Evidence map›Paper›PMID 32348568›Full record

ArticleCancer2020

A phased approach to implementing the Breast Imaging Reporting and Data System (BI-RADS) in low-income and middle-income countries.

Diana L Lam, Pegah Entezari, Catherine Duggan, Zeridah Muyinda, Andres Vasquez, Jorge Huayanay, Benjamin O Anderson, John R Scheel

Open access · bronzeAbstract read
In one paragraph

Article in Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Breast Imaging Reporting and Data System (BI-RADS®): a success history and particularities of its use in Brazil.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2024
    Article
  3. Review
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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

8 authors at 5 institutions in 4 countries.

Diana L LamDepartment of Radiology, Seattle Cancer Care Alliance, University of Washington, Seattle, Washington.ORCID 0000-0002-6310-7740
Pegah EntezariDepartment of Radiology, Seattle Cancer Care Alliance, University of Washington, Seattle, Washington.
Catherine DugganDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0001-7369-4021
Zeridah MuyindaDepartment of Radiology, Mulago Hospital, Kampala, Uganda.
Andres VasquezDepartment of Radiology, Las Americas Clinic, Medellin, Colombia.
Jorge HuayanayDepartment of Radiology, National Institute of Neoplastic Diseases, Lima, Peru.
Benjamin O AndersonDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
John R ScheelDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0002-0998-0098
Seattle Cancer Care Alliance · USFred Hutch Cancer Center · USInstituto de Cancerología Las Américas · COInstituto Nacional de Enfermedades Neoplásicas · PEMulago Hospital · UG

Funding

Resource stratified phased implementation frameworks to improve breast healthcareR13CA224776 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ANDERSON, BENJAMIN OLNEY · 2018 to 2018
$50k
Advancing Breast Health in UgandaR13CA275171 · NCI · FRED HUTCHINSON CANCER CENTER · PI DUGGAN, CATHERINE ROSE, SCHEEL, JOHN R · 2022 to 2022
$25k
NCI NIH HHS 1R13CA224776-01A1NCI NIH HHS R13 CA224776NCI NIH HHS R13 CA275171
6 · The paper itself

Abstract

backgroundSuccessful breast cancer detection programs rely on standardized reporting and interpreting systems, such as the Breast Imaging Reporting and Data System (BI-RADS), to improve system performance. In low-income and middle-income countries, evolving diagnostic programs have insufficient resources to either fully implement BI-RADS or to periodically evaluate the program's performance, which is a necessary component of BI-RADS. This leads to inconsistent breast ultrasound interpretation and a failure to improve performance.

methodsThe authors applied the Breast Health Global Initiative's phased implementation strategy to implement diagnostic ultrasound and BI-RADS within the context of a limited-resource setting.

resultsThe authors recommended starting with triage ultrasound to distinguish suspicious masses from normal breast tissue and benign masses such as cysts because the majority of health workers performing ultrasounds at this level have minimal breast imaging experience. Transitioning to full diagnostic ultrasound with condensed or full BI-RADS should occur after performance and quality metrics have been met.

conclusionsTransitioning through these phases across facilities likely will occur at different times, particularly in rural versus urban settings.

Indexed as

Breast NeoplasmsClinical CompetenceDiagnosis, DifferentialEarly Detection of CancerFemaleHumansSocioeconomic FactorsTriageUltrasonography, MammaryauditBI-RADSBreast Imaging Reporting and Data Systemfeedbacklow-income and middle-income countriesphased implementation

Identifiers

PMID32348568
PMCPMC12991354
OpenAlexW3018433205

What OpenQuestion holds

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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.