Evidence map›Paper›PMID 26550133›Full record

ArticleInternational journal of clinical and experimental medicine2015

Peroxisome proliferator-activated receptor gamma (PPARG) polymorphisms and breast cancer susceptibility: a meta-analysis.

Weifeng Tang, Yuanmei Chen, Yafeng Wang, Haiyong Gu, Shuchen Chen, Mingqiang Kang

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 34% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Diet andNutrients · 2021
    Pooled it
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  4. Article
  5. Article
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  7. Article
  8. Screening of Prognostic Factors in Early-Onset Breast Cancer.Technology in cancer research & treatment
    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

6 authors at 4 institutions in 1 country.

Weifeng TangDepartment of Thoracic Surgery, The Union Clinical Medical College of Fujian Medical University Fuzhou, Fujian Province, China.
Yuanmei ChenDepartment of Thoracic Surgery, Fujian Provincial Cancer Hospital Fuzhou, Fujian Province, China.
Yafeng WangDepartment of Cardiology, The People's Hospital of Xishuangbanna Dai Autonomous Prefecture Jinghong, Yunnan Province, China.
Haiyong GuDepartment of Cardiothoracic Surgery, Affiliated People's Hospital of Jiangsu University Zhenjiang, Jiangsu Province, China.
Shuchen ChenDepartment of Thoracic Surgery, The Union Clinical Medical College of Fujian Medical University Fuzhou, Fujian Province, China.
Mingqiang KangDepartment of Thoracic Surgery, The Union Clinical Medical College of Fujian Medical University Fuzhou, Fujian Province, China.
Fujian Medical University · CNFujian Provincial Cancer Hospital · CNJiangsu University · CNThe Central Hospital of Enshi Tujia and Miao Autonomous Prefecture · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeroxisome proliferator-activated receptor gamma (PPARG), a nuclear hormone receptor, plays a critical role in the lipid and glucose homeostasis, adipocyte differentiation, as well as intracellular insulin-signaling events. Several studies have been conducted to explore the associations of PPARG polymorphisms with breast cancer (BC), yet the findings are inconsistent.

methodsDatabases of Pubmed and Embase were searched until October 5, 2014. The association between PPARG polymorphisms and BC risk was determined by crude odds ratios (ORs) with their 95% confidence intervals (CIs).

resultsFinally, there are nine publications involving 3,931 BC cases and 5,382 controls included in this meta-analysis. No significant association was observed between PPARG rs1801282 C>G variants and overall BC risk in all genetic comparison models. However, in a subgroup analysis by ethnicity, significant association was observed between PPARG rs1801282 C>G variants and decreased BC risk in three genetic models: GG+CG vs. CC (OR, 0.83; 95% CI, 0.71-0.96; P = 0.011), CG vs. CC (OR, 0.82; 95% CI, 0.71-0.96; P = 0.011) and G vs. C (OR, 0.85; 95% CI, 0.75-0.97; P = 0.016) in Caucasians and in a subgroup analysis by menopausal status, significantly decreased BC risk was also found in two genetic models: GG+CG vs. CC (OR, 0.79; 95% CI, 0.67-0.95; P = 0.011) and CG vs. CC (OR, 0.77; 95% CI, 0.64-0.92; P = 0.005) in post-menopause subgroup. For PPARG rs3856806 C>T, we found no significant association between PPARG rs3856806 C>T polymorphism and breast cancer.

conclusionsIn summary, despite some limitations, the results suggest that PPARG rs1801282 C>G polymorphism may be a protective factor for BC in Caucasians and in post-menopause women.

Indexed as

Breast cancermeta-analysisperoxisome proliferator-activated receptor gammapolymorphism

Identifiers

PMID26550133
PMCPMC4612818
OpenAlexW2108987136

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.