Evidence map›Paper›PMID 39780158›Full record

ArticleRadiation oncology (London, England)2025

Comparison of radiation esophagitis associated with daytime versus evening radiotherapy in patients with esophageal carcinoma.

Yun Xing, Yutian Yin, Liang Yu, Cong Zhang, Guangjin Chai, Bo Lyu, Bin Wang, Lina Zhao, Geng Xiang

Abstract readComparative Study
In one paragraph

Article in Radiation oncology (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Circadian Genotypes in PER3 and Time of Prostate Cancer Radiotherapy Interact to Affect Risk of Late Side Effects.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
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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

9 authors.

Yun Xing *Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China.
Yutian Yin *Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China.
Liang Yu *Department of Information, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China.
Cong ZhangDepartment of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China.
Guangjin ChaiDepartment of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China.
Bo LyuDepartment of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China.
Bin WangDepartment of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China.
Lina ZhaoDepartment of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China. zhaolina@fmmu.edu.cn.
Geng XiangDepartment of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China. 759406605@qq.com.

Funding

National Natural Science Foundation of China 82102603National Natural Science Foundation of China 82272941
6 · The paper itself

Abstract

purposeBased on the demonstration of a circadian rhythm in the human oral mucosa cell cycle, with most cells in the G2/M phase in the afternoon and at night, the present study evaluated the severity of acute radiation esophagitis and treatment outcomes in esophageal squamous cell carcinoma patients receiving radiotherapy (RT) in the daytime versus in the evening.

methodsFrom the 488 eligible patients of esophageal squamous cell carcinoma receiving concurrent chemoradiotherapy (CCRT), 369 patients received RT in the daytime (before 19:00) and 119 patients received RT in the evening (after 19:00). The grades of radiation esophagitis (Common Terminology Criteria for Adverse Events version 5.0) and survival outcomes were compared in the two groups. Analyses were performed by using ordinal logistic regression and Cox proportional hazard regression.

resultsThe median follow-up was 27 months. In multivariate logistic regression models, evening treatment (after 19:00) (odds ratio, 1.660 [95% CI 1.094-2.518]), tumor length ≥ 5 cm (odds ratio, 1.632 [95% CI 1.102-2.416]), PGTV dose ≥ 59.34 Gy (odds ratio, 1.702 [95% CI 1.099-2.635]), female sex (odds ratio, 2.241 [95% CI 1.475-3.405]), and tumor location in cervical segment and upper thoracic (odds ratio, 1.665 [95% CI 1.043-2.658]) were associated with higher odds of radiation esophagitis. There was no difference in the overall survival (OS), locoregional relapse-free survival (LRFS), distant metastasis-free survival (DMFS), and progression-free survival (PFS) (all p > 0.05) between the daytime treatment group and evening treatment group. The results of the subgroup analysis showed that no significant difference was found in radiation esophagitis between the two groups with PGTV dose < 59.34 Gy, while there was a higher odds for the Grade 2 or higher radiation esophagitis in the evening treatment group than the daytime treatment group (odds ratio, 1.675 [95% CI 1.062-2.643]) with PGTV dose ≥ 59.34 Gy.

conclusionRT in the evening (after 19:00) was associated with higher odds to present esophagitis for esophageal squamous cell carcinoma patients, especially with higher radiation doses, but treatment outcomes did not differ according to the time of RT.

Indexed as

Esophageal NeoplasmsEsophagitisRadiation InjuriesAdultAgedAged, 80 and overChemoradiotherapyCircadian RhythmEsophageal Squamous Cell CarcinomaFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRadiotherapy DosageCircadian rhythmEsophageal squamous cell carcinomaOrdinal logistic regressionRadiation esophagitisRadiotherapySurvival outcomes

Identifiers

PMID39780158
PMCPMC11708085

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Registered trials

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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.