Evidence map›Paper›PMID 25504309›Full record

SynthesisScientific reports2014

Body mass index and risk of breast cancer: a nonlinear dose-response meta-analysis of prospective studies.

Xiaoping Xia, Wei Chen, Jiaoyuan Li, Xueqin Chen, Rui Rui, Cheng Liu, Yu Sun, Li Liu, Jing Gong, Peng Yuan

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 4 pooled it
4.5field-weighted citation impact, top 4% 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

40 citing papers in PubMed, 4 syntheses or guidelines pooled it, 88 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Association of lifestyle factors with breast cancer incidence: An overview of systematic reviews.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Management of obesity across women's life course: FIGO Best Practice Advice.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2023
    Article
  13. Review
  14. Article
  15. Article
  16. Gender Differences in Obesity-Related Cancers.Current obesity reports · 2021
    Review
  17. A prospective study of type 2 diabetes, metformin use, and risk of breast cancer.Annals of oncology : official journal of the European Society for Medical Oncology · 2021
    Article
  18. Article
  19. Geographic Inequalities in Breast Cancer in Italy: Trend Analysis of Mortality and Risk Factors.International journal of environmental research and public health · 2020
    Article
  20. Review
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 5 institutions in 1 country.

Xiaoping XiaClinical Laboratory of the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322000, Zhejiang Province, China.
Wei ChenState Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment &Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan), and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jiaoyuan LiState Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment &Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan), and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xueqin ChenState Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment &Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan), and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Rui RuiState Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment &Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan), and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Cheng LiuState Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment &Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan), and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yu SunState Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment &Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan), and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Li LiuGuangdong Key Lab of Molecular Epidemiology and Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.
Jing GongState Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment &Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan), and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Peng YuanDepartment of Medical Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Ministry of Ecology and Environment · CNHuazhong University of Science and Technology · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNGuangdong Pharmaceutical University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of Body Mass Index (BMI) for Breast Cancer (BC) remains to be great interest for a long time. However, the precise effect of nonlinear dose-response for BMI and BC risk is still unclear. We conducted a dose-response meta-analysis to quantitatively assess the effect of BMI on BC risk. Twelve prospective studies with 4,699 cases identified among 426,199 participants and 25 studies of 22,809 cases identified among 1,155,110 participants in premenopausal and postmenopausal groups, respectively, were included in this meta-analysis. Significant non-linear dose-response (P < 0.001) association was identified between BMI and BC risk in postmenopausal women. Individuals with BMI of 25, 30, and 35 kg/m(2) yielded relative risks (RRs) of 1.02 [95% confidence interval (CI): 0.98-1.06], 1.12 (95% CI: 1.01-1.24), and 1.26 (95% CI: 1.07-1.50), respectively, when compared to the mean level of the normal BMI range. However, inverse result though not significant was observed in premenopausal women. In conclusion, the results of this meta-analysis highlighted that obesity contributed to increased BC risk in a nonlinear dose-response manner in postmenopausal women, and it is important to realize that body weight control may be a crucial process to reduce BC susceptibility.

Indexed as

Body Mass IndexBreast NeoplasmsFemaleHumansObesityPremenopauseProspective StudiesRisk Factors

Identifiers

PMID25504309
PMCPMC4265780
OpenAlexW1964634240

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.