ArticleFederal practitioner : for the health care professionals of the VA, DoD, and PHS2020
The Precision Oncology Program for Cancer of the Prostate (POPCaP) Network: A Veterans Affairs/Prostate Cancer Foundation Collaboration.
Article in Federal practitioner : for the health care professionals of the VA, DoD, and PHS, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled 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.
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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Identifying and Addressing Barriers to Live Primary Prostate Cancer Cell Research in Veterans.Cancer research communications · 2026Pooled it
- The foundational science of learning health systems.Health services research · 2024Article
- The translation-to-policy learning cycle to improve public health.Learning health systems · 2024Article
- Adaptation of the socioecological model to address disparities in engagement of Black men in prostate cancer genetic testing.BMC public health · 2024Article
- Neighborhood Deprivation, Race and Ethnicity, and Prostate Cancer Outcomes Across California Health Care Systems.JAMA network open · 2024Article
- Prostate Cancer Foundation-Department of Veterans Affairs Partnership: A Model of Public-Private Collaboration to Advance Treatment and Care of Invasive Cancers.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2020Article
- Introduction: Precision Oncology Changes the Game for VA Health Care.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2020Article
- Foreword.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe promise of precision oncology only can be realized when genetic alterations are identified that can be lever-aged to improve response and minimize toxicity. Identifying those alterations as efficiently as possible and then giving patients access to targeted therapy and clinical study requires a comprehensive strategy across health care systems. OBSERVATIONS: The US Department of Veterans Affairs (VA) and Prostate Cancer Foundation have established a network of VA centers to help develop best practices for precision oncology for the treatment of veterans with advanced prostate cancer. This article describes the genesis and structure of this network and its potential for contributing to care and research in the VA and the health care system as a whole.
conclusionsThe Precision Oncology Program for Cancer of the Prostate network and its partnership with VA clinical and research efforts is anticipated to provide important insights into barriers and solutions to the implementation of precision oncology for prostate cancer across the VA.
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.