Evidence map›Paper›PMID 31669081›Full record

ArticleJournal of the American College of Radiology : JACR2020

Factors Associated With Optimal Follow-up in Women With BI-RADS 3 Breast Findings.

Ronilda Lacson, Aijia Wang, Laila Cochon, Catherine Giess, Sonali Desai, Sunil Eappen, Ramin Khorasani

Open access · greenAbstract read
In one paragraph

Article in Journal of the American College of Radiology : JACR, 2020. 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 14% 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, 24 citations in OpenAlex.

  1. Article
  2. Factors Associated With Timeliness and Equity of Access to Outpatient MRI Examinations.Journal of the American College of Radiology : JACR · 2024
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  10. Screening Mammogram Adherence in Medically Underserved Women: Does Language Preference Matter?Journal of cancer education : the official journal of the American Association for Cancer Education · 2022
    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

7 authors at 2 institutions in 1 country.

Ronilda LacsonCenter for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts. Electronic address: rlacson@rics.bwh.harvard.edu.
Aijia WangCenter for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts.
Laila CochonCenter for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts.
Catherine GiessCenter for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
Sonali DesaiHarvard Medical School, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Sunil EappenHarvard Medical School, Boston, Massachusetts; Department of Anesthesiology, Brigham and Women's Hospital, Boston, Massachusetts.
Ramin KhorasaniCenter for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
Brigham and Women's Hospital · USHarvard University · US

Funding

Factors that Enhance Diagnostic Imaging Safety in the Ambulatory SettingR01HS024722 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI LACSON, RONILDA · 2016 to 2020
$1.7M
AHRQ HHS R01 HS024722
6 · The paper itself

Abstract

objectiveAssess rate of and factors associated with optimal follow-up in patients with BI-RADS 3 breast findings.

methodsThis Institutional Review Board-approved, retrospective cohort study, performed at an academic medical center, included all women undergoing breast imaging (ultrasound and mammography) in 2016. Index reports for unique patients with an assessment of BI-RADS 3 (retrieved via natural language processing) comprised the study population. Patient-specific and provider-related features were extracted from the Research Data Warehouse. The Institutional Cancer Registry identified patients diagnosed with breast cancer. Optimal follow-up rate was calculated as patients with follow-up imaging on the same breast 3 to 9 months from the index examination among patients with BI-RADS 3 assessments. Univariate analysis and multivariable logistic regression determined features associated with optimal follow-up. Malignancy rate and time to malignancy detection were recorded.

resultsAmong 93,685 breast imaging examinations, 64,771 were from unique patients of which 2,967 had BI-RADS 3 findings (4.6%). Excluding patients with off-site index examinations and those with another breast examination <3 months from the index, 1,125 of 1,511 patients (74%) had optimal follow-up. In univariate and multivariable analysis, prior breast cancer was associated with optimal follow-up; younger age, Hispanic ethnicity, divorced status, and lack of insurance were associated with not having optimal follow-up. Malignancy rate was 0.86%, and mean time to detection was 330 days. DISCUSSION: Follow-up of BI-RADS 3 breast imaging findings is optimal in only 74% of women. Further interventions to promote follow-up should target younger, unmarried women, those with Hispanic ethnicity, and women without history of breast cancer and without insurance coverage.

Indexed as

Breast NeoplasmsMammographyBreastFemaleFollow-Up StudiesHumansRetrospective StudiesBI-RADSbreast imagingfollow-uphealth disparitiesmammography

Identifiers

PMID31669081
PMCPMC7509994
OpenAlexW2981740845

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.