Evidence map›Paper›PMID 38091020›Full record

ArticleJAMA surgery2024

Benign Breast Disease and Breast Cancer Risk in the Percutaneous Biopsy Era.

Mark E Sherman, Robert A Vierkant, Stacey J Winham, Celine M Vachon, Jodi M Carter, Laura Pacheco-Spann, Matthew R Jensen, Bryan M McCauley, Tanya L Hoskin, Lisa Seymour and 5 more

Open access · greenAbstract read
In one paragraph

Article in JAMA surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Advancing Evidence of the Associations between specific Benign Breast Diagnoses and Future Breast Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 2 countries.

Mark E ShermanQuantitative Health Sciences, Mayo Clinic, Jacksonville, Florida.
Robert A VierkantQuantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Stacey J WinhamQuantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Celine M VachonDivision of Epidemiology, Mayo Clinic, Rochester, Minnesota.
Jodi M CarterDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
Laura Pacheco-SpannQuantitative Health Sciences, Mayo Clinic, Jacksonville, Florida.
Matthew R JensenQuantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Bryan M McCauleyQuantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Tanya L HoskinQuantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Lisa SeymourDepartment of Surgery, Mayo Clinic, Rochester, Minnesota.
Denice GehlingDepartment of Surgery, Mayo Clinic, Rochester, Minnesota.
Jessica FischerDepartment of Surgery, Mayo Clinic, Rochester, Minnesota.
Karthik GhoshDepartment of General Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Derek C RadiskyCancer Biology, Mayo Clinic, Jacksonville, Florida.
Amy C DegnimDepartment of Surgery, Mayo Clinic, Rochester, Minnesota.
Mayo Clinic in Florida · USMayo Clinic · USUniversity of Alberta · CA

Funding

Biomarkers to Improve Targeting of Breast Cancer Prevention in Women with Atypical HyperplasiaR01CA237607 · NCI · MAYO CLINIC ROCHESTER · PI DEGNIM, AMY C, RADISKY, DEREK C · 2020 to 2024
$4.2M
Predicting Breast Cancer Risk after Benign Percutaneous BiopsyR01CA229811 · NCI · MAYO CLINIC JACKSONVILLE · PI DEGNIM, AMY C, SHERMAN, MARK E · 2018 to 2022
$3.5M
Targeted Prevention of Postpartum-Related Breast Cancer (PRBC)R01CA262393 · NCI · MAYO CLINIC JACKSONVILLE · PI Derek C Radisky, Kathryn Jean Ruddy · 2022 to 2026
$3.0M
Involution-based biomarkers of breast cancer riskR01CA237602 · NCI · MAYO CLINIC JACKSONVILLE · PI DEGNIM, AMY C, RADISKY, DEREK C · 2020 to 2024
$2.8M
NCI NIH HHS R01 CA229811NCI NIH HHS R01 CA237602NCI NIH HHS R01 CA237607
6 · The paper itself

Abstract

Importance: Benign breast disease (BBD) comprises approximately 75% of breast biopsy diagnoses. Surgical biopsy specimens diagnosed as nonproliferative (NP), proliferative disease without atypia (PDWA), or atypical hyperplasia (AH) are associated with increasing breast cancer (BC) risk; however, knowledge is limited on risk associated with percutaneously diagnosed BBD. Objectives: To estimate BC risk associated with BBD in the percutaneous biopsy era irrespective of surgical biopsy. Design, Setting, and Participants: In this retrospective cohort study, BBD biopsy specimens collected from January 1, 2002, to December 31, 2013, from patients with BBD at Mayo Clinic in Rochester, Minnesota, were reviewed by 2 pathologists masked to outcomes. Women were followed up from 6 months after biopsy until censoring, BC diagnosis, or December 31, 2021. Exposure: Benign breast disease classification and multiplicity by pathology panel review. Main Outcomes: The main outcome was diagnosis of BC overall and stratified as ductal carcinoma in situ (DCIS) or invasive BC. Risk for presence vs absence of BBD lesions was assessed by Cox proportional hazards regression. Risk in patients with BBD compared with female breast cancer incidence rates from the Iowa Surveillance, Epidemiology, and End Results (SEER) program were estimated. Results: Among 4819 female participants, median age was 51 years (IQR, 43-62 years). Median follow-up was 10.9 years (IQR, 7.7-14.2 years) for control individuals without BC vs 6.6 years (IQR, 3.7-10.1 years) for patients with BC. Risk was higher in the cohort with BBD than in SEER data: BC overall (standard incidence ratio [SIR], 1.95; 95% CI, 1.76-2.17), invasive BC (SIR, 1.56; 95% CI, 1.37-1.78), and DCIS (SIR, 3.10; 95% CI, 2.54-3.77). The SIRs increased with increasing BBD severity (1.42 [95% CI, 1.19-1.71] for NP, 2.19 [95% CI, 1.88-2.54] for PDWA, and 3.91 [95% CI, 2.97-5.14] for AH), comparable to surgical cohorts with BBD. Risk also increased with increasing lesion multiplicity (SIR: 2.40 [95% CI, 2.06-2.79] for ≥3 foci of NP, 3.72 [95% CI, 2.31-5.99] for ≥3 foci of PDWA, and 5.29 [95% CI, 3.37-8.29] for ≥3 foci of AH). Ten-year BC cumulative incidence was 4.3% for NP, 6.6% for PDWA, and 14.6% for AH vs an expected population cumulative incidence of 2.9%. Conclusions and Relevance: In this contemporary cohort study of women diagnosed with BBD in the percutaneous biopsy era, overall risk of BC was increased vs the general population (DCIS and invasive cancer combined), similar to that in historical BBD cohorts. Development and validation of pathologic classifications including both BBD severity and multiplicity may enable improved BC risk stratification.

Indexed as

Breast DiseasesBreast NeoplasmsCarcinoma, Intraductal, NoninfiltratingPrecancerous ConditionsBiopsyCohort StudiesFemaleHumansHyperplasiaMiddle AgedRetrospective StudiesRisk Assessment

Identifiers

PMID38091020
PMCPMC10719829
OpenAlexW4389671943

What OpenQuestion holds

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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.