Evidence map›Paper›PMID 39393041›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2025

Quality of Treatment Selection for Medicare Beneficiaries With Cancer.

Aaron P Mitchell, Sonia Persaud, Akriti Mishra Meza, Hannah E Fuchs, Prabal De, Sara Tabatabai, Nirjhar Chakraborty, Pranam Dey, Niti U Trivedi, Sham Mailankody and 7 more

Abstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

17 authors.

Aaron P MitchellDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-3639-3515
Sonia PersaudDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0009-0008-5666-7994
Akriti Mishra MezaDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-3477-5037
Hannah E FuchsDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-2426-0096
Prabal DeDepartment of Economics and Business, City College of New York, New York, NY.ORCID 0000-0002-0043-3207
Sara TabatabaiDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-5498-7176
Nirjhar ChakrabortyDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0009-0003-8104-4311
Pranam DeyYale University School of Medicine, New Haven, CT.
Niti U TrivediDelfi Diagnostics, Baltimore, MD.
Sham MailankodyDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-2815-9561
Victoria BlinderDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-1448-8671
Angela GreenDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Andrew S EpsteinDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-1808-3070
Bobby DalyDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0001-6573-7650
Lindsey RoekerDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Peter B BachDelfi Diagnostics, Baltimore, MD.ORCID 0000-0001-5175-402X
Mithat GönenDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0001-8683-8477

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS HHSN261201800009CNCI NIH HHS HHSN261201800009INCI NIH HHS HHSN261201800015CNCI NIH HHS HHSN261201800015INCI NIH HHS HHSN261201800032CNCI NIH HHS HHSN261201800032INCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

purposeThe Medicare part D Low-Income Subsidy (LIS) improves access to oral cancer drugs, but provides no assistance for clinician-administered/part B drugs. This analysis assessed the association between LIS participation and receipt of optimal cancer treatment.

methodsWe investigated initial systemic therapy using SEER-Medicare data (2015-2017) and National Comprehensive Cancer Network (NCCN) Evidence Blocks (EB) as the standard for treatment recommendations. We included cancer clinical scenarios wherein (1) ≥one treatment was optimal (higher efficacy and safety scores) versus other treatments; (2) identifiable in SEER-Medicare (eg, not defined by clinical data unavailable in registry data or claims); and (3) both EB and ASCO Value Framework agreed regarding optimal treatment. We fit logistic regression models to assess the association between receipt of systemic therapy (

resultsNine thousand two hundred and ninety patients were included across 11 clinical scenarios. Fifty-seven percent (5,336) of patients received any systemic therapy and 43% (3,954) received no systemic therapy. Compared with non-LIS participants, LIS participants were less likely to receive any systemic therapy versus no systemic therapy (odds ratio, 0.64 [95% CI, 0.57 to 0.72]). Contingent on receiving systemic therapy, LIS participants received treatment ranked within the worst quartile 24.8% of the time, compared with 21.9% of non-LIS patients (adjusted prevalence difference, 4.3% [95% CI, 0.5 to 8.2]).

conclusionLIS participants were less likely to receive systemic therapy at all and were more likely to receive treatments that receive low NCCN EB scores.

Indexed as

Medicare Part DNeoplasmsAgedAged, 80 and overFemaleHumansMaleSEER ProgramUnited States

Identifiers

PMID39393041
PMCPMC12178663

What OpenQuestion holds

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Registered trials

None linked

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.