Racial and Socioeconomic Disparity in Breast Cancer Mortality: A Systematic Review and Meta-Analysis Article Swipe
Helena Fiats Ribeiro
,
Fernando Castilho Pelloso
,
Beatriz Sousa da Fonseca
,
Camila Wohlenberg Camparoto
,
Maria Dalva de Barros Carvalho
,
Vlaudimir Dias Marques
,
Mariá Românio Bitencourt
,
Kely Paviani Stevanato
,
Pedro Beraldo Borba
,
Deise Helena Pelloso Borghesan
,
Paulo Acácio Egger
,
Ana Carolina Jacinto Alarcão
,
Roberto Kenji Nakamura Cuman
,
Isabella Morais Tavares Huber
,
Márcia Edilaine Lopes Consolaro
,
Constanza Pujals
,
Carlos Laranjeira
,
Raíssa Bocchi Pedroso
,
Sandra Marisa Pelloso
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/cancers17101641
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/cancers17101641
Background/Objectives: Breast cancer is one of the leading causes of female mortality worldwide, but significant racial and socioeconomic disparities persist in disease outcomes. This review aimed to analyze racial and socioeconomic inequalities in mortality and survival from breast cancer, identifying the impact of social risk factors on access to diagnosis and treatment. Methods: A systematic literature review and meta-analysis was performed following PRISMA guidelines. Eighteen studies published between 2014 and 2024 were included, with 11 contributing to the meta-analysis. Random-effect models were used to assess correlations between socioeconomic status, race, and clinical outcomes, including heterogeneity and publication bias analyses. Results: The strongest associations were observed between income, race, and breast cancer survival, with survival significantly worse among Black women and low-income populations (p < 0.001). Income also showed a strong positive correlation with clinical outcomes. In contrast, the overall effect on mortality was not statistically significant (p = 0.290), likely due to high heterogeneity across studies (I2 = 100%). These findings suggest that structural disparities in access to healthcare and early detection substantially affect survival rates. Conclusions: Racial and socioeconomic disparities in breast cancer outcomes remain critical public health challenges. Targeted policies to expand early diagnosis and ensure equitable access to effective treatment are essential to reduce these disparities and improve survival in underserved populations.
Related Topics
Concepts
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3390/cancers17101641
- https://www.mdpi.com/2072-6694/17/10/1641/pdf?version=1747106569
- OA Status
- gold
- Cited By
- 4
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410312485
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410312485Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/cancers17101641Digital Object Identifier
- Title
-
Racial and Socioeconomic Disparity in Breast Cancer Mortality: A Systematic Review and Meta-AnalysisWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-05-13Full publication date if available
- Authors
-
Helena Fiats Ribeiro, Fernando Castilho Pelloso, Beatriz Sousa da Fonseca, Camila Wohlenberg Camparoto, Maria Dalva de Barros Carvalho, Vlaudimir Dias Marques, Mariá Românio Bitencourt, Kely Paviani Stevanato, Pedro Beraldo Borba, Deise Helena Pelloso Borghesan, Paulo Acácio Egger, Ana Carolina Jacinto Alarcão, Roberto Kenji Nakamura Cuman, Isabella Morais Tavares Huber, Márcia Edilaine Lopes Consolaro, Constanza Pujals, Carlos Laranjeira, Raíssa Bocchi Pedroso, Sandra Marisa PellosoList of authors in order
- Landing page
-
https://doi.org/10.3390/cancers17101641Publisher landing page
- PDF URL
-
https://www.mdpi.com/2072-6694/17/10/1641/pdf?version=1747106569Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2072-6694/17/10/1641/pdf?version=1747106569Direct OA link when available
- Concepts
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Meta-analysis, Breast cancer, Socioeconomic status, Medicine, Cancer, Oncology, Systematic review, MEDLINE, Internal medicine, Environmental health, Biology, Population, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4Per-year citation counts (last 5 years)
- References (count)
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46Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Racial | 177 |
| abstract_inverted_index.access | 47, 166, 199 |
| abstract_inverted_index.across | 154 |
| abstract_inverted_index.affect | 173 |
| abstract_inverted_index.assess | 84 |
| abstract_inverted_index.breast | 37, 109, 182 |
