Evidence map›Paper›PMID 26869804›Full record

ReviewOncoTargets and therapy2016

Advances in dosimetry and biological predictors of radiation-induced esophagitis.

Yang Yu, Hui Guan, Yuanli Dong, Ligang Xing, Xiaolin Li

Open access · goldAbstract readReview
In one paragraph

Review in OncoTargets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 10 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

5 authors at 3 institutions in 2 countries.

Yang YuSchool of Medicine and Life Sciences, Shandong Academy of Medical Sciences, University of Jinan, Jinan, People's Republic of China.
Hui GuanSchool of Medicine and Life Sciences, Shandong Academy of Medical Sciences, University of Jinan, Jinan, People's Republic of China.
Yuanli DongSchool of Medicine and Life Sciences, Shandong Academy of Medical Sciences, University of Jinan, Jinan, People's Republic of China.
Ligang XingDepartment of Radiation Oncology, Shandong Cancer Hospital, Jinan, Shandong Province, People's Republic of China.
Xiaolin LiDepartment of Radiation Oncology, Shandong Cancer Hospital, Jinan, Shandong Province, People's Republic of China.
Academy of Medical Sciences · GBShandong First Medical University · CNShandong Tumor Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo summarize the research progress about the dosimetry and biological predictors of radiation-induced esophagitis.

methodsWe performed a systematic literature review addressing radiation esophagitis in the treatment of lung cancer published between January 2009 and May 2015 in the PubMed full-text database index systems.

resultsTwenty-eight eligible documents were included in the final analysis. Many clinical factors were related to the risk of radiation esophagitis, such as elder patients, concurrent chemoradiotherapy, and the intense radiotherapy regimen (hyperfractionated radiotherapy or stereotactic body radiotherapy). The parameters including Dmax, Dmean, V20, V30, V50, and V55 may be valuable in predicting the occurrence of radiation esophagitis in patients receiving concurrent chemoradiotherapy. Genetic variants in inflammation-related genes are also associated with radiation-induced toxicity.

conclusionDosimetry and biological factors of radiation-induced esophagitis provide clinical information to decrease its occurrence and grade during radiotherapy. More prospective studies are warranted to confirm their prediction efficacy.

Indexed as

esophagitislung cancerpredictorsradiation injuries

Identifiers

PMID26869804
PMCPMC4734814
OpenAlexW2269166469

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.