Evidence map›Paper›PMID 33237347›Full record

ReviewBreast cancer (Tokyo, Japan)2021

Obesity-related protein biomarkers for predicting breast cancer risk: an overview of systematic reviews.

Xueyao Wu, Xiaofan Zhang, Yu Hao, Jiayuan Li

Abstract readReview
PubMed Publisher
In one paragraph

Review in Breast cancer (Tokyo, Japan), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. [Association of Body Mass Index and Weight Gain With Obesity-Related Breast Cancer Risk Biomarkers in Adult Chinese Women].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. 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

4 authors at 2 institutions in 1 country.

Xueyao WuDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16 Ren Min Nan Lu, Chengdu, 610041, Sichuan, People's Republic of China.
Xiaofan ZhangDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16 Ren Min Nan Lu, Chengdu, 610041, Sichuan, People's Republic of China.
Yu HaoDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16 Ren Min Nan Lu, Chengdu, 610041, Sichuan, People's Republic of China.
Jiayuan LiDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16 Ren Min Nan Lu, Chengdu, 610041, Sichuan, People's Republic of China. lijiayuan73@163.com.ORCID http://orcid.org/0000-0002-2920-1637
West China Medical Center of Sichuan University · CNSichuan University · CN

Funding

Key R & D project of science and technology program of Sichuan, China 2017SZ0005National Natural Science Foundation of China 81302500National Natural Science Foundation of China 81874282
6 · The paper itself

Abstract

backgroundBased on the biological mechanisms underlying the obesity-breast cancer connections, potential protein biomarkers involved in breast cancer development have been identified, which may be helpful for the estimation of breast cancer risk. This study aimed to carry out a comprehensive overview of systematic reviews on circulating levels of obesity-related protein biomarkers for female breast cancer risk to provide a solid reference for potential breast cancer predictors.

methodsComprehensive literature searches were conducted in MEDLINE, EMBASE and Cochrane Database of Systematic Reviews up to Dec 2019. The AMSTAR tool was used for the methodological quality assessment of the included systematic reviews. Evidence was reported narratively.

resultsA total of 28 relevant systematic reviews which were mostly of moderate quality were included in the overview. Protein biomarkers relating to adipokines, insulin/insulin-like growth factor-1 (IGF-1) axis, inflammatory cytokines and sex hormones were investigated. Higher levels of circulating IGF-1, IGF-binding protein-3, leptin and resistin were found to be associated with an increased risk of premenopausal breast cancer; lower levels of circulating adiponectin and higher levels of circulating c-reactive protein, leptin, and resistin were found to be associated with an increased risk of postmenopausal breast cancer.

conclusionsWe found sufficient evidence on the positive associations between certain obesity-related protein biomarkers with pre- and/or postmenopausal breast cancer risk. These biomarkers could be used jointly as predictors, so as to build a comprehensive risk predictive score for female breast cancer. PROSPERO REGISTRATION NUMBER: CRD42020175328.

Indexed as

AdipokinesBiomarkersBreast NeoplasmsC-Reactive ProteinFemaleGonadal Steroid HormonesHumansInsulinInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor IObesityPostmenopausePremenopauseRisk AssessmentRisk FactorsSystematic Reviews as TopicAdipokinesBiomarkersC-Reactive ProteinGonadal Steroid HormonesIGF1 protein, humanIGFBP3 protein, humanInsulinInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor IBiomarkerBreast cancerObesityOverview of systematic reviewsProteins

Identifiers

PMID33237347
OpenAlexW3108721190

What Socratic holds

Textmetadata
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 Socratic graph.