Evidence map›Paper›PMID 36737116›Full record

ArticleMayo Clinic proceedings2023

Breast Cancer Mode of Detection in a Population-Based Cohort.

Susanna N Basappa, Lila J Finney Rutten, Carrie B Hruska, Janet E Olson, Debra J Jacobson, Deborah J Rhodes

Open access · greenAbstract read
In one paragraph

Article in Mayo Clinic proceedings, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Determinants of stage at breast cancer diagnosis across different healthcare systems: an international multicentre cohort study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  2. 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

6 authors at 3 institutions in 1 country.

Susanna N BasappaMayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, MN; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN. Electronic address: Basappa.Susanna@mayo.edu.
Lila J Finney RuttenRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN; Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN.
Carrie B HruskaDivision of Medical Physics, Department of Radiology, Mayo Clinic, Rochester, MN.
Janet E OlsonDivision of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN.
Debra J JacobsonRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN; Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN.
Deborah J RhodesDivision of General Internal Medicine, Mayo Clinic, Rochester, MN; Department of Internal Medicine, Yale New Haven Health, New Haven, CT. Electronic address: Deborah.Rhodes@YNHH.org.
Mayo Clinic in Arizona · USMayo Clinic · USMayo Clinic in Florida · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI AKHILESH PANDEY · 1985 to 2026
$151.3M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
Cancer stage and diagnostic triggers as mortality surrogate to validate supplemental breast imaging use in women with dense breastsF30CA235848 · NCI · MAYO CLINIC ROCHESTER · PI BASAPPA, SUSANNA NILA · 2019 to 2023
$237k
NCI NIH HHS F30 CA235848NCI NIH HHS P30 CA015083NIA NIH HHS R01 AG034676NIA NIH HHS R33 AG058738
6 · The paper itself

Abstract

objectiveTo evaluate how breast cancers come to clinical attention (mode of detection [MOD]) in a population-based cohort, determine the relative frequency of different MODs, and characterize patient and tumor characteristics associated with MOD. PATIENTS AND

methodsWe used the Rochester Epidemiology Project to identify women ages 40 to 75 years with a first-time diagnosis of breast cancer from May 9, 2017, to May 9, 2019 (n=500) in a 9-county region in Minnesota. We conducted a retrospective medical record review to ascertain the relative frequency of MODs, evaluating differences between screening mammography vs all other MODs by breast density and cancer characteristics. Multiple logistic regression was conducted to examine the likelihood of MOD for breast density and stage of disease.

resultsIn our population-based cohort, 162 of 500 breast cancers (32.4%) were detected by MODs other than screening mammography, including 124 (24.8%) self-detected cancers. Compared with women with mammography-detected cancers, those with MODs other than screening mammography were more frequently younger than 50 years of age (P=.004) and had higher-grade tumors (P=.007), higher number of positive lymph nodes (P<.001), and larger tumor size (P<.001). Relative to women with mammography-detected cancers, those with MODs other than screening mammography were more likely to have dense breasts (odds ratio, 1.87; 95% CI, 1.20 to 2.92; P=.006) and advanced cancer at diagnosis (odds ratio, 3.58; 95% CI, 2.29 to 5.58; P<.001).

conclusionOne-third of all breast cancers in this population were detected by MODs other than screening mammography. Increased likelihood of nonmammographic MODs was observed among women with dense breasts and advanced cancer.

Indexed as

Breast NeoplasmsAdultAgedEarly Detection of CancerFemaleHumansMammographyMass ScreeningMiddle AgedRetrospective Studies

Identifiers

PMID36737116
PMCPMC9907001
OpenAlexW4318815832

What OpenQuestion holds

Textmetadata
LicenceTDM
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.