Evidence map›Paper›PMID 42440324›Full record

ArticleJAMA internal medicine2026

Quality, Cost, and Timeliness of Cancer Treatment in Medicare Advantage and Traditional Medicare.

Aaron P Mitchell, Stacie B Dusetzina, Akriti Mishra Meza, Grace Gallagher, Patrick Augello, Hannah Fuchs, Gabrielle Guzman, Abdullah Abdelaziz, Sara Tabatabai, Sonia Persaud and 8 more

Abstract read
In one paragraph

Article in JAMA internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Aaron P MitchellDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Stacie B DusetzinaDepartment of Health Policy and Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
Akriti Mishra MezaDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Grace GallagherDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Patrick AugelloDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Hannah FuchsDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Gabrielle GuzmanDepartment of Finance, Memorial Sloan Kettering Cancer Center, New York, New York.
Abdullah AbdelazizDepartment of Pharmacy Systems Outcomes and Policy, Retzky College of Pharmacy, University of Illinois Chicago, Chicago.
Sara TabatabaiDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Sonia PersaudDepartment of Health Policy and Management, University of Pittsburgh, Pittsburgh, Pennsylvania.
Nirjhar ChakrabortyDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Victoria S BlinderDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Andrew S EpsteinDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Bobby DalyDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
William A WoodDepartment of Medicine, University of North Carolina at Chapel Hill, Chapel Hill.
Aaron N WinnDepartment of Pharmacy Systems Outcomes and Policy, Retzky College of Pharmacy, University of Illinois Chicago, Chicago.
Mithat GönenDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Jeah JungDepartment of Health Administration and Policy, College of Public Health, George Mason University, Fairfax, Virginia.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI FRANCESCA M GANY · 1985 to 2026
$347.4M
Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Ben Ho Park · 1995 to 2026
$172.8M
Resource Use and Quality of Care in Medicare AdvantageR01AG069352 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI JUNG, JEAH · 2020 to 2023
$2.7M
NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA068485NIA NIH HHS R01 AG069352
6 · The paper itself

Abstract

Importance: Use of Medicare Advantage (MA) insurance has been associated with lower cancer treatment costs than traditional Medicare (TM). Whether there are differences in guideline-concordant care or treatment costs for beneficiaries insured under MA vs TM is unknown. Objective: To assess whether Medicare insurance type is associated with receipt of optimal cancer treatment and costs. Design, Setting, and Participants: Retrospective cohort study of a population-based sample using Medicare claims and encounter data from 2015 through 2019. Participants were Medicare beneficiaries with continuous enrollment in either MA or TM and an incident cancer diagnosis from 2016 through 2019. Included patients were those with cancer treatment scenarios (eg, metastatic melanoma, adjuvant therapy for stage III colon cancer) that had substantial variation in the costs of recommended treatment options. Data were analyzed from April 2025 to March 2026. Exposures: Medicare insurance type of MA or TM. Main Outcomes and Measures: The pharmacologic cancer treatment among the available options each patient initiated was analyzed using Medicare data. Each patient's treatment was linked by diagnosis date to contemporary National Comprehensive Cancer Network Guidelines recommendations and Medicare reimbursement rates to ascertain the coprimary outcomes whether a patient received the optimal treatment for their cancer type and the anticipated cost of the initiated treatment. The association of outcomes with insurance type was accessed using generalized estimating equations to estimate risk ratios (RRs) after balancing patient characteristics through inverse probability-of-treatment weighting. Models were clustered at the physician level and adjusted for scenario, diagnosis year, scenario × diagnosis year interaction, and oncologist characteristics. Results: Of 35 245 patients (median age, 74 [IQR 70-79] years; 63.2% male), 24 269 had TM and 10 976 had MA. The median time to treatment initiation was 36 (IQR, 20-60) days for MA vs 35 (IQR, 19-59) days for TM. The unadjusted mean (SD) treatment cost was $29 252 ($80 391) for MA vs $40 874 ($106 205) for TM. MA beneficiaries had a likelihood of optimal treatment similar to TM beneficiaries (adjusted RR, 0.99; 95% CI, 0.97-1.02), and MA was associated with lower treatment cost (adjusted cost ratio, 0.94; 95% CI, 0.91- 0.97). Mean savings within this patient cohort was -$931 (95% CI, -$1244 to -$615). Conclusions and Relevance: In this cohort study of Medicare beneficiaries with cancer, MA beneficiaries had lower estimated treatment costs and similar likelihood of receiving optimal treatment compared with TM beneficiaries.

Indexed as

Health Care CostsMedicareMedicare Part CNeoplasmsQuality of Health CareAgedAged, 80 and overFemaleHumansMaleRetrospective StudiesTreatment DelayUnited States

Identifiers

PMID42440324
PMCPMC13366253

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.