Evidence map›Paper›PMID 23942508›Full record

ArticleJournal of oncology practice2013

Practice-based evidence to evidence-based practice: building the National Radiation Oncology Registry.

Jason A Efstathiou, Deborah S Nassif, Todd R McNutt, C Bob Bogardus, Walter Bosch, Jeffrey Carlin, Ronald C Chen, Henry Chou, Dave Eggert, Benedick A Fraass and 19 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of oncology practice, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A Conceptual Model of an Oncology Information System.Cancer management and research · 2020
    Article
  5. Oncology Information System: A Qualitative Study of Users' Requirements.Asian Pacific journal of cancer prevention : APJCP · 2019
    Article
  6. Article
  7. Article
  8. Big data in oncologic imaging.La Radiologia medica · 2017
    Article
  9. Big Data in radiation therapy: challenges and opportunities.The British journal of radiology · 2017
    Article
  10. Article
  11. How Will Big Data Improve Clinical and Basic Research in Radiation Therapy?International journal of radiation oncology, biology, physics · 2016
    Article
  12. Technology for Innovation in Radiation Oncology.International journal of radiation oncology, biology, physics · 2015
    Article
  13. Creating a data exchange strategy for radiotherapy research: towards federated databases and anonymised public datasets.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2014
    Review
  14. Value: a framework for radiation oncology.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2014
    Review
  15. Considerations for observational research using large data sets in radiation oncology.International journal of radiation oncology, biology, physics · 2014
    Review
  16. Article
  17. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors.

Jason A EfstathiouMassachusetts General Hospital, Department of Radiation Oncology, Boston, MA 02114-2606, USA. jefstathiou@partners.org
Deborah S Nassif
Todd R McNutt
C Bob Bogardus
Walter Bosch
Jeffrey Carlin
Ronald C Chen
Henry Chou
Dave Eggert
Benedick A Fraass
Joel Goldwein
Karen E Hoffman
Ken Hotz
Margie Hunt
Marc Kessler
Colleen A F Lawton
Charles Mayo
Jeff M Michalski
Sasa Mutic
Louis Potters
Christopher M Rose
Howard M Sandler
Gregory Sharp
Wolfgang Tomé
Phuoc T Tran
Terry Wall
Anthony L Zietman
Peter E Gabriel
Justin E Bekelman

Funding

PROTON THERAPY RESEARCH AND TREATMENT CENTERC06CA059267 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI GOITEIN, MICHAEL · 1992 to 1995
–
NCI NIH HHS C06 CA059267
6 · The paper itself

Abstract

The National Radiation Oncology Registry (NROR), sponsored by the Radiation Oncology Institute and the American Society for Radiation Oncology, is designed to collect standardized information on cancer care delivery among patients treated with radiotherapy in the United States and will focus on patients with prostate cancer. Stakeholders were engaged through a forum that emphasized the need for patient-centered outcomes, minimal data burden, and maximal connectivity to existing registries and databases. An electronic infrastructure is under development to provide connectivity across radiation oncology and hospital information systems. The NROR Gateway features automatic abstraction as well as aggregation of treatment and outcome data. The prostate cancer data dictionary provides standardized elements in four domains: facility, physician, patient, and treatment. The pilot phase will consist of clinical centers chosen to provide a representative mix of radiation treatment modalities, facility types, population-based settings, and regional locations. The initial set of radiation practice metrics includes physician board certification and maintenance, ordering of staging scans, active surveillance discussion, dose prescriptions for low-risk/high-risk disease, radiation fields for low-risk/high-risk disease, image-guided radiation therapy use, androgen deprivation therapy use, post-brachytherapy implant computed tomography dosimetry, collection of toxicity assessments, and longitudinal patient follow-up. The NROR pilot study will provide the framework for expansion to a nationwide electronic registry for radiation oncology.

Indexed as

Evidence-Based PracticeRadiation OncologyRegistriesDatabase Management SystemsHumansMaleMedical InformaticsOutcome Assessment, Health CarePilot ProjectsProstatic NeoplasmsQuality Assurance, Health CareSoftware

Identifiers

PMID23942508
PMCPMC3651578

What OpenQuestion holds

Textmetadata
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.