Evidence map›Paper›PMID 29529229›Full record

ArticleJournal of radiation research2018

Present developments in reaching an international consensus for a model-based approach to particle beam therapy.

Anussara Prayongrat, Kikuo Umegaki, Arjen van der Schaaf, Albert C Koong, Steven H Lin, Thomas Whitaker, Todd McNutt, Naruhiro Matsufuji, Edward Graves, Masahiko Mizuta and 8 more

Open access · goldAbstract read
In one paragraph

Article in Journal of radiation research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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

18 authors at 8 institutions in 3 countries.

Anussara PrayongratDepartment of Radiation Oncology, Graduate School of Medicine, Hokkaido University, North-15 West-7, Kita-ku, Sapporo, 0608638, Japan.
Kikuo UmegakiFaculty of Engineering, Hokkaido University, North-13, West-8, Kita-ku, Sapporo, 0608628, Japan.
Arjen van der SchaafDepartment of Radiation Oncology, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
Albert C KoongDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA.
Steven H LinDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA.
Thomas WhitakerDepartment of Radiation Oncology, Mayo Clinic, 200 1st St SW, Rochester, MN 55902, USA.
Todd McNuttDepartment of Radiation Oncology and Molecular Radiation Sciences, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, 733 N Broadway, Baltimore, MD 21205, USA.
Naruhiro MatsufujiNational Institute of Radiological Sciences, 4 Chome-9-1 Anagawa, Inage Ward, Chiba, 2630024, Japan.
Edward GravesDepartment of Radiation Oncology, Stanford University, 291 Campus Drive, Stanford, CA 94305, USA.
Masahiko MizutaGraduate School of Information Science and Technology, Hokkaido University, North-14 West-9, Kita-ku, Sapporo, 0600814, Japan.
Kazuhiko OgawaDepartment of Radiation Oncology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Hiroyuki DateFaculty of Health Sciences, Hokkaido University, North-12 West-5, Kita-ku, Sapporo, 060-0812, Japan.
Kensuke MoriwakiDepartment of Medical Statistics, Kobe Pharmaceutical University, 4-19-1, Motoyamakitamachi, Higashinada-ku, Kobe-shi, Hyogo, 658-8558, Japan.
Yoichi M ItoDepartment of Biostatistics, Faculty of Medicine, Hokkaido University, North-15 West-7, Kita-ku, Sapporo, 0608638, Japan.
Keiji KobashiDepartment of Medical Physics, Faculty of Medicine, Hokkaido University, North-15 West-7, Kita-ku, Sapporo, 0608638, Japan.
Yasuhiro DekuraDepartment of Radiation Oncology, Graduate School of Medicine, Hokkaido University, North-15 West-7, Kita-ku, Sapporo, 0608638, Japan.
Shinichi ShimizuGlobal Station for Quantum Biomedical Science and Engineering, Global Institute for Cooperative Research and Education, Hokkaido University, North-15 West-7, Kita-ku, Sapporo, 0608638, Japan.
Hiroki ShiratoGlobal Station for Quantum Biomedical Science and Engineering, Global Institute for Cooperative Research and Education, Hokkaido University, North-15 West-7, Kita-ku, Sapporo, 0608638, Japan.
Hokkaido University · JPThe University of Texas MD Anderson Cancer Center · USJohns Hopkins University · USKobe Pharmaceutical University · JPOsaka University · JPStanford University · USUniversity Medical Center Groningen · NLWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Particle beam therapy (PBT), including proton and carbon ion therapy, is an emerging innovative treatment for cancer patients. Due to the high cost of and limited access to treatment, meticulous selection of patients who would benefit most from PBT, when compared with standard X-ray therapy (XRT), is necessary. Due to the cost and labor involved in randomized controlled trials, the model-based approach (MBA) is used as an alternative means of establishing scientific evidence in medicine, and it can be improved continuously. Good databases and reasonable models are crucial for the reliability of this approach. The tumor control probability and normal tissue complication probability models are good illustrations of the advantages of PBT, but pre-existing NTCP models have been derived from historical patient treatments from the XRT era. This highlights the necessity of prospectively analyzing specific treatment-related toxicities in order to develop PBT-compatible models. An international consensus has been reached at the Global Institution for Collaborative Research and Education (GI-CoRE) joint symposium, concluding that a systematically developed model is required for model accuracy and performance. Six important steps that need to be observed in these considerations include patient selection, treatment planning, beam delivery, dose verification, response assessment, and data analysis. Advanced technologies in radiotherapy and computer science can be integrated to improve the efficacy of a treatment. Model validation and appropriately defined thresholds in a cost-effectiveness centered manner, together with quality assurance in the treatment planning, have to be achieved prior to clinical implementation.

Indexed as

ConsensusHeavy Ion RadiotherapyInternationalityModels, TheoreticalProton TherapyHumansNeoplasmsProbability

Identifiers

PMID29529229
PMCPMC5868183
OpenAlexW2789930083

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.