Evidence map›Paper›PMID 27590509›Full record

SynthesisOncotarget2016

The LSP1 rs3817198 T > C polymorphism contributes to increased breast cancer risk: a meta-analysis of twelve studies.

Jianzhou Tang, Hui Li, Jiashun Luo, Hua Mei, Liang Peng, Xiaojie Li

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Genetic architecture of mammographic density as a risk factor for breast cancer: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Correlation betweenReports of biochemistry & molecular biology · 2020
    Article
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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.

Jianzhou TangDepartment of Biological and Environmental Engineering, Changsha University, Changsha 410003, Hunan, China.
Hui LiDepartment of Microbiology and Immunology, Medical School of Jishou University, Jishou 416000, Hunan, China.
Jiashun LuoInstitute of Medical Sciences, Medical School of Jishou University, Jishou 416000, Hunan, China.
Hua MeiHunan Guangxiu Hospital, Changsha 410002, Hunan, China.
Liang PengDepartment of Biological and Environmental Engineering, Changsha University, Changsha 410003, Hunan, China.
Xiaojie LiCollege of Animal Science and Technology of Hunan Agriculture University, Changsha 410128, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between the LSP1 rs3817198 T > C polymorphism and breast cancer risk has been widely investigated, but remains controversial. We therefore undertook a comprehensive meta-analysis to provide a high-quality evaluation of this association. A literature search was performed among Pubmed, EMBASE and Chinese National Knowledge Infrastructure (CNKI) databases prior to July 31, 2016, and the strength of the association between the LSP1 rs3817198 T > C polymorphism and breast cancer risk was assessed based on odds ratio (OR) and 95% confidence interval (95% CI). In total, 12 studies with 50,525 cases and 54,302 controls were included. Pooled risk estimates indicated a significant association between the LSP1 rs3817198 T > C polymorphism and breast cancer risk. Analysis of cases stratified based on ethnicity suggested that the association was significant in both Caucasian and Asian populations. Stratification based on source of controls revealed an association only in population-based studies. These findings indicate the LSP1 rs3817198 T > C polymorphism is associated with increased risk of breast cancer, especially in Caucasian and Asian populations. Large, well-designed studies with different ethnicities are still needed to verify our findings.

Indexed as

Polymorphism, Single NucleotideAsian PeopleBreast NeoplasmsCase-Control StudiesFemaleGenetic Predisposition to DiseaseHumansMicrofilament ProteinsOdds RatioRisk FactorsWhite PeopleLSP1 protein, humanMicrofilament Proteinsbreast cancerLSP1meta-analysisrisk

Identifiers

PMID27590509
PMCPMC5325417

What OpenQuestion holds

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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.