Evidence map›Paper›PMID 31535580›Full record

ReviewThe British journal of radiology2019

The evolving role of radiotherapy in non-small cell lung cancer.

Sean Brown, Kathryn Banfill, Marianne C Aznar, Philip Whitehurst, Corinne Faivre Finn

Open access · hybridAbstract readReview
In one paragraph

Review in The British journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 1 pooled it
9.2field-weighted citation impact, top 1% 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

82 citing papers in PubMed, 1 synthesis or guideline pooled it, 143 citations in OpenAlex.

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22 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Sean BrownThe Christie NHS Foundation Trust, Manchester, UK, Manchester, UK.ORCID http://orcid.org/0000-0002-3201-5050
Kathryn BanfillThe Christie NHS Foundation Trust, Manchester, UK, Manchester, UK.
Marianne C AznarThe Christie NHS Foundation Trust, Manchester, UK, Manchester, UK.
Philip WhitehurstChristie Medical Physics and Engineering (CMPE), The Christie NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK.
Corinne Faivre FinnThe Christie NHS Foundation Trust, Manchester, UK, Manchester, UK.
Manchester Academic Health Science Centre · GBThe Christie NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the most commonly diagnosed cancer and biggest cause of cancer mortality worldwide with non-small cell lung cancer (NSCLC) accounting for most cases. Radiotherapy (RT) plays a key role in its management and is used at least once in over half of patients in both curative and palliative treatments. This narrative review will demonstrate how the evolution of RT for NSCLC has been underpinned by improvements in RT technology. These improvements have facilitated geometric individualization, increasingly accurate treatment and now offer the ability to deliver truly individualized RT. In this review, we summarize and discuss recent developments in the field of advanced RT in early stage, locally advanced and metastatic NSCLC. We highlight limitations in current approaches and discuss future potential treatment strategies for patients with NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungForecastingFour-Dimensional Computed TomographyHumansLung NeoplasmsRadiotherapyRadiotherapy, ConformalRadiotherapy, Image-GuidedRadiotherapy, Intensity-Modulated

Identifiers

PMID31535580
PMCPMC6913359
OpenAlexW2971548327

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.