| abstract_inverted_index.cancer | 2, 110, 183 |
| abstract_inverted_index.causes | 8 |
| abstract_inverted_index.effect | 139 |
| abstract_inverted_index.ensure | 197 |
| abstract_inverted_index.expand | 193 |
| abstract_inverted_index.female | 10 |
| abstract_inverted_index.health | 188 |
| abstract_inverted_index.impact | 41 |
| abstract_inverted_index.likely | 149 |
| abstract_inverted_index.models | 80 |
| abstract_inverted_index.public | 187 |
| abstract_inverted_index.racial | 15, 28 |
| abstract_inverted_index.rates. | 175 |
| abstract_inverted_index.reduce | 206 |
| abstract_inverted_index.remain | 185 |
| abstract_inverted_index.review | 24, 56 |
| abstract_inverted_index.showed | 127 |
| abstract_inverted_index.social | 43 |
| abstract_inverted_index.strong | 129 |
| abstract_inverted_index.0.001). | 124 |
| abstract_inverted_index.0.290), | 148 |
| abstract_inverted_index.analyze | 27 |
| abstract_inverted_index.between | 67, 86, 105 |
| abstract_inverted_index.cancer, | 38 |
| abstract_inverted_index.disease | 21 |
| abstract_inverted_index.factors | 45 |
| abstract_inverted_index.improve | 210 |
| abstract_inverted_index.income, | 106 |
| abstract_inverted_index.leading | 7 |
| abstract_inverted_index.overall | 138 |
| abstract_inverted_index.persist | 19 |
| abstract_inverted_index.status, | 88 |
| abstract_inverted_index.studies | 65, 155 |
| abstract_inverted_index.suggest | 161 |
| abstract_inverted_index.Eighteen | 64 |
| abstract_inverted_index.Methods: | 52 |
| abstract_inverted_index.Results: | 99 |
| abstract_inverted_index.Targeted | 190 |
| abstract_inverted_index.clinical | 91, 133 |
| abstract_inverted_index.critical | 186 |
| abstract_inverted_index.findings | 160 |
| abstract_inverted_index.observed | 104 |
| abstract_inverted_index.outcomes | 184 |
| abstract_inverted_index.policies | 191 |
| abstract_inverted_index.positive | 130 |
| abstract_inverted_index.survival | 35, 113, 174, 211 |
| abstract_inverted_index.analyses. | 98 |
| abstract_inverted_index.contrast, | 136 |
| abstract_inverted_index.detection | 171 |
| abstract_inverted_index.diagnosis | 49, 195 |
| abstract_inverted_index.effective | 201 |
| abstract_inverted_index.equitable | 198 |
| abstract_inverted_index.essential | 204 |
| abstract_inverted_index.following | 61 |
| abstract_inverted_index.included, | 72 |
| abstract_inverted_index.including | 93 |
| abstract_inverted_index.mortality | 11, 33, 141 |
| abstract_inverted_index.outcomes, | 92 |
| abstract_inverted_index.outcomes. | 22, 134 |
| abstract_inverted_index.performed | 60 |
| abstract_inverted_index.published | 66 |
| abstract_inverted_index.strongest | 101 |
| abstract_inverted_index.survival, | 111 |
| abstract_inverted_index.treatment | 202 |
| abstract_inverted_index.healthcare | 168 |
| abstract_inverted_index.literature | 55 |
| abstract_inverted_index.low-income | 120 |
| abstract_inverted_index.structural | 163 |
| abstract_inverted_index.systematic | 54 |
| abstract_inverted_index.treatment. | 51 |
| abstract_inverted_index.worldwide, | 12 |
| abstract_inverted_index.challenges. | 189 |
| abstract_inverted_index.correlation | 131 |
| abstract_inverted_index.disparities | 18, 164, 180, 208 |
| abstract_inverted_index.guidelines. | 63 |
| abstract_inverted_index.identifying | 39 |
| abstract_inverted_index.populations | 121 |
| abstract_inverted_index.publication | 96 |
| abstract_inverted_index.significant | 14, 145 |
| abstract_inverted_index.underserved | 213 |
| abstract_inverted_index.Conclusions: | 176 |
| abstract_inverted_index.associations | 102 |
| abstract_inverted_index.contributing | 75 |
| abstract_inverted_index.correlations | 85 |
| abstract_inverted_index.inequalities | 31 |
| abstract_inverted_index.populations. | 214 |
| abstract_inverted_index.Random-effect | 79 |
| abstract_inverted_index.heterogeneity | 94, 153 |
| abstract_inverted_index.meta-analysis | 58 |
| abstract_inverted_index.significantly | 114 |
| abstract_inverted_index.socioeconomic | 17, 30, 87, 179 |
| abstract_inverted_index.statistically | 144 |
| abstract_inverted_index.substantially | 172 |
| abstract_inverted_index.meta-analysis. | 78 |
| abstract_inverted_index.Background/Objectives: | 0 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 97 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 19 |
| citation_normalized_percentile.value | 0.97115141 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |