ArticlemedRxiv : the preprint server for health sciences2025
Cancer Survival at a Comprehensive Cancer Center Compared with Surveillance, Epidemiology, and End Results (SEER) Estimates.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Updated by
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
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
What OpenQuestion holds
Registered trials
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.