Evidence map›Paper›PMID 28403116›Full record

ArticleMedicine2017

Influence of occupation and education level on breast cancer stage at diagnosis, and treatment options in China: A nationwide, multicenter 10-year epidemiological study.

Yang Liu, Jian Zhang, Rong Huang, Wei-Liang Feng, Ya-Nan Kong, Feng Xu, Lin Zhao, Qing-Kun Song, Jing Li, Bao-Ning Zhang and 6 more

Abstract readMulticenter Study
In one paragraph

Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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  15. Phenotype Discovery and Geographic Disparities of Late-Stage Breast Cancer Diagnosis across U.S. Counties: A Machine Learning Approach.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
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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

16 authors.

Yang LiuDepartment of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an Department of Cancer Epidemiology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Department of Epidemiology, West China School of Public Health, Sichuan University, Chengdu, Sichuan Department of Breast Surgery, Zhejiang Cancer Hospital, Hangzhou Department of Breast Oncology, Sun Yat-Sen University Cancer Center, Guangzhou Department of Breast-thyroid Surgery, Xiangya Second Hospital, Central South University, Changsha Department of Breast Surgery, Liaoning Cancer Hospital, Shenyang Center of Breast Disease, Cancer Institute & Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Department of Pathology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China.
Jian Zhang
Rong Huang
Wei-Liang Feng
Ya-Nan Kong
Feng Xu
Lin Zhao
Qing-Kun Song
Jing Li
Bao-Ning Zhang
Jin-Hu Fan
You-Lin Qiao
Xiao-Ming Xie
Shan Zheng
Jian-Jun He
Ke Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to evaluate the impact of occupation and education level of Chinese female breast cancer patients on their cancer staging at diagnosis, clinical and pathological features, rate of implementation, and selection of treatment.The medical charts of 4211 confirmed female breast cancer cases diagnosed between 1999 and 2008, from 7 breast cancer centers spread across the whole of China, were reviewed. Data including information on the patient's sociodemographic status, clinical and pathological characteristics, implementation of clinical examination and treatment modalities were analyzed. In parallel, the associations between different occupations and level of educational attainment were analyzed in relation to tumor stage through TNM staging, clinical and pathological characteristics, implementation of clinical examination, and treatment patterns. Multivariate logistic regression was used to identify whether the occupation and education level of patients are independent factors of TNM staging at diagnosis.There were significant differences among different occupation groups and the education level of patients in regards to pathological characteristics and treatment choice. Both the occupation and education level of patients were independent factors of TNM staging at diagnosis. For patients within the lower-income occupation or lower educational attainment group, the tumor stage was later, the rates of implementation of relevant investigations were lower, as were the rates of radiotherapy, chemotherapy, and endocrine therapy.This study suggests that strategies should work toward developing more accurate and effective breast cancer prevention and treatment strategies aimed specifically at patients with lower educational attainment levels and at specific occupation groups.

Indexed as

Educational StatusOccupationsAdultBreast NeoplasmsChinaChoice BehaviorDecision MakingEpidemiologic StudiesFemaleHumansLogistic ModelsMiddle AgedMultivariate AnalysisNeoplasm Staging

Identifiers

PMID28403116
PMCPMC5403113

What OpenQuestion holds

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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.