Evidence map›Paper›PMID 37095707›Full record

ArticleJournal of surgical oncology2023

Identifying patient profiles of disparate care in resectable pancreas cancer using latent class analysis.

Ugwuji N Maduekwe, Briana J K Stephenson, Jen Jen Yeh, Melissa A Troester, Hanna K Sanoff

Abstract read
In one paragraph

Article in Journal of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Ugwuji N MaduekweDepartment of Surgery, Division of Surgical Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.ORCID http://orcid.org/0000-0002-1246-3235
Briana J K StephensonDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Jen Jen YehDepartment of Surgery, Division of Surgical Oncology & Endocrine Surgery, University of North Carolina, Chapel Hill, North Carolina, USA.
Melissa A TroesterDepartment of Epidemiology, Gillings School of Public Health, Chapel Hill, North Carolina, USA.
Hanna K SanoffUNC Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina, USA.

Funding

SToP Cancer SPORE: Developmental Research ProgramP50CA257911 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Alina Iuga · 2022 to 2026
$12.9M
UNC Oncology K12K12CA120780 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WILLIAM Y. KIM · 2007 to 2026
$9.6M
NCI NIH HHS K12 CA120780NCI NIH HHS P50 CA257911UNC Oncology Clinical Translational Research Training Program K12CA120780
6 · The paper itself

Abstract

BACKGROUND AND

objectivesDisparities in pancreas cancer care are multifactorial, but factors are often examined in isolation. Research that integrates these factors in a single conceptual framework is lacking. We use latent class analysis (LCA) to evaluate the association between intersectionality and patterns of care and survival in patients with resectable pancreas cancer.

methodsLCA was used to identify demographic profiles in resectable pancreas cancer (n = 140 344) diagnosed from 2004 to 2019 in the National Cancer Database (NCDB). LCA-derived patient profiles were used to identify differences in receipt of minimum expected treatment (definitive surgery), optimal treatment (definitive surgery and chemotherapy), time to treatment, and overall survival.

resultsMinimum expected treatment (hazard ratio [HR] 0.69, 95% confidence interval [CI]: 0.65, 0.75) and optimal treatment (HR 0.58, 95% CI: 0.55, 0.62) were associated with improved overall survival. Seven latent classes were identified based on age, race/ethnicity, and socioeconomic status (SES) attributes (zip code-linked education and income, insurance, geography). Compared to the referent group (≥65 years + White + med/high SES), the ≥65 years + Black profile had the longest time-to-treatment (24 days vs. 28 days) and lowest odds of receiving minimum (odds ratio [OR] 0.67, 95% CI: 0.64, 0.71) or optimal treatment (OR 0.76, 95% CI: 0.72, 0.81). The Hispanic patient profile had the lowest median overall survival-55.3 months versus 67.5 months.

conclusionsAccounting for intersectionality in the NCDB resectable pancreatic cancer patient cohort identifies subgroups at higher risk for inequities in care. LCA demonstrates that older Black patients and Hispanic patients are at particular risk for being underserved and should be prioritiz for directed interventions.

Indexed as

Healthcare DisparitiesPancreatic NeoplasmsAgedAge FactorsBlack or African AmericanEthnicityHispanic or LatinoHumansIntersectional FrameworkLatent Class AnalysisRace FactorsSocial ClassSocioeconomic FactorsWhite Peoplehealthcare disparitylatent class analysispancreas cancersocioeconomic status

Identifiers

PMID37095707
PMCPMC13201060

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