Evidence map›Paper›PMID 30233208›Full record

ArticleOncoTargets and therapy2018

Altered fractionation radiotherapy with or without chemotherapy in the treatment of head and neck cancer: a network meta-analysis.

Yingyu Liu, Changgui Kou, Wei Bai, Xinyu Liu, Yan Song, Lili Zhang, Mohan Wang, Yangyu Zhang, Yueyue You, Yue Yin and 2 more

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Yingyu LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Changgui KouDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Wei BaiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Xinyu LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Yan SongDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Lili ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Mohan WangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Yangyu ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Yueyue YouDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Yue YinDepartment of Radiation Oncology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Xin JiangDepartment of Radiation Oncology, The First Hospital of Jilin University, Changchun, Jilin, China, jiangx@jlu.edu.cn.
Ying XinDepartment of Pathology, School of Basic Medicine, Jilin University, Changchun, Jilin, China, xiny@jlu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesA Bayesian network meta-analysis (NMA) was conducted in patients with head and neck cancers (HNCs) to estimate the efficacy and safety of treatment with conventional fractionation radiotherapy (CF), conventional fractionation chemoradiotherapy (CF_CRT), hyperfractionated radiotherapy (HF), hyperfractionated chemoradiotherapy (HF_CRT), accelerated fractionation radiotherapy, accelerated fractionation chemoradiotherapy, accelerated hyperfractionated radiotherapy (HART) or accelerated hyperfractionated chemoradiotherapy (HACRT) to identify superior treatments to aid in clinical decisions.

methodsPubMed, EMBASE and the Cochrane Central Register of Controlled Trials (CENTRAL) were searched for potentially eligible randomized controlled trials up to December 2016. Overall survival (OS), disease-free survival (DFS) and locoregional control (LRC) were considered efficacy outcomes, whereas acute toxicity and late toxicity on skin and mucosa were considered safety outcomes. The surface under the cumulative ranking curve (SUCRA) was calculated to rank each treatment in each index.

resultsData from 72 trials with 21,868 participants were included in the analysis. Concerning OS, all treatments were associated with a significant advantage compared to CF alone, with HR effect sizes ranging from 0.64 to 0.83, and HACRT was significantly more effective than all the other treatments. The network comparisons of both HACRT vs HART and HF_CRT vs HF demonstrated a higher OS benefit, with an HR of 0.78 (95% credible interval [CrI]: 0.64-0.95) and 0.78 (95% CrI: 0.61-0.99), respectively. The results of SUCRA indicated that HACRT had the best ranking for OS and LRC, HF_CRT for DFS, HART for acute and late skin toxicity, CF_CRT for acute mucosal toxicity and HF_CRT for late mucosal toxicity.

conclusionThe NMA results support the notion that HACRT is the preferable treatment modality for HNCs because it has better rankings in all three efficacy indexes, although it does present a high risk of acute mucosal toxicity.

Indexed as

altered fractionation radiotherapyhead and neck cancernetwork meta-analysisrandomized controlled trials

Identifiers

PMID30233208
PMCPMC6129020

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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.