Evidence map›Paper›PMID 33163312›Full record

ArticleCureus2020

Dose-Volume Predictors of Radiation Pneumonitis After Lung Stereotactic Body Radiation Therapy (SBRT): Implications for Practice and Trial Design.

Vitali Moiseenko, Jimm Grimm, Ellen Yorke, Andrew Jackson, Anthony Yip, Minh-Phuong Huynh-Le, Anand Mahadevan, Kenneth Forster, Michael T Milano, Jona A Hattangadi-Gluth

Abstract read
In one paragraph

Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
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  9. 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

10 authors.

Vitali MoiseenkoRadiation Medicine and Applied Sciences, University of California San Diego Moores Cancer Center, La Jolla, USA.
Jimm GrimmRadiation Oncology, Geisinger Health System, Danville, USA.
Ellen YorkeMedical Physics, Memorial Sloan Kettering Cancer Center, New York, USA.
Andrew JacksonMedical Physics, Memorial Sloan Kettering Cancer Center, New York, USA.
Anthony YipRadiation Medicine and Applied Sciences, University of California San Diego Moores Cancer Center, La Jolla, USA.
Minh-Phuong Huynh-LeRadiation Medicine and Applied Sciences, University of California San Diego Moores Cancer Center, La Jolla, USA.
Anand MahadevanRadiation Oncology, Geisinger Cancer Institute, Danville, USA.
Kenneth ForsterRadiation Oncology, Geisinger Cancer Institute, Danville, USA.
Michael T MilanoRadiology Oncology, Wilmot Cancer Institute, University of Rochester, Rochester, USA.
Jona A Hattangadi-GluthRadiation Medicine and Applied Sciences, University of California San Diego Moores Cancer Center, La Jolla, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
UC San Diego Clinical and Translational Research InstituteTL1TR001443 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEPP, COLIN A. · 2015 to 2019
$3.4M
Image-Guided Cognitive-Sparing Radiosurgery for Brain Metastases: Avoidance of Eloquent White Matter and Hippocampal RegionsR01CA238783 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HATTANGADI-GLUTH, JONA A · 2019 to 2021
$737k
NCATS NIH HHS TL1 TR001443NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA238783
6 · The paper itself

Abstract

Background and purpose Recently published HyTEC report summarized lung toxicity data and proposed guidelines of mean lung dose (MLD) <8 Gy and normal lung receiving at least 20 Gy, V

Indexed as

dose-volume-responseradiation pneumonitisstereotactic body radiation therapy

Identifiers

PMID33163312
PMCPMC7641492

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.