Evidence map›Paper›PMID 33721146›Full record

ReviewJournal of immigrant and minority health2021

Differences in Breast Cancer Presentation at Time of Diagnosis for Black and White Women in High Resource Settings.

Jo-Ann Osei-Twum, Sahra Gedleh, Aisha Lofters, Onye Nnorom

Abstract readReview
In one paragraph

Review in Journal of immigrant and minority health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Observational
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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

4 authors.

Jo-Ann Osei-TwumDepartment of Physical Therapy, University of Toronto, 500 University Avenue, Toronto, ON, M5G 1V7, Canada.
Sahra GedlehDepartment of Family and Community Medicine, University of Toronto, 500 University Avenue, Toronto, ON, M5G 1V7, Canada. sahra.gedleh@thp.ca.ORCID http://orcid.org/0000-0002-2353-692X
Aisha LoftersDepartment of Family and Community Medicine, University of Toronto, 500 University Avenue, Toronto, ON, M5G 1V7, Canada.
Onye NnoromDalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, ON, M5T 3M7, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper provides a narrative review of the existing literature on differences in demographic and biological features of breast cancer at time of diagnosis between Black and White women in Canada, the United Kingdom and the United States. Electronic database searches for published peer-reviewed articles on this topic were conducted, and 78 articles were included in the final narrative review. Differences between Black and White women were compared for eight categories including age, tumour stage, size, grade, lymph node involvement, and hormone status. Black women were significantly more likely to present with less favourable tumour features at the time of diagnosis than White women. Significant differences were reported in age at diagnosis, tumour stage, size, grade and hormone status, particularly triple negative breast cancer. Limitations on the generalizability of the review findings are discussed, as well as the implications of these findings on future research, especially within the Canadian context.

Indexed as

Breast NeoplasmsBlack or African AmericanCanadaFemaleHumansUnited KingdomUnited StatesWhite PeopleBreast cancerCanadaRaceTriple negative breast cancerUnited KingdomUnited States

Identifiers

PMID33721146
PMCPMC8599379

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.