Evidence map›Paper›PMID 29331227›Full record

ReviewPhysica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)2018

The impact of technology on the changing practice of lung SBRT.

Marianne Camille Aznar, Samantha Warren, Mischa Hoogeman, Mirjana Josipovic

Open access · hybridAbstract readReview
In one paragraph

Review in Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 53 citations in OpenAlex.

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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 4 institutions in 3 countries.

Marianne Camille AznarClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Institute for Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark; Niels Bohr Institute, Faculty of Science, University of Copenhagen, Copenhagen, Denmark. Electronic address: marianne.aznar@ndph.ox.ac.uk.
Samantha WarrenHall Edwards Radiotherapy Group, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Mischa HoogemanMC-Daniel den Hoed Cancer Center, Erasmus University, Rotterdam, Netherlands.
Mirjana JosipovicNiels Bohr Institute, Faculty of Science, University of Copenhagen, Copenhagen, Denmark; Department of Oncology, Section for Radiotherapy, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Erasmus MC Cancer Institute · NLRigshospitalet · DKUniversity Hospitals Birmingham NHS Foundation Trust · GBUniversity of Copenhagen · DK

Funding

Cancer Research UK 21133
6 · The paper itself

Abstract

Stereotactic body radiotherapy (SBRT) for lung tumours has been gaining wide acceptance in lung cancer. Here, we review the technological evolution of SBRT delivery in lung cancer, from the first treatments using the stereotactic body frame in the 1990's to modern developments in image guidance and motion management. Finally, we discuss the impact of current technological approaches on the requirements for quality assurance as well as future technological developments.

Indexed as

HumansLung NeoplasmsRadiosurgeryRadiotherapy DosageRadiotherapy Planning, Computer-AssistedHypofractionationImage guided radiotherapySABRSBRT

Identifiers

PMID29331227
PMCPMC5883320
OpenAlexW2783908390

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.