ArticleBMJ open2023
Relationship between intersectionality and cancer inequalities: a scoping review protocol.
Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- The Effect of Yoga on Cancer-Related Fatigue and Quality of Life Among Racially and Ethnically Diverse Cancer Survivors: A Secondary Data Analysis.Journal of integrative and complementary medicine · 2025Trial
- Patient-reported quality-of-life outcomes in immune checkpoint inhibitor therapy: addressing gaps, capturing patient experience, and advancing the field.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Review
- Article
- Intersectionality of cancer disparities in south Asia.The Lancet. Global health · 2026Review
- Quality-of-care indicators for oncology management: an analysis of Asia-Pacific healthcare and oncology indicators.ESMO open · 2025Review
- Challenges in understanding inequities in help-seeking for possible cancer symptoms.BMC global and public health · 2024Review
- Intersectionality,Cancers · 2024Article
- Adapting an Adolescent and Young Adult Program Housed in a Quaternary Cancer Centre to a Regional Cancer Centre: Creating Equitable Access to Developmentally Tailored Support.Current oncology (Toronto, Ont.) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPersistent inequalities in cancer care and cancer outcomes exist within and between countries. However, the evidence pertaining to the root causes driving cancer inequalities is mixed. This may be explained by the inadequate attention paid to experiences of patients with cancer living at the intersection of multiple social categories (eg, social class, ethnicity). This is supported by the intersectionality framework. This framework offers an alternative lens through which to analyse and understand how these interlocking systems of oppression uniquely shape the experiences of patients with cancer and drive inequalities. In this protocol, we outline a scoping review that will systematically map what is known about the relationship between intersectionality and inequalities in care experience and cancer outcomes of patients with cancer; and to determine how the intersectionality framework has been applied in studies across the cancer care pathway and across countries. METHODS AND ANALYSIS: This study will be guided by Arksey and O'Malley's, and Levac ETHICS AND DISSEMINATION: Ethical approval is not required since data used are from publicly available secondary sources. Findings will be disseminated through peer-reviewed journals, conferences and stakeholder meetings. Further, findings will inform the next phases of a multistage research project aimed at understanding inequalities among patients with breast cancer.
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Registered trials
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.