Evidence map›Paper›PMID 31754945›Full record

SynthesisEuropean journal of epidemiology2020

Soy intake and breast cancer risk: a prospective study of 300,000 Chinese women and a dose-response meta-analysis.

Yuxia Wei, Jun Lv, Yu Guo, Zheng Bian, Meng Gao, Huaidong Du, Ling Yang, Yiping Chen, Xi Zhang, Tao Wang and 6 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in European journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 8 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

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

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  19. Epidemiology, early detection, and management of breast cancer in China: A comprehensive review.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025
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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.

Yuxia WeiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, China.
Yu GuoChinese Academy of Medical Sciences, Beijing, China.
Zheng BianChinese Academy of Medical Sciences, Beijing, China.
Meng GaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, China.
Huaidong DuMedical Research Council Population Health Research Unit, University of Oxford, Oxford, UK.
Ling YangMedical Research Council Population Health Research Unit, University of Oxford, Oxford, UK.
Yiping ChenMedical Research Council Population Health Research Unit, University of Oxford, Oxford, UK.
Xi ZhangNCDs Prevention and Control Department, Maiji CDC, Tianshui, Gansu, China.
Tao WangNCDs Prevention and Control Department, Maiji CDC, Tianshui, Gansu, China.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, China.
Zhengming ChenClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, China. yucanqing@pku.edu.cn.
Dezheng HuoDepartment of Public Health Sciences, The University of Chicago, 5841 S. Maryland Ave., MC2000, Chicago, IL, 60637, USA. dhuo@health.bsd.uchicago.edu.ORCID http://orcid.org/0000-0002-4041-1678
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, China.
China Kadoorie Biobank Collaborative Group

Funding

Cancer Research UK 29186Medical Research Council MC_U137686851Medical Research Council MC_UU_00017/1Medical Research Council MC_UU_12026/2Wellcome Trust 212946/Z/18/Z
6 · The paper itself

Abstract

Epidemiological evidence on the association of soy intake with breast cancer risk is still inconsistent due to different soy intake levels across previous studies and small number of breast cancer cases. We aimed to investigate this issue by analyzing data from the China Kadoorie Biobank (CKB) study and conducting a dose-response meta-analysis to integrate existing evidence. The CKB study included over 300,000 women aged 30-79 from 10 regions across China enrolled between 2004 and 2008, and followed-up for breast cancer events until 31 December 2016. Information on soy intake was collected from baseline, two resurveys and twelve 24-h dietary recalls. We also searched for relevant prospective cohort studies to do a dose-response meta-analysis. The mean (SD) soy intake was 9.4 (5.4) mg/day soy isoflavones among CKB women. During 10 years of follow-up, 2289 women developed breast cancers. The multivariable-adjusted relative risk was 1.00 (95% confidence interval [CI] 0.81-1.22) for the fourth (19.1 mg/day) versus the first (4.5 mg/day) soy isoflavone intake quartile. Meta-analysis of prospective studies found that each 10 mg/day increment in soy isoflavone intake was associated with a 3% (95% CI 1-5%) reduced risk of breast cancer. The CKB study demonstrated that moderate soy intake was not associated with breast cancer risk among Chinese women. Higher amount of soy intake might provide reasonable benefits for the prevention of breast cancer.

Indexed as

Soy FoodsAdultAgedAsian PeopleBreast NeoplasmsChinaDietFemaleHumansIncidenceMiddle AgedProspective StudiesRisk AssessmentRisk Reduction BehaviorRural PopulationSoybean ProteinsSoybean ProteinsBreast cancerDose–response meta-analysisProspective cohort studySoy intake

Identifiers

PMID31754945
PMCPMC7320952

What OpenQuestion holds

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LicenceCC BY
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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.