Evidence map›Paper›PMID 34665436›Full record

ReviewBreast cancer (Tokyo, Japan)2022

Identifying women with increased risk of breast cancer and implementing risk-reducing strategies and supplemental imaging.

Suneela Vegunta, Asha A Bhatt, Sadia A Choudhery, Sandhya Pruthi, Aparna S Kaur

Abstract readReview
PubMed Publisher
In one paragraph

Review in Breast cancer (Tokyo, Japan), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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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

5 authors.

Suneela VeguntaDivision of Women's Health Internal Medicine, Mayo Clinic, 13400 E Shea Blvd, Scottsdale, AZ, 85259, USA. vegunta.suneela@mayo.edu.
Asha A BhattDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Sadia A ChoudheryDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Sandhya PruthiDivision of General Internal Medicine, Breast Cancer Clinic, Mayo Clinic, Rochester, MN, USA.
Aparna S KaurDivision of General Internal Medicine, Breast Cancer Clinic, Mayo Clinic, Rochester, MN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is the second most common cancer in women, affecting 1 in 8 women in the United States (12.5%) in their lifetime. However, some women have a higher lifetime risk of BC because of genetic and lifestyle factors, mammographic breast density, and reproductive and hormonal factors. Because BC risk is variable, screening and prevention strategies should be individualized after considering patient-specific risk factors. Thus, health care professionals need to be able to assess risk profiles, identify high-risk women, and individualize screening and prevention strategies through a shared decision-making process. In this article, we review the risk factors for BC, risk-assessment models that identify high-risk patients, and preventive medications and lifestyle modifications that may decrease risk. We also discuss the benefits and limitations of various supplemental screening methods.

Indexed as

Risk AssessmentBreast DensityBreast NeoplasmsDiagnostic ImagingEarly Detection of CancerFemaleGenetic CounselingGenetic Predisposition to DiseaseHumansLife StyleMammographyMenarcheMenopausePractice Guidelines as TopicPrimary PreventionRisk FactorsBRCABreast MRIDense breast tissueRisk-assessment modelsRisk factors for breast cancer

Identifiers

What OpenQuestion 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 OpenQuestion graph.