Evidence map›Paper›PMID 37660393›Full record

SynthesisJournal of applied clinical medical physics2023

Simulation as a tool to model potential workflow enhancements in radiotherapy treatment pathways - A systematic review.

Andrew Robinson, Md Asaduzzaman, Raj Jena, Roozbeh Naemi

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Journal of applied clinical medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
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

4 authors at 2 institutions in 1 country.

Andrew RobinsonSchool of Health, Science and Wellbeing, Staffordshire University, Stoke on Trent, UK.ORCID https://orcid.org/0000-0001-5311-9556
Md AsaduzzamanSchool of Digital, Technologies and Arts, Staffordshire University, Stoke on Trent, UK.ORCID https://orcid.org/0000-0002-8885-6721
Raj JenaDepartment of Oncology, University of Cambridge, Cambridge, UK.ORCID https://orcid.org/0000-0002-3803-5968
Roozbeh NaemiSchool of Health, Science and Wellbeing, Staffordshire University, Stoke on Trent, UK.ORCID https://orcid.org/0000-0002-2998-2883
University of Staffordshire · GBUniversity of Cambridge · GB

Funding

Cancer Research UK 28870
6 · The paper itself

Abstract

This systematic review aimed to synthesize and summarize the use of simulation of radiotherapy pathways. The objective was to establish the suitability of those simulations in modeling the potential introduction of processes and technologies to speed up radiotherapy pathways. A systematic literature search was carried out using PubMed and Scopus databases to evaluate the use of simulation in radiotherapy pathways. Full journal articles and conference proceedings were considered, and the search was limited to the English language only. To be eligible for inclusion, articles had to model multiple sequential processes in the radiotherapy pathway concurrently to demonstrate the suitability of simulation modeling in typical pathways. Papers solely modeling scheduling, capacity, or queuing strategies were excluded. In total, 151 potential studies were identified and screened to find 18 relevant studies in October 2022. Studies showed that various pathways could be modeled, including the entire pathway from referral to end of treatment or the constituent phases such as pre-treatment, treatment, or other subcomponents. The data required to generate models varied from study to study, but at least 3 months of data were needed. This review demonstrates that modeling and simulation of radiotherapy pathways are feasible and that model output matches real-world systems. Validated models give researchers confidence to modify models with potential workflow enhancements to assess their potential effect on real-world systems. It is recommended that researchers follow best practice guidelines when building models to ensure that they are fit for purpose and to enable decision makers to have confidence in their results.

Indexed as

NeoplasmsRadiotherapy Planning, Computer-AssistedWorkflowComputer SimulationHumansRadiotherapy Dosagecomputer simulationsdiscrete event simulationoperations researchpathwayradiotherapywaiting times

Identifiers

PMID37660393
PMCPMC10562027
OpenAlexW4386397701

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.