Evidence map›Paper›PMID 30788237›Full record

ReviewTranslational lung cancer research2019

Stereotactic body radiotherapy as salvage treatment for recurrence of non-small cell lung cancer after prior surgery or radiotherapy.

Michael T Milano, Feng-Ming Spring Kong, Benjamin Movsas

Open access · hybridAbstract readReview
In one paragraph

Review in Translational lung cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  9. Target volume definition for staple line recurrences of non-small cell lung cancer.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2021
    Article
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  12. First-line treatment selection with organoids of anJournal of thoracic disease · 2020
    Review
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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

3 authors at 3 institutions in 1 country.

Michael T MilanoDepartment of Radiation Oncology, University of Rochester Medical Center, Rochester, NY, USA.
Feng-Ming Spring KongDepartment of Radiation Oncology, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Benjamin MovsasDepartment of Radiation Oncology, Henry Ford Cancer Institute at Henry Ford Health System, Detroit, MI, USA.
Henry Ford Health System · USUniversity of Rochester Medical Center · USUniversity School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment options for thoracic recurrences of non-small cell lung cancer (NSCLC) are limited. Stereotactic body radiation therapy (SBRT) is an emerging, potentially effective technology to manage recurrent NSCLC, although with limited prospective studies. This work reviews the outcomes of patients undergoing salvage SBRT for pulmonary recurrences after prior resection or prior radiotherapy for NSCLC. Following salvage SBRT, after prior external beam radiation (SBRT or conventionally fractionated), the 2-year overall survival (OS) ranged from 37% to 79% in 11 of the studies (397 patients) reviewed here, while the 2-year local control (LC) ranged from 37% to 90% in 6 studies that reported that outcome. Toxicity risks are acceptable albeit with appreciable risks of severe to potentially fatal toxicity, necessitating the need to weigh risks

Indexed as

lungre-irradiationresectionstereotactic ablative body radiotherapy (SABR)Stereotactic body radiation therapy (SBRT)

Identifiers

PMID30788237
PMCPMC6351395
OpenAlexW2891936965

What OpenQuestion holds

Textmetadata
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.