Evidence map›Paper›PMID 38900977›Full record

ArticleJCO oncology practice2024

Racial Disparities and Strategies for Improving Equity in Diagnostic Follow-Up for Abnormal Screening Mammograms.

Ritika Manik, Connor B Grady, Sara P Ginzberg, Christine E Edmonds, Emily F Conant, Rebecca A Hubbard, Oluwadamilola M Fayanju

Abstract read
In one paragraph

Article in JCO oncology practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

Ritika ManikHarvard Medical School, Boston, MA.ORCID 0000-0001-6701-3533
Connor B GradyDepartment of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA.ORCID 0000-0001-8407-846X
Sara P GinzbergAbramson Cancer Center, The University of Pennsylvania, Philadelphia, PA.ORCID 0000-0003-1657-0617
Christine E EdmondsAbramson Cancer Center, The University of Pennsylvania, Philadelphia, PA.ORCID 0000-0002-9606-816X
Emily F ConantAbramson Cancer Center, The University of Pennsylvania, Philadelphia, PA.ORCID 0000-0001-9331-644X
Rebecca A HubbardDepartment of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA.ORCID 0000-0003-0879-0994
Oluwadamilola M FayanjuAbramson Cancer Center, The University of Pennsylvania, Philadelphia, PA.ORCID 0000-0002-0876-975X

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert H. Vonderheide · 1985 to 2026
$222.3M
Using Modifiable Risk Factors to Predict Inferior Care and Survival after Breast Cancer Diagnosis: A Novel Approach to Addressing Health DisparitiesK08CA241390 · NCI · UNIVERSITY OF PENNSYLVANIA · PI FAYANJU, OLUWADAMILOLA M. · 2019 to 2023
$1.1M
NCI NIH HHS K08 CA241390NCI NIH HHS P30 CA016520
6 · The paper itself

Abstract

purposeBlack and White women undergo screening mammography at similar rates, but racial disparities in breast cancer outcomes persist. To assess potential contributors, we investigated delays in follow-up after abnormal imaging by race/ethnicity.

methodsWomen who underwent screening mammography at our urban academic center from January 2015 to February 2018 and received a Breast Imaging Reporting and Data System 0 assessment were included. Kaplan-Meier estimates described distributions of time between diagnostic events from (1) screening to diagnostic imaging and (2) diagnostic imaging to biopsy. Multivariable logistic regression models estimated the associations between race/ethnicity and receipt of follow-up within 15 and 30 days.

resultsTwo thousand five hundred and fifty-four women were included (48.6% non-Hispanic [NH] Black, 38.2% NH White, 13.1% other/unknown). Median time between screening and diagnostic imaging varied by race/ethnicity (White: 7 days [IQR, 2-14]; Black: 12 days [IQR, 7-23]; other/unknown: 9 days [IQR, 5-21]). There were similar disparities in days between diagnostic imaging and biopsy (White: 12 [IQR, 7-24]; Black: 21 [IQR, 13-37]; other/unknown: 16 [IQR, 9-30]) and between screening and biopsy (White: 20 [IQR, 11-41]; Black: 35 [IQR, 22-63]; other/unknown: 27.5 [IQR, 17-42]). After adjustment, odds of diagnostic imaging follow-up within 15 days of screening were lower for Black versus White women (odds ratio, 0.59 [95% CI, 0.44 to 0.80];

conclusionIn this diverse cohort, disparities in timely diagnostic follow-up after abnormal breast screening were observed, with Black women waiting 1.75 times as long as White women to obtain a tissue diagnosis. National guidelines for time to diagnostic follow-up may facilitate more timely breast cancer care and potentially affect outcomes.

Indexed as

Breast NeoplasmsHealthcare DisparitiesMammographyAgedBlack or African AmericanEarly Detection of CancerFemaleFollow-Up StudiesHumansMiddle AgedWhite

Identifiers

PMID38900977
PMCPMC11473231

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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.