Evidence map›Paper›PMID 23275119›Full record

ArticleMedical oncology (Northwood, London, England)2013

Rural-urban disparities of breast cancer patients in China.

Yan Zhang, Yulan Bu, Hua Gao

Abstract read
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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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Burden of female breast cancer in the Middle East and North Africa region, 1990-2019.Archives of public health = Archives belges de sante publique · 2022
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  7. The Investigation of Risk Factors Impacting Breast Cancer in Guilan ProvinceAsian Pacific journal of cancer prevention : APJCP · 2016
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  11. Cancer burden in China from 2006 to 2010.International journal of clinical and experimental pathology · 2015
    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

3 authors.

Yan ZhangQilu Hospital, Shandong University, Wenhua Xi Road No. 107, Jinan 250012, People's Republic of China. yanzhang_qilu@163.com
Yulan Bu
Hua Gao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to examine the rural-urban disparities in breast cancer patients in China. The retrospective study was performed with a total of 2,139 breast cancer patients hospitalized in Qilu Hospital of Shandong University between the years 1997 and 2011. We applied Chi-square analysis to identify significant disparities between rural and urban populations. Logistic regression model was used to estimate factors associated with the adjuvant chemotherapy treatment. Two-fifths of patients were considered rural dwellers. Significant disparities were found in marriage age (p < 0.0001), history of breast cancer (p = 0.0187), smoking (p = 0.0025) and reason for visiting a doctor (p < 0.0001) among all demographic variables. Rural patients tend to suffer more aggressive tumor histology (p = 0.0251), larger tumor size (p < 0.0001) and more metastatic lymph nodes (p < 0.0001) than urban patients. In addition, rural-urban differences were also shown in the choice of neo-adjuvant chemotherapy (p = 0.0050) and surgical procedures (p < 0.0001). With logistic regression model, we found some significant factors associated with the choice of post-adjuvant chemotherapy, including age at diagnosis, history of breast cancer, tumor histology and number of positive lymph node. Differences in rural-urban breast cancer patients exist in China. Interventions to increase early diagnosis of breast cancer among rural area are in need. Further research is needed to investigate potential attitude and perception differences between rural and urban populations with respect to breast cancer preventions and treatments.

Indexed as

Healthcare DisparitiesAdultAgedBreast NeoplasmsCarcinomaChemotherapy, AdjuvantChinaFemaleHumansMaleMiddle AgedRetrospective StudiesRural PopulationUrban Population

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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.