Evidence map›Paper›PMID 25520577›Full record

ArticleContemporary oncology (Poznan, Poland)2014

Lack of association between COX-2 8473T>C polymorphism and breast cancer risk: a meta-analysis.

Jun Jiang, Xun-Feng Quan, Li Zhang, Li Shen, Ming-Xia Zhang, Hui-Hui Ma, Yi-Chun Wang

Abstract read
In one paragraph

Article in Contemporary oncology (Poznan, Poland), 2014. 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. Association between ABCB1, ABCG2 carrier protein and COX-2 enzyme gene polymorphisms and breast cancer risk in a Turkish population.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2020
    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.

Jun JiangThe First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, PR China ; Department of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, PR China.
Xun-Feng QuanDepartment of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, PR China.
Li ZhangDepartment of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, PR China.
Li ShenDepartment of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, PR China.
Ming-Xia ZhangDepartment of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, PR China.
Hui-Hui MaDepartment of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, PR China.
Yi-Chun WangDepartment of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aim of the studyResults of recent published studies on the association between the COX-2 8473T>C polymorphism and the risk of breast cancer have often been conflicting. To make a more precise estimation of the potential relationship, a meta-analysis was performed. MATERIAL AND

methodsA total of seven case-control studies with 7,033 cases and 9,350 controls were included in the current meta-analysis through searching the databases of PubMed, Embase, and Cochrane Library (up to March 1(st), 2013). The odds ratio (OR) and 95% confidence interval (95% CI) were calculated to assess the strength of the association. The meta-analysis was conducted in a fixed/random effect model.

resultsWe found no significant associations for all genetic models after all studies were pooled into the meta-analysis (for C vs. T: OR = 0.974, 95% CI: 0.906-1.047, p = 0.471; for CC vs. TT: OR = 0.957, 95% CI: 0.803-1.140, p = 0.62; for TC vs. TT: OR = 0.964, 95% CI: 0.881-1.055, p = 0.421; for CC + TC vs. TT: OR = 0.963, 95% CI: 0.880-1.053, p = 0.406; for CC vs. TT + TC: OR = 0.978, 95% CI: 0.831-1.15, p = 0.788). We also observed no obvious associations in the subgroup analyses by ethnicity (Caucasian) and source of controls (population based, PB) for all genetic models.

conclusionsCurrent evidence suggests that the COX-2 8473T>C polymorphism is not associated with breast cancer risk.

Indexed as

breast cancerCOX-2meta-analysispolymorphism

Identifiers

PMID25520577
PMCPMC4269000

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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.