Evidence map›Paper›PMID 29496281›Full record

ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2018

A model combining age, equivalent uniform dose and IL-8 may predict radiation esophagitis in patients with non-small cell lung cancer.

Shulian Wang, Jeff Campbell, Matthew H Stenmark, Paul Stanton, Jing Zhao, Martha M Matuszak, Randall K Ten Haken, Feng-Ming Kong

Open access · hybridAbstract read
In one paragraph

Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Article
  4. Article
  5. Observational
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

8 authors at 4 institutions in 2 countries.

Shulian WangState Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Department of Radiation Oncology, GRU Cancer Center and Medical College of Georgia, Augusta, GA, United States.
Jeff CampbellDepartment of Radiation Oncology, GRU Cancer Center and Medical College of Georgia, Augusta, GA, United States.
Matthew H StenmarkDepartment of Radiation Oncology, University of Michigan, United States.
Paul StantonDepartment of Radiation Oncology, GRU Cancer Center and Medical College of Georgia, Augusta, GA, United States.
Jing ZhaoDepartment of Radiation Oncology, GRU Cancer Center and Medical College of Georgia, Augusta, GA, United States.
Martha M MatuszakDepartment of Radiation Oncology, University of Michigan, United States.
Randall K Ten HakenDepartment of Radiation Oncology, University of Michigan, United States.
Feng-Ming KongDepartment of Radiation Oncology, GRU Cancer Center and Medical College of Georgia, Augusta, GA, United States; Department of Radiation Oncology, Indiana University, United States. Electronic address: fskong@iupui.edu.
Augusta University · USUniversity of Michigan–Ann Arbor · USChinese Academy of Medical Sciences & Peking Union Medical College · CNMichigan United · US

Funding

TREATMENT VERIFICATION AND TREATMENT PLAN REFINEMENTP01CA059827 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KESSLER, MARC LEWIS, LAWRENCE, THEODORE S · 1993 to 2018
$37.9M
FUNCTIONAL IMAGE AND MOLECULAR MARKER TO INDIVIDUALIZE ADAPTIVE RADIATION DOSE ESR01CA142840 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KONG, FENG-MING P. · 2010 to 2015
$2.0M
NCI NIH HHS P01 CA059827NCI NIH HHS R01 CA142840
6 · The paper itself

Abstract

background and purposeTo study whether cytokine markers may improve predictive accuracy of radiation esophagitis (RE) in non-small cell lung cancer (NSCLC) patients. MATERIALS AND

methodsA total of 129 patients with stage I-III NSCLC treated with radiotherapy (RT) from prospective studies were included. Thirty inflammatory cytokines were measured in platelet-poor plasma samples. Logistic regression was performed to evaluate the risk factors of RE. Stepwise Akaike information criterion (AIC) and likelihood ratio test were used to assess model predictions.

resultsForty-nine of 129 patients (38.0%) developed grade ≥2 RE. Univariate analysis showed that age, stage, concurrent chemotherapy, and eight dosimetric parameters were significantly associated with grade ≥2 RE (p < 0.05). IL-4, IL-5, IL-8, IL-13, IL-15, IL-1α, TGFα and eotaxin were also associated with grade ≥2 RE (p < 0.1). Age, esophagus generalized equivalent uniform dose (EUD), and baseline IL-8 were independently associated grade ≥2 RE. The combination of these three factors had significantly higher predictive power than any single factor alone. Addition of IL-8 to toxicity model significantly improves RE predictive accuracy (p = 0.019).

conclusionsCombining baseline level of IL-8, age and esophagus EUD may predict RE more accurately. Refinement of this model with larger sample sizes and validation from multicenter database are warranted.

Indexed as

AdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungCytokinesEsophagitisFemaleHumansInterleukin-8Logistic ModelsLung NeoplasmsMaleMiddle AgedModels, StatisticalNeoplasm GradingPredictive Value of TestsCXCL8 protein, humanCytokinesInterleukin-8CytokinesLung neoplasmNon-small cellRadiation esophagitis

Identifiers

PMID29496281
PMCPMC5874799
OpenAlexW2793942919

What OpenQuestion holds

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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.