Evidence map›Paper›PMID 42201732›Full record

ArticleJAMA network open2026

Medicare Insurance Type and Broad Genomic Profiling in Metastatic Cancer.

Ryan D Chow, John Rothen, Jessica B Long, Pamela R Soulos, Xiao Wang, Ronac Mamtani, Shuangge Ma, Natalia Kunst, Michaela A Dinan, Cary P Gross

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

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.

Ryan D ChowDivision of Hematology-Oncology, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
John RothenYale Cancer Outcomes, Public Policy, and Effectiveness Research Center, Yale Cancer Center, New Haven, Connecticut.
Jessica B LongYale Cancer Outcomes, Public Policy, and Effectiveness Research Center, Yale Cancer Center, New Haven, Connecticut.
Pamela R SoulosYale Cancer Outcomes, Public Policy, and Effectiveness Research Center, Yale Cancer Center, New Haven, Connecticut.
Xiao WangYale Cancer Outcomes, Public Policy, and Effectiveness Research Center, Yale Cancer Center, New Haven, Connecticut.
Ronac MamtaniDivision of Hematology-Oncology, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
Shuangge MaDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut.
Natalia KunstYale Cancer Outcomes, Public Policy, and Effectiveness Research Center, Yale Cancer Center, New Haven, Connecticut.
Michaela A DinanYale Cancer Outcomes, Public Policy, and Effectiveness Research Center, Yale Cancer Center, New Haven, Connecticut.
Cary P GrossYale Cancer Outcomes, Public Policy, and Effectiveness Research Center, Yale Cancer Center, New Haven, Connecticut.

Funding

Broad Genomic Profiling in patients with advanced lung cancer: empirically assessing adoption, clinical utility, and the value of additional evidence in an evolving landscape of cancer careR01CA280359 · NCI · YALE UNIVERSITY · PI DINAN, MICHAELA ANN, GROSS, CARY P. · 2023 to 2025
$2.0M
NCI NIH HHS R01 CA280359
6 · The paper itself

Abstract

Importance: Broad genomic profiling (BGP) is recommended for several types of metastatic cancer but remains underused. Over half of Medicare beneficiaries are enrolled in Medicare Advantage (MA), where cost-containment strategies may limit access to BGP. Whether Medicare payer type and geographic region are associated with BGP use is not well established. Objectives: To evaluate whether BGP use differs by Medicare payer type (MA vs fee-for-service Medicare [FFS]) and to characterize geographic variation in BGP use across hospital referral regions (HRRs). Design, Setting, and Participants: This nationwide retrospective cohort study used Medicare Chronic Conditions Data Warehouse claims and service records to identify beneficiaries aged 66 years or older with a new diagnosis of metastatic cancer, including bladder, breast, colorectal, endometrial, kidney, lung, melanoma, pancreatic, prostate, or thyroid, from January 1, 2020, to June 30, 2022. Data analysis was conducted from October 2024 to March 2026. Exposures: Medicare type (FFS vs MA) and HRR. Main Outcomes and Measures: The primary outcome was receipt of BGP within 2 months before through 6 months after diagnosis. Mixed-effects logistic regression models were used to estimate adjusted odds ratios (AORs) for the association between Medicare type and BGP use, controlling for demographic, clinical, and geographic factors. HRR-level variation was summarized using the median odds ratio (MOR). Subgroup analyses stratified cancers by the strength of guideline recommendations for BGP. Results: Of 254 720 Medicare beneficiaries with metastatic cancer (median age, 74 years [IQR, 70-79 years]; 141 964 female [55.7%]), 112 637 (44.2%) were enrolled in MA and 142 083 (55.8%) in FFS. Overall, 64 351 (25.3%) received BGP. FFS beneficiaries had higher BGP use than MA beneficiaries (36 633 of 142 083 [25.8%] vs 27 718 of 112 637 [24.6%]; AOR, 1.08 [95% CI, 1.06-1.10]). BGP use was more frequent among FFS vs MA beneficiaries for cancers with equivocal BGP recommendations (AOR, 1.15 [95% CI, 1.11-1.19]) and, to a lesser extent, cancers with explicit recommendations (AOR, 1.04 [95% CI, 1.02-1.07]). Adjusted BGP use varied widely across HRRs (range, 13.8%-35.9%; median, 24.5% [IQR, 21.8%-27.6%]; MOR, 1.28 [95% CI, 1.25-1.31]). Conclusions and Relevance: In this cohort study of Medicare beneficiaries with metastatic cancer, BGP use differed by Medicare payer type and showed substantial regional variation. These findings highlight opportunities to improve guideline-concordant molecular testing.

Indexed as

GenomicsMedicareMedicare Part CNeoplasm MetastasisNeoplasmsAgedAged, 80 and overFee-for-Service PlansFemaleHumansMaleRetrospective StudiesUnited States

Identifiers

PMID42201732
PMCPMC13216988

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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.