Article in Physics in medicine and biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
10 authors.
Hoyeon LeeDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, United States of America.ORCID 0000-0002-1165-1509
Bo-Wi CheonDepartment of Radiation Convergence Engineering, Yonsei University, Wonju, Gangwon-do 26493, Republic of Korea.ORCID 0000-0001-6430-6744
Joseph W FeldElectrical Engineering and Computer Science Department, Massachusetts Institute of Technology, Cambridge, MA 02139, United States of America.
Kira GroggThe Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, United States of America.
Joseph PerlSLAC National Accelerator Laboratory, Menlo Park, CA 94025 United States of America.
José A Ramos-MéndezDepartment of Radiation Oncology, University of California San Francisco, San Francisco, CA 94115 United States of America.
Bruce FaddegonDepartment of Radiation Oncology, University of California San Francisco, San Francisco, CA 94115 United States of America.ORCID 0000-0002-4573-1582
Chul Hee MinDepartment of Radiation Convergence Engineering, Yonsei University, Wonju, Gangwon-do 26493, Republic of Korea.
Harald PaganettiDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, United States of America.
Jan SchuemannDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, United States of America.ORCID 0000-0002-7554-8818
Funding
The TOPAS Tool for Particle Simulation, a Monte Carlo Simulation Tool for Physics, Biology and Clinical ResearchU24CA215123 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FADDEGON, BRUCE · 2018 to 2022
$4.2M
TOPAS: Fast and easy to use Monte Carlo system for proton therapyR01CA140735 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI PAGANETTI, HARALD · 2009 to 2015
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 Socratic graph.
TOPAS-imaging: extensions to the TOPAS simulation toolkit for medical imaging systems. · full record | Socratic