Evidence map›Paper›PMID 31568536›Full record

ArticlePloS one2019

Intensity modulated radiation therapy following lumpectomy in early-stage breast cancer: Patterns of use and cost consequences among Medicare beneficiaries.

Lia M Halasz, Shilpen A Patel, Jean A McDougall, Catherine Fedorenko, Qin Sun, Bernardo H L Goulart, Joshua A Roth

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.7field-weighted citation impact, top 7% of its field
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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Choosing Wisely recommendations in oncology: a scoping review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

7 authors at 4 institutions in 1 country.

Lia M HalaszDepartment of Radiation Oncology, University of Washington, Seattle, Washington, United States of America.
Shilpen A PatelDepartment of Radiation Oncology, University of Washington, Seattle, Washington, United States of America.
Jean A McDougallDepartment of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, United States of America.
Catherine FedorenkoHutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Qin SunHutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Bernardo H L GoulartDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Joshua A RothDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.ORCID 0000-0001-6621-8342
Fred Hutch Cancer Center · USUniversity of Washington · USUniversity of New Mexico · USUniversity of Washington Medical Center · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian Esvelt · 1985 to 2026
$296.4M
NCI NIH HHS P30 CA015704
6 · The paper itself

Abstract

purposeIn 2013, the American Society for Radiation Oncology (ASTRO) issued a Choosing Wisely recommendation against the routine use of intensity modulated radiotherapy (IMRT) for whole breast irradiation. We evaluated IMRT use and subsequent impact on Medicare expenditure in the period immediately preceding this recommendation to provide a baseline measure of IMRT use and associated cost consequences. METHODS AND MATERIALS: SEER records for women ≥66 years with first primary diagnosis of Stage I/II breast cancer (2008-2011) were linked with Medicare claims (2007-2012). Eligibility criteria included lumpectomy within 6 months of diagnosis and radiotherapy within 6 months of lumpectomy. We evaluated IMRT versus conventional radiotherapy (cRT) use overall and by SEER registry (12 sites). We used generalized estimating equations logit models to explore adjusted odds ratios (OR) for associations between clinical, sociodemographic, and health services characteristics and IMRT use. Mean costs were calculated from Medicare allowable costs in the year after diagnosis.

resultsAmong 13,037 women, mean age was 74.4, 50.5% had left-sided breast cancer, and 19.8% received IMRT. IMRT use varied from 0% to 52% across SEER registries. In multivariable analysis, left-sided breast cancer (OR 1.75), living in a big metropolitan area (OR 2.39), living in a census tract with ≤$90,000 median income (OR 1.75), neutral or favorable local coverage determination (OR 3.86, 1.72, respectively), and free-standing treatment facility (OR 3.49) were associated with receipt of IMRT (p<0.001). Mean expenditure in the year after diagnosis was $8,499 greater (p<0.001) among women receiving IMRT versus cRT.

conclusionWe found highly variable use of IMRT and higher expenditure in the year after diagnosis among women treated with IMRT (vs. cRT) with early-stage breast cancer and Medicare insurance. Our findings suggest a considerable opportunity to reduce treatment variation and cost of care while improving alignment between practice and clinical guidelines.

Indexed as

AgedAged, 80 and overBreast NeoplasmsFees and ChargesFemaleHealth Care CostsHumansMastectomy, SegmentalMedicareNeoplasm StagingPractice Guidelines as TopicRadiotherapy, Intensity-ModulatedSEER ProgramUnilateral Breast NeoplasmsUnited States

Identifiers

PMID31568536
PMCPMC6768446
OpenAlexW2978515564

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.