Evidence map›Paper›PMID 41193221›Full record

ArticleBMJ (Clinical research ed.)2025

Provider billing margin and cancer treatment selection: population based cohort study.

Aaron P Mitchell, Stacie B Dusetzina, Akriti Mishra Meza, Grace Gallagher, Patrick Augello, Hannah Fuchs, Gabrielle Guzman, Abdullah Abdelaziz, Sara Tabatabai, Sonia Persaud and 6 more

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

16 authors.

Aaron P MitchellDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA mitchea2@mskcc.org.ORCID 0000-0003-3639-3515
Stacie B DusetzinaDepartment of Health Policy and Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-3907-9196
Akriti Mishra MezaDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-3477-5037
Grace GallagherDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0009-0004-9277-5002
Patrick AugelloDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Hannah FuchsDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0003-2426-0096
Gabrielle GuzmanDepartment of Finance, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Abdullah AbdelazizUniversity of Illinois Chicago, Chicago, IL, USA.ORCID 0000-0002-5039-4322
Sara TabatabaiDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-5498-7176
Sonia PersaudDepartment of Health Policy and Management, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0009-0008-5666-7994
Nirjhar ChakrabortyDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0009-0003-8104-4311
Victoria S BlinderDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-1448-8671
Andrew S EpsteinDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0003-1808-3070
Bobby DalyDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0001-6573-7650
Aaron N WinnUniversity of Illinois Chicago, Chicago, IL, USA.ORCID 0000-0003-2906-3913
Mithat GönenDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.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 P30 CA008748
6 · The paper itself

Abstract

objectiveTo estimate the association between the billing (profit) margin and clinical benefit of cancer treatments and use by oncologists.

designRetrospective population based cohort study

settingPopulation based sample using fee-for-service Medicare claims data.

participantsMedicare beneficiaries with an incident cancer diagnosis from 2015 to 2020; included all patients with cancer treatment indications for which the available treatment options varied in clinical benefit and billing margin. MAIN OUTCOMES AND MEASURES: The primary outcome was the cancer treatment each patient received among treatment options recommended by the National Comprehensive Cancer Network (NCCN). The characteristics of interest were provider billing margin (defined at the patient treatment level, using Medicare reimbursement rates corresponding to the patient's diagnosis date) and a proxy measure of clinical benefit (rank order of treatments based on Evidence Blocks scores developed by the NCCN, corresponding to the patient's diagnosis date). The association between treatment received, billing margin, and clinical benefit was modeled using a conditional logit model with inverse probability-of-treatment weights applied at the patient treatment level to control for patient and provider characteristics.

resultsTwelve cancer indications were examined comprising 19 397 individual patients. Provider billing margin ranged from $0 to $12 692 (£9440; €10 800) for each course of treatment. No association was found between a $100 increase in provider billing margin and the likelihood of treatment use (odds ratio 0.97, 95% confidence interval 0.91 to 1.03). Higher clinical benefit was associated with greater treatment use (1.62, 1.15 to 2.29).

conclusionsIn this observational study of Medicare beneficiaries, selection of cancer treatments was associated with the treatment's clinical benefit but not billing margin. Therefore, it is unlikely that policy and price changes that affect the billing margin of cancer treatments would shift patterns of use.

Indexed as

Fee-for-Service PlansMedicareNeoplasmsAgedAged, 80 and overFemaleHumansMaleRetrospective StudiesUnited States

Identifiers

PMID41193221
PMCPMC12587264

What OpenQuestion holds

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LicenceCC BY-NC
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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.