Evidence map›Paper›PMID 40765843›Full record

ArticleCurrent breast cancer reports2025

Breast Cancer Disparities in the LGBTQ + Community: How to Move Towards Inclusive Care from Screening to Survivorship.

Lauren N Cohen, Faith Bobholz, Chandler S Cortina

Abstract read
In one paragraph

Article in Current breast cancer reports, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

3 authors.

Lauren N CohenDivision of Surgical Oncology, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Faith BobholzDivision of Surgical Oncology, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Chandler S CortinaDivision of Surgical Oncology, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.

Funding

Understanding the Influence of Hormone Therapy on Breast Cancer Risk and Screening through Mixed MethodsK08CA276706 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI Chandler Scott Cortina · 2023 to 2026
$841k
NCI NIH HHS K08 CA276706
6 · The paper itself

Abstract

Purpose of Review: Breast cancer disparities for LGBTQ + individuals exist from screening to survivorship care and lead to worse breast cancer outcomes compared to cisgender, heterosexual individuals. The intent of this review is to provide information on differences in screening rates, risk profiles, treatment goals, and survivorship care plans in breast cancer care for LGBTQ + individuals, along with recommendations on how to reduce and eliminate these disparities. Recent Findings: There has been an expansion in the recognition of LGBTQ + cancer care and preliminary data on the effects of gender-affirming hormone therapy specific to breast cancer development. However, healthcare avoidance of LGBTQ + individuals remains a large barrier to care. Recent studies have found that subgroups within the LGBTQ + community have distinct needs from one another. Specifically, the transgender and gender-diverse population face increased discrimination within the healthcare system with non-uniform breast cancer screening measures. Summary: Current research highlights the ongoing breast cancer disparities that impact the LGBTQ + community. There is a need for increased education on the needs of the LGBTQ + community to mitigate the breast cancer disparities in time to diagnosis and treatment, along with more tailored breast cancer survivorship care plans.

Indexed as

Breast cancerBreast cancer screeningCancer disparitiesLGBTQ +Survivorship

Identifiers

PMID40765843
PMCPMC12320750

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.