Evidence map›Paper›PMID 37060065›Full record

ArticleInternational journal for equity in health2023

Exploring the complexity and spectrum of racial/ethnic disparities in colon cancer management.

Anya L Greenberg, Nathan R Brand, Alan Zambeli-Ljepović, Katherine E Barnes, Sy Han Chiou, Kim F Rhoads, Mohamed A Adam, Ankit Sarin

Abstract read
In one paragraph

Article in International journal for equity in health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

8 authors.

Anya L GreenbergDepartment of Surgery, University of California San Francisco, 550 16Th Street, 6Th Floor, San Francisco, CA, 94158, USA.
Nathan R BrandDepartment of Surgery, University of California San Francisco, 550 16Th Street, 6Th Floor, San Francisco, CA, 94158, USA.
Alan Zambeli-LjepovićDepartment of Surgery, University of California San Francisco, 550 16Th Street, 6Th Floor, San Francisco, CA, 94158, USA.
Katherine E BarnesDepartment of Surgery, University of California San Francisco, 550 16Th Street, 6Th Floor, San Francisco, CA, 94158, USA.
Sy Han ChiouDepartment of Surgery, University of California San Francisco, 550 16Th Street, 6Th Floor, San Francisco, CA, 94158, USA.
Kim F RhoadsHelen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.
Mohamed A AdamDepartment of Surgery, University of California San Francisco, 550 16Th Street, 6Th Floor, San Francisco, CA, 94158, USA.
Ankit SarinDepartment of Surgery, University of California San Francisco, 550 16Th Street, 6Th Floor, San Francisco, CA, 94158, USA. axsarin@ucdavis.edu.

Funding

Surgical Oncology Training GrantT32CA251070 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ESSERMAN, LAURA J · 2020 to 2024
$1.5M
NCI NIH HHS T32 CA251070
6 · The paper itself

Abstract

backgroundColorectal cancer is a leading cause of morbidity and mortality across U.S. racial/ethnic groups. Existing studies often focus on a particular race/ethnicity or single domain within the care continuum. Granular exploration of disparities among different racial/ethnic groups across the entire colon cancer care continuum is needed. We aimed to characterize differences in colon cancer outcomes by race/ethnicity across each stage of the care continuum.

methodsWe used the 2010-2017 National Cancer Database to examine differences in outcomes by race/ethnicity across six domains: clinical stage at presentation; timing of surgery; access to minimally invasive surgery; post-operative outcomes; utilization of chemotherapy; and cumulative incidence of death. Analysis was via multivariable logistic or median regression, with select demographics, hospital factors, and treatment details as covariates.

results326,003 patients (49.6% female, 24.0% non-White, including 12.7% Black, 6.1% Hispanic/Spanish, 1.3% East Asian, 0.9% Southeast Asian, 0.4% South Asian, 0.3% AIAE, and 0.2% NHOPI) met inclusion criteria. Relative to non-Hispanic White patients: Southeast Asian (OR 1.39, p < 0.01), Hispanic/Spanish (OR 1.11 p < 0.01), and Black (OR 1.09, p < 0.01) patients had increased odds of presenting with advanced clinical stage. Southeast Asian (OR 1.37, p < 0.01), East Asian (OR 1.27, p = 0.05), Hispanic/Spanish (OR 1.05 p = 0.02), and Black (OR 1.05, p < 0.01) patients had increased odds of advanced pathologic stage. Black patients had increased odds of experiencing a surgical delay (OR 1.33, p < 0.01); receiving non-robotic surgery (OR 1.12, p < 0.01); having post-surgical complications (OR 1.29, p < 0.01); initiating chemotherapy more than 90 days post-surgery (OR 1.24, p < 0.01); and omitting chemotherapy altogether (OR 1.12, p = 0.05). Black patients had significantly higher cumulative incidence of death at every pathologic stage relative to non-Hispanic White patients when adjusting for non-modifiable patient factors (p < 0.05, all stages), but these differences were no longer statistically significant when also adjusting for modifiable factors such as insurance status and income.

conclusionsNon-White patients disproportionately experience advanced stage at presentation. Disparities for Black patients are seen across the entire colon cancer care continuum. Targeted interventions may be appropriate for some groups; however, major system-level transformation is needed to address disparities experienced by Black patients.

Indexed as

Colonic NeoplasmsEthnicityHealthcare DisparitiesHealth Services AccessibilityRacial GroupsAmerican Indian or Alaska NativeAsianBlack or African AmericanDatabases, FactualEast Asian PeopleFemaleHispanic or LatinoHumansMaleNative Hawaiian or Pacific IslanderRace FactorsColon cancerColorectal surgeryHealthcare accessRacial disparities

Identifiers

PMID37060065
PMCPMC10105474

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Registered trials

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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.