Evidence map›Paper›PMID 41390515›Full record

ArticleNPJ breast cancer2025

Racial and ethnic disparities in survival outcomes among patients with inflammatory breast cancer: a systematic review and meta-analysis.

Chalothorn Wannaphut, Ben Ponvilawan, Toshiaki Iwase, Yoko Takahashi, Xiaoping Wang, Naoto T Ueno

Abstract read
In one paragraph

Article in NPJ breast cancer, 2025. 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

6 authors.

Chalothorn WannaphutDepartment of Internal Medicine, John A. Burns School of Medicine, University of Hawai'i, Honolulu, HI, USA.
Ben PonvilawanDepartment of Internal Medicine, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA.
Toshiaki IwaseUniversity of Hawai'i Cancer Center Inflammatory Breast Cancer Clinic and Research Program, Honolulu, HI, USA.
Yoko TakahashiUniversity of Hawai'i Cancer Center Inflammatory Breast Cancer Clinic and Research Program, Honolulu, HI, USA.
Xiaoping WangUniversity of Hawai'i Cancer Center Inflammatory Breast Cancer Clinic and Research Program, Honolulu, HI, USA.
Naoto T UenoUniversity of Hawai'i Cancer Center Inflammatory Breast Cancer Clinic and Research Program, Honolulu, HI, USA. nueno@cc.hawaii.edu.

Funding

Development of a novel therapy targeting the tumor microenvironment in inflammatory breast cancerR01CA258523 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI UENO, NAOTO T. · 2022 to 2025
$3.2M
NCI NIH HHS R01 CA258523
6 · The paper itself

Abstract

Inflammatory breast cancer (IBC) is a rare and aggressive subtype of breast cancer characterized by rapid progression, early metastasis, and poor prognosis. While racial and ethnic disparities in IBC outcomes have been reported, existing findings remain inconsistent. We conducted the first systematic review and meta-analysis to comprehensively evaluate survival disparities by race and ethnicity among patients with IBC. A systematic search of MEDLINE and EMBASE identified 15 eligible studies. Compared to non-Hispanic White (NHW) patients, non-Hispanic Black patients had higher mortality (HR: 1.45; 95% CI: 1.34-1.57), while Asian or Asian Pacific Islander (API) patients had lower mortality (HR: 0.78; 95% CI: 0.65-0.94). Hispanic patients did not show statistically different survival outcomes compared to NHW patients (HR: 1.06, 95% CI 0.88-1.28). These findings underscore persistent racial disparities in IBC outcomes, although inherent biases and confounding in observational studies warrant cautious interpretation.

Identifiers

PMID41390515
PMCPMC12804727

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LicenceCC BY-NC-ND
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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.