gene p27/Kip1 polymorphism (rs34330) and cancer susceptibility: a meta-analysis.

Xiao-Ke Cheng, Xue-Jun Wang, Xiao-Dong Li, Xue-Qun Ren

Abstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Disease markers · 2018
    Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

4 authors.

Xiao-Ke ChengCenter for Evidence-Based Medicine, Huaihe Hospital of Henan University, Kaifeng, Henan, 475000, China.
Xue-Jun WangDepartment of Emergency, Beijing Electric Power Hospital, Taipingxili Jia 1, Beijing, 100073, China.
Xiao-Dong LiCenter for Evidence-Based Medicine, Huaihe Hospital of Henan University, Kaifeng, Henan, 475000, China.
Xue-Qun RenCenter for Evidence-Based Medicine, Huaihe Hospital of Henan University, Kaifeng, Henan, 475000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The p27 rs34330 (-79C/T) polymorphism has been widely studied for human cancer susceptibility. The current findings, however, still remained controversial. Therefore, we performed the meta-analysis to provide a more accurate result. Eligible studies were identified from PubMed database up to June 2015. The association of p27 rs34330 polymorphism and cancer susceptibility was estimated with odds ratios and corresponding 95% confidence intervals. The meta-analysis was performed with Stata 12. A total of ten studies with 11,214 cases and more than 8,776 controls were included in the meta-analysis (including breast, lung, thyroid, endometrial, and hepatocellular cancer). In pooled analysis, p27 gene rs34330 polymorphism significantly increased the cancer susceptibility. Subgroup analysis indicated that the elevated risk was observed under all the genetic models for Asians and under three genetic models for Caucasians. Results of sensitivity analysis were similar to the overall results. The results suggested that the p27 rs34330 polymorphism increased the cancer susceptibility, especially in Asians. Further well-designed and large sample size studies are warranted to verify the conclusion.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseasePolymorphism, Single NucleotideAllelesAsian PeopleCyclin-Dependent Kinase Inhibitor p27Genetic HeterogeneityGenotypeHumansNeoplasmsOdds RatioPublication BiasCyclin-Dependent Kinase Inhibitor p27

Identifiers

PMID28317869
PMCPMC5357887

What OpenQuestion holds

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LicenceCC BY
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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.