Evidence map›Paper›PMID 41426309›Full record

ArticleFrontiers in oncology2025

Patterns of care in pancreatic cancer radiotherapy: impact of facility volume on outcomes.

Arvind Rajan, Elizabeth M Gleeson, Veronica Pham, Karyn A Goodman

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. 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

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

4 authors.

Arvind RajanDepartment of Surgery, University of North Carolina School of Medicine, Chapel Hill, NC, United States.
Elizabeth M GleesonDepartment of Surgery, University of North Carolina School of Medicine, Chapel Hill, NC, United States.
Veronica PhamDepartment of Surgery, University of North Carolina School of Medicine, Chapel Hill, NC, United States.
Karyn A GoodmanDepartment of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Funding

SHORT-TERM RESEARCH TRAININGT35DK007386 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Evan Samuel Dellon · 1986 to 2026
$4.1M
NIDDK NIH HHS T35 DK007386
6 · The paper itself

Abstract

Objectives: Radiotherapy (RT), particularly stereotactic body radiotherapy (SBRT), is a promising treatment for borderline resectable or locally advanced pancreatic cancer (PC). This study evaluated the association of RT facility volume with overall survival (OS) and examined patterns of care for patients with PC. Methods: A retrospective cohort study using National Cancer Database (NCDB) data (2004-2019) included 17,053 PC patients treated with RT, excluding those with metastatic or stage IV disease. RT facility volumes were categorized as low- (<10 cases/year), intermediate- (10-20 cases/year), and high-volume (>20 cases/year). Predictors of OS, including facility volume, RT type, and patient/treatment factors, were evaluated. Results: Among 17,053 patients (median age 67 years, 51.4% male), 17.6% received SBRT, and 27.1% were treated at high-volume centers. Treatment at high-volume centers (HR 0.863, p<0.001) and receiving SBRT (HR 0.869, p<0.001) were associated with improved OS. SBRT use increased from 8.5% (2004-2011) to 30% (2016-2019). Conclusion: High-volume RT centers are associated with significantly better survival outcomes in PC patients, particularly those receiving SBRT. These findings emphasize the need to expand access to high-volume centers and develop standardized treatment protocols to improve care and outcomes for all patients.

Indexed as

facility volumeoverall survival (OS)pancreatic cancerradiotherapystereotactic body radiotherapy (SBRT)

Identifiers

PMID41426309
PMCPMC12714612

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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.