Evidence map›Paper›PMID 40378343›Full record

ArticleBlood advances2025

Inequalities in CAR T-cell therapy access for US patients with relapsed/refractory DLBCL: a SEER-Medicare data analysis.

Andrea P Chung, Jason T Shafrin, Sachin Vadgama, Kristen Hurley, Miguel-Angel Perales, Leonard C Alsfeld, Sanjana Muthukrishnan, Anik R Patel, Gunjan L Shah, Richard T Maziarz

Abstract read
In one paragraph

Article in Blood advances, 2025. 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

10 authors.

Andrea P ChungCenter for Healthcare Economics and Policy, FTI Consulting, Inc, Washington, DC.ORCID 0009-0003-3722-4593
Jason T ShafrinCenter for Healthcare Economics and Policy, FTI Consulting, Inc, Los Angeles, CA.ORCID 0000-0001-8444-5979
Sachin VadgamaGilead Sciences Europe Limited, HEOR Center of Excellence, Uxbridge, Middlesex, UK.ORCID 0000-0002-9138-8471
Kristen HurleyUS Medical Affairs, Kite, a Gilead Company, Santa Monica, CA.
Miguel-Angel PeralesDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-5910-4571
Leonard C AlsfeldOchsner Health, New Orleans, LA.
Sanjana MuthukrishnanCenter for Healthcare Economics and Policy, FTI Consulting, Inc, Washington, DC.ORCID 0009-0008-9348-5778
Anik R PatelDepartment of Health Economics Research, RainCity Analytics, Vancouver, British Columbia.
Gunjan L ShahDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-9977-0456
Richard T MaziarzKnight Cancer Institute, Oregon Health & Science University, Portland, OR.ORCID 0000-0002-8184-7099

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

abstractChimeric antigen receptor (CAR) T-cell (CAR-T) therapy has shown curative potential for patients with diffuse large B-cell lymphoma (DLBCL) and other malignancies, but its accessibility among Medicare patients, particularly in disadvantaged populations, remains uncertain. This study aims to assess CAR-T use among Medicare patients with DLBCL receiving third-line or later (3L+) treatment, focusing on access disparities and their impact on clinical outcomes. Using Surveillance, Epidemiology, and End Results (SEER)-Medicare data from 2007 to 2020, multivariate logistic regression was used to evaluate patient characteristics and the effects of distance to authorized treatment centers (ATCs) on CAR-T access. Between 2017 and 2020, 2241 patients were treated for 3L+ DLBCL in the SEER-Medicare data, of whom 122 (5.4%) received CAR-Ts. CAR-T recipients were less likely to have multiple comorbidities (odds ratio [OR], 0.904; P = .001) but more likely to live in higher income areas (OR, 1.176; P = .004). If distance to the nearest ATC for "poor-access" states (average distance to ATC, 104.4 miles) decreased to the average distance in "better-access" states (34.2 miles), there would be a 37.6% increase in number of patients receiving CAR-Ts (6.6%-9.1%; P < .001). These findings highlight substantial disparities in CAR-T use, driven by geographic and socioeconomic factors. Addressing these barriers could significantly enhance equitable access to CAR-T therapy and improve outcomes for underserved populations, emphasizing the need for targeted interventions to reduce geographic and systemic barriers to care.

Indexed as

Healthcare DisparitiesHealth Services AccessibilityImmunotherapy, AdoptiveLymphoma, Large B-Cell, DiffuseAgedAged, 80 and overFemaleHumansMaleMedicareSEER ProgramSocioeconomic FactorsUnited States

Identifiers

PMID40378343
PMCPMC12466227

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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.