Evidence map›Paper›PMID 40963747›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Cancer Survival at a Comprehensive Cancer Center Compared with Surveillance, Epidemiology, and End Results (SEER) Estimates.

Ravi Salgia, Joseph Alvarnas, Vijay Trisal, Ann Vanderplas, Xiaochen Li, Javier Arias-Romero, Jeremy Fricke, Paul Frankel, Isa Mambetsariev, Hannah Rice and 2 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

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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

12 authors.

Joseph Alvarnas
Vijay Trisal
Ann Vanderplas
Xiaochen Li
Javier Arias-Romero
Jeremy Fricke
Paul Frankel
Hannah Rice
Harlan Levine
Marcel R M van den Brink

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cancer Centers offer a comprehensive approach to cancer prevention, diagnosis, and treatment through tertiary services and by providing coordinated, personalized care. We investigated whether this approach results in significantly better patient outcomes at an NCI-designated Comprehensive Cancer Center (NCI-CCC), City of Hope (COH), versus the U.S. Surveillance, Epidemiology, and End Results (SEER) national database. Methods: Patient-level data were abstracted from the COH Cancer Registry and SEER*Stat software, respectively. The cohort included patients diagnosed with incident cancer from 2004 to 2020. Overall survival was analyzed using multivariable Cox proportional hazards models. To reduce confounding from baseline differences, propensity score matching (PSM) methods were employed in a 1:5 ratio between COH and SEER, respectively, using age group at diagnosis category, gender, race, ethnicity, stage (for solid tumors), and diagnosis year. Findings: Patients treated at COH had significantly superior overall survival (OS) compared with those in the SEER cohort across all examined cancer types after multivariable adjustment for key baseline characteristics and in the PSM analyses. Median OS (when reached) was uniformly longer in the COH cohort compared with the SEER cohort in the full population adjusted model and in the PSM analyses. For the PSM analyses: non-small cell lung cancer (NSCLC) hazard ratio (HR) 0.73 (95% confidence interval [CI]: 0.70-0.76), breast cancer HR 0.83 (95% CI: 0.78-0.86), prostate cancer HR 0.62 (95% CI: 0.58-0.65), colorectal cancer HR 0.74 (95% CI: 0.69-0.79), pancreatic cancer HR 0.75 (95% CI: 0.70-0.81), acute myeloid leukemia HR 0.79 (95% CI: 0.75-0.84), acute lymphoid leukemia HR 0.7 (95% CI: 0.69-0.87), and multiple myeloma HR 0.70 (95% CI: 0.66-0.76) (all Conclusions: Our results revealed patient care at an individual NCI-CCC employing state-of-the-art therapies and modern care is associated with survival benefits for cancer patients. Patients had significantly superior OS in the COH cohort compared with the SEER cohort for most of the analyzed solid tumors assessed for each stage (I-IV) and for 3 major hematologic malignancies assessed by age group.Until randomized comparisons studies are possible and the SEER data becomes more comprehensive, the specific causes of the observed benefit and identifying patients that benefit most may be subject to considerable debate. Additional research can help determine with greater granularity the drivers of the survival benefit and highlight an opportunity to make adjusted survival outcomes more accessible to patients, complementing the data currently available because of price transparency mandates. Such efforts may help ensure that all patients benefit from precision medicine approaches.

Identifiers

PMID40963747
PMCPMC12440048

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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.