Evidence map›Paper›PMID 39894515›Full record

ArticleBMJ open2025

Spatial and temporal changes of breast-conserving surgery rates and its influential factors among Chinese patients with breast cancer from 2013 to 2019: a registry-based study.

Queran Lin, Shunrong Li, Tongrui Shang, Xiujuan Gui, Liling Zhu, Yuan Yang, Ziliang Zhong, Xiaoyu Wang, Lingyan Dai, Jianli Zhao and 10 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Queran LinGuangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Shunrong LiGuangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Tongrui ShangGuangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Xiujuan GuiGuangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Liling ZhuGuangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Yuan YangHealth Data (Beijing) Technology Co Ltd, Guangzhou, China.
Ziliang ZhongHealth Data (Beijing) Technology Co Ltd, Guangzhou, China.
Xiaoyu WangDepartment of Clinical Medicine, KingMed Diagnostic Laboratory, Guangzhou, Guangdong, China.
Lingyan DaiHealth Data (Beijing) Technology Co Ltd, Guangzhou, China.
Jianli ZhaoGuangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Yanjie XuHealth Data (Beijing) Technology Co Ltd, Guangzhou, China.
Qianru ChenGuangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Qing YanHealth Data (Beijing) Technology Co Ltd, Guangzhou, China.
Xiaoliang HuangGovernment Affairs Service Centre, Health Commission of Guangdong Province, Guangzhou, Guangdong, China.
Wei HuGovernment Affairs Service Centre, Health Commission of Guangdong Province, Guangzhou, Guangdong, China.
Zijian LiangGovernment Affairs Service Centre, Health Commission of Guangdong Province, Guangzhou, Guangdong, China.
Erwei SongGuangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Jianrong HeDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou, Guangdong, China.
Pengpeng YeThe George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Kai ChenGuangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China chenkai23@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-7052-4681

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOur study aims to evaluate the spatial and temporal changes of breast-conserving surgery (BCS) rates and influential factors of BCS in Guangdong Province, China. DESIGN, SETTING AND

participantsThis registry-based cohort study analysed the data of patients of all age groups, from the medical record cover page, which was mandatorily collected for inpatients by the Health Administrative Department of Guangdong Province, China. Patients with non-metastatic breast cancer, who underwent breast surgery between 2013 and 2019, were included. MAIN OUTCOMES AND MEASURES: We analysed the BCS rate in Guangdong Province between 2013 and 2019. Logistic regression was applied to investigate the association between patient-level influential factors and BCS, respectively. We used restricted cubic spline regression to model the non-linear association between hospital volume rank with BCS rate. Linear regression was used to evaluate the association between city-level parameters with BCS rate of each city.

resultsA total of 93 521 patients with non-metastatic breast cancer, who underwent breast surgery, were included in the analyses. Among them, 10 949 (11.7%) had BCS, with the BCS rates increasing from 0.8% in 2013 to 19.2% in 2019. Patients who were older (vs <40 years, 40-49 years: adjusted OR 0.72, 95% CI 0.68 to 0.76; 50-59 years: 0.51, 95% CI 0.48 to 0.54; ≥60 years: 0.37, 95% CI 0.35 to 0.40) and married (vs unmarried, 0.64, 95% CI 0.59 to 0.70) were less likely to undergo BCS. Patients who were employed (vs unemployed, 1.58, 95% CI 1.49 to 1.68), received cross-city surgery (vs local surgery, 1.37, 95% CI 1.31 to 1.44), lived in a high-income city (vs low-income city, β=4.40, 95% CI 1.55 to 7.24) or in a city with a higher number of physicians per 100 000 residents (0.57, 95% CI 0.31 to 0.82) were more likely to receive BCS. CONCLUSIONS AND RELEVANCE: This study suggests a significant increase in BCS rates from 2013 to 2019 in Guangdong, China. Promotion of BCS is needed, particularly among older patients, lower-volume hospitals and economically underdeveloped areas. Healthcare system should be prepared to support the increased awareness of seeking BCS among younger patients with breast cancer by improving the availability of radiotherapy, multidisciplinary team and patients' education programme.

Indexed as

Breast NeoplasmsMastectomy, SegmentalAdultAgedChinaEast Asian PeopleFemaleHumansMiddle AgedRegistriesBreast surgeryBreast tumoursPUBLIC HEALTH

Identifiers

PMID39894515
PMCPMC11792272

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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.