Evidence map›Paper›PMID 39057163›Full record

ArticleCurrent oncology (Toronto, Ont.)2024

A Retrospective Analysis of Diagnostic Breast Imaging Outcomes in Young Women at a Tertiary Care Center.

Navdeep Dehar, Doris Jabs, Wilma Hopman, Mihaela Mates

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Navdeep DeharDepartment of Oncology, Queen's School of Medicine, Queen's University, Kingston, ON K7L 5P9, Canada.ORCID 0000-0002-9534-6738
Doris JabsDepartment of Oncology, Queen's School of Medicine, Queen's University, Kingston, ON K7L 5P9, Canada.
Wilma HopmanKGH Research Institute, Department of Public Health Sciences, Queen's University, Kingston, ON K7L 3N6, Canada.ORCID 0000-0002-3023-0080
Mihaela MatesDepartment of Oncology, Queen's School of Medicine, Queen's University, Kingston, ON K7L 5P9, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Purpose: The purpose of this study was to describe the outcomes of diagnostic breast imaging and the incidence of delayed breast cancer diagnosis in the study population. (2) Methods: We collected the outcome data from diagnostic mammograms and/or breast ultrasounds (USs) performed on women between the ages of 30 and 50 with symptomatic breast clinical presentations between 2018 and 2019. (3) Results: Out of 171 eligible patients, 10 patients (5.8%) had BIRADS 0, 90 patients (52.6%) had benign findings (BIRADS 1 and 2), 41 (24.0%) patients had probable benign findings requiring short-term follow-up (BIRADS 3), while 30 (17.5%) patients had findings suspicious of malignancy (BIRADS 4 and 5). In the BIRADS 3 group, 92.7% had recommended follow-up, while in BIRADS 4 and 5, only 83.3% underwent recommended biopsy at a mean time of 1.7 weeks (range 0-22 wks) from their follow-up scan. Ten (6%) patients were diagnosed with breast cancer, all of whom had BIRADS 4 or 5, with a mean time of breast cancer diagnosis from initial diagnostic imaging of 2.2 weeks (range 1-22 wks). No patients had delayed breast cancer diagnosis in our cohort. (4) Conclusions: We conclude that diagnostic mammograms and breast US are appropriate investigations for clinical breast concerns in women aged 30-50 years.

Indexed as

Breast NeoplasmsMammographyTertiary Care CentersAdultFemaleHumansMiddle AgedRetrospective StudiesUltrasonography, Mammarybreast cancerdiagnostic mammogramscreeningultrasoundyoung women

Identifiers

PMID39057163
PMCPMC11276166

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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.