Evidence map›Paper›PMID 40336867›Full record

ArticlePrecision radiation oncology2023

Chinese clinical practice guidelines for the prevention and treatment of radiation-induced esophagitis.

Congrong Yang, Jun Wang, Shuanghu Yuan

Abstract read
In one paragraph

Article in Precision radiation oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

3 authors.

Congrong YangDepartment of Radiation Oncology The Fourth Hospital of Hebei Medical University.ORCID https://orcid.org/0009-0002-5077-8964
Jun WangDepartment of Radiation Oncology The Fourth Hospital of Hebei Medical University.ORCID https://orcid.org/0000-0002-9733-1433
Shuanghu YuanChinese Radiation Therapy Oncology Group.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute radiation-induced esophagitis is a common complication of radiotherapy for esophageal, lung, and other malignancies. Therefore, understanding the diagnosis, grading, risk factors, prevention, and treatment of radiation-induced esophagitis is essential. Currently, there are few consensuses and guidelines on radiation-induced esophagitis worldwide, mainly the American College of Gastroenterology (ACG) clinical guideline: evidenced based approach to the diagnosis and management of esophageal eosinophilia and eosinophilic esophagitis (EoE) and the Digestive Endoscopy Society of Chinese Medical Association's "Guidelines for the Diagnosis and Treatment of Reflux Esophagitis." However, no consensus or guidelines specifically addressing radiation-induced esophagitis have been established. Efforts have been made to organize experts to draft Chinese consensus or guidelines, but the recommendations in these guidelines also vary owing to differences in expert backgrounds. The clinical practice guidelines presented herein were developed for the first time with the joint participation of Chinese radiotherapy experts. Drugs and methods with clinical significance were selected by reviewing and summarizing the prevention and treatment of radiation-induced esophagitis and combining them with China's national conditions. After multiple rounds of discussion and revision, clinical practice guidelines were established in line with the needs of Chinese clinicians, providing useful clinical guidance for the prevention and treatment of radiation-induced esophagitis.

Indexed as

adverse reaction managementclinical practice guidelinesradiation‐induced esophagitisradiotherapy

Identifiers

PMID40336867
PMCPMC11935206

What OpenQuestion holds

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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.