Evidence map›Paper›PMID 38201557›Full record

ReviewCancers2023

Disparities in Breast Cancer Diagnostics: How Radiologists Can Level the Inequalities.

Filippo Pesapane, Priyan Tantrige, Anna Rotili, Luca Nicosia, Silvia Penco, Anna Carla Bozzini, Sara Raimondi, Giovanni Corso, Roberto Grasso, Gabriella Pravettoni and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Errors in Radiology: A Standard Review.Journal of clinical medicine · 2024
    Review
  9. Review
  10. 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

12 authors at 4 institutions in 2 countries.

Filippo PesapaneBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.ORCID 0000-0002-0374-5054
Priyan TantrigeKing's College Hospital NHS Foundation Trust, London SE5 9RS, UK.
Anna RotiliBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.ORCID 0000-0001-9439-9275
Luca NicosiaBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.ORCID 0000-0003-3979-8075
Silvia PencoBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.
Anna Carla BozziniBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.
Sara RaimondiMolecular and Pharmaco-Epidemiology Unit, Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.ORCID 0000-0003-4673-9049
Giovanni CorsoDepartment of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy.ORCID 0000-0002-9269-0146
Roberto GrassoDepartment of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy.ORCID 0000-0002-9699-9626
Gabriella PravettoniDepartment of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy.
Sara GandiniMolecular and Pharmaco-Epidemiology Unit, Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.ORCID 0000-0002-1348-4548
Enrico CassanoBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.ORCID 0000-0002-3437-8939
European Institute of Oncology · ITUniversity of Milan · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITKing's College Hospital NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access to medical imaging is pivotal in healthcare, playing a crucial role in the prevention, diagnosis, and management of diseases. However, disparities persist in this scenario, disproportionately affecting marginalized communities, racial and ethnic minorities, and individuals facing linguistic or cultural barriers. This paper critically assesses methods to mitigate these disparities, with a focus on breast cancer screening. We underscore scientific mobility as a vital tool for radiologists to advocate for healthcare policy changes: it not only enhances diversity and cultural competence within the radiology community but also fosters international cooperation and knowledge exchange among healthcare institutions. Efforts to ensure cultural competency among radiologists are discussed, including ongoing cultural education, sensitivity training, and workforce diversification. These initiatives are key to improving patient communication and reducing healthcare disparities. This paper also highlights the crucial role of policy changes and legislation in promoting equal access to essential screening services like mammography. We explore the challenges and potential of teleradiology in improving access to medical imaging in remote and underserved areas. In the era of artificial intelligence, this paper emphasizes the necessity of validating its models across a spectrum of populations to prevent bias and achieve equitable healthcare outcomes. Finally, the importance of international collaboration is illustrated, showcasing its role in sharing insights and strategies to overcome global access barriers in medical imaging. Overall, this paper offers a comprehensive overview of the challenges related to disparities in medical imaging access and proposes actionable strategies to address these challenges, aiming for equitable healthcare delivery.

Indexed as

artificial intelligencebreast neoplasmscultural competencyearly detection of cancerhealthcare inequitieshealth policyradiologyteleradiology

Identifiers

PMID38201557
PMCPMC10777939
OpenAlexW4390269228

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.