Evidence map›Paper›PMID 36721584›Full record

ArticleCureus2022

Practical Implementation of Emergent After-Hours Radiation Treatment Process Using Remote Treatment Planning on Optimized Diagnostic CT Scans.

Kareem R Fakhoury, Leah K Schubert, Mychaela D Coyne, Wes Aldridge, Sabrina Zeiler, Kelly Stuhr, Timothy V Waxweiler, Tyler P Robin, Tracey E Schefter, Brian D Kavanagh and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

11 authors at 1 institution in 1 country.

Kareem R FakhouryDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, USA.
Leah K SchubertDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, USA.
Mychaela D CoyneDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, USA.
Wes AldridgeDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, USA.
Sabrina ZeilerDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, USA.
Kelly StuhrDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, USA.
Timothy V WaxweilerDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, USA.
Tyler P RobinDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, USA.
Tracey E SchefterDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, USA.
Brian D KavanaghDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, USA.
Sameer K NathDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, USA.
University of Colorado Denver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this report is to present the implementation of a process for after-hours radiation treatment (RT) utilizing remote treatment planning based on optimized diagnostic computed tomography (CT) scans for the urgent palliative treatment of inpatients. A standardized operating procedure was developed by an interprofessional panel to improve the quality of after-hours RT and minimize the risk of treatment errors. A new diagnostic CT protocol was created that could be performed after-hours on hospital scanners and would ensure a reproducible patient position and adequate field of view. An on-call structure for dosimetry staff was created utilizing remote treatment planning. The optimized CT protocol was developed in collaboration with the radiology department, and a novel order set was created in the electronic health system. The clinical workflow begins with the radiation oncologist notifying the on-call team (therapist, dosimetrist, and physicist) and obtaining an optimized diagnostic CT scan on a hospital-based scanner. The dosimetrist remotely creates a plan; the physicist checks the plan; and the patient is treated. Plans are intentionally simple (parallel opposed fields, symmetric jaws) to expedite care and reduce the risk of error. Education on the new process was provided for all relevant staff. Our process was successfully implemented with the use of an optimized CT protocol and remote treatment planning. This approach has the potential to improve the quality and safety of emergent after-hours RT by better approximating the normal process of care.

Indexed as

after hoursdiagnostic ctemergency planningpalliative radiationprocess improvementradiation oncology

Identifiers

PMID36721584
PMCPMC9884138
OpenAlexW4313325612

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.