Evidence map›Paper›PMID 37114585›Full record

ArticleCancer medicine2023

Demographic disparities in receipt of care at a comprehensive cancer center.

Kedar Kirtane, Yayi Zhao, Rossybelle P Amorrortu, Lindsay N Fuzzell, Susan T Vadaparampil, Dana E Rollison

Abstract readComparative Study
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. A Novel Approach for Conducting a Catchment Area Analysis of Breast Cancer by Age and Stage for a Community Cancer Center.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  6. Article
  7. Article
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

6 authors.

Kedar KirtaneDepartment of Head and Neck-Endocrine Oncology, Moffitt Cancer Center, Tampa, Florida, USA.ORCID 0000-0003-1302-9577
Yayi ZhaoDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA.ORCID 0000-0003-0806-823X
Rossybelle P AmorrortuDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA.ORCID 0000-0001-6851-0179
Lindsay N FuzzellDepartment of Health Outcomes & Behavior, Moffitt Cancer Center, Tampa, Florida, USA.ORCID 0000-0001-9688-5365
Susan T VadaparampilOffice of Community Outreach, Engagement, and Equity, Moffitt Cancer Center, Tampa, Florida, USA.ORCID 0000-0002-1052-6917
Dana E RollisonDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA.ORCID 0000-0002-3171-8045

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI John L. Cleveland · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

backgroundNational Cancer Institute cancer centers (NCICCs) provide specialized cancer care including precision oncology and clinical treatment trials. While these centers can offer novel therapeutic options, less is known about when patients access these centers or at what timepoint in their disease course they receive specialized care. This is especially important since precision diagnostics and receipt of the optimal therapy upfront can impact patient outcomes and previous research suggests that access to these centers may vary by demographic characteristics. Here, we examine the timing of patients' presentation at Moffitt Cancer Center (MCC) relative to their initial diagnosis across several demographic characteristics.

methodsA retrospective cohort study was conducted among patients who presented to MCC with breast, colon, lung, melanoma, and prostate cancers between December 2008 and April 2020. Patient demographic and clinical characteristics were obtained from the Moffitt Cancer Registry. The association between patient characteristics and the timing of patient presentation to MCC relative to the patient's cancer diagnosis was examined using logistic regression.

resultsBlack patients (median days = 510) had a longer time between diagnosis and presentation to MCC compared to Whites (median days = 368). Black patients were also more likely to have received their initial cancer care outside of MCC compared to White patients (odds ratio [OR] and 95% confidence interval [CI] = 1.45 [1.32-1.60]). Furthermore, Hispanics were more likely to present to MCC at an advanced stage compared to non-Hispanic patients (OR [95% CI] = 1.28 [1.05-1.55]).

conclusionsWe observed racial and ethnic differences in timing of receipt of care at MCC. Future studies should aim to identify contributing factors for the development of novel mitigation strategies and assess whether timing differences in referral to an NCICC correlate with long-term patient outcomes.

Indexed as

Cancer Care FacilitiesHealthcare DisparitiesPrecision MedicineBlack or African AmericanDemographyHispanic or LatinoHumansNational Cancer Institute (U.S.)Prostatic NeoplasmsRetrospective StudiesTime-to-TreatmentUnited StatesWhitecancer careepidemiologyhealthcare disparitiesNational Cancer Institute cancer centerpatient care/delivery of health care

Identifiers

PMID37114585
PMCPMC10315757

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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.