Evidence map›Paper›PMID 24277466›Full record

ArticleMedical oncology (Northwood, London, England)2013

Investigation on XRCC1 genetic polymorphism and its relationship with breast cancer risk factors in Chinese women.

Luming Zheng, Feng Yang, Xukui Zhang, Jian Zhu, Pen Zhou, Fang Yu, Lei Hou, Guowei Zhao, Qingqing He, Baocheng Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Medical oncology (Northwood, London, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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

10 authors at 2 institutions in 1 country.

Luming ZhengDepartment of Breast and Thyroid, Jinan Military General Hospital, Jinan, 250031, Shandong Province, People's Republic of China.
Feng Yang
Xukui Zhang
Jian Zhu
Pen Zhou
Fang Yu
Lei Hou
Guowei Zhao
Qingqing He
Baocheng Wang
Jinan Military General Hospital · CNShanghai Ninth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) remains one of the most common cancers among women. The human X-ray repair cross-complementing 1 (XRCC1) gene plays key roles in base excision repair, and genetic polymorphisms of XRCC1 may be associated with the susceptibility to BC. This study aimed to evaluate the relationship between the XRCC1 genetic polymorphisms and BC susceptibility. A total of 354 BC patients and 366 cancer-free controls were enrolled in this study. Data about the risk factors of BC were collected using questionnaires. The XRCC1 genetic polymorphism was determined using created restriction site-polymerase chain reaction (CRS-PCR) and DNA sequencing methods. No significant differences in the allelic and genotypic frequencies of c.1804C>A genetic polymorphism were detected between cases and controls. The distributions of BC patients' risk factors were not significantly different between CC, CA, and AA genotypes. These findings indicate that the c.1804C>A genetic polymorphism of XRCC1 gene is not significantly associated with BC susceptibility in the Chinese women.

Indexed as

AdultAsian PeopleBreast NeoplasmsChi-Square DistributionDNA-Binding ProteinsFemaleGenetic Predisposition to DiseaseHumansPolymorphism, GeneticRisk FactorsX-ray Repair Cross Complementing Protein 1DNA-Binding ProteinsX-ray Repair Cross Complementing Protein 1XRCC1 protein, human

Identifiers

PMID24277466
OpenAlexW2027104171

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.