Evidence map›Paper›PMID 38133412›Full record

ReviewToxics2023

Radiation-Induced Intestinal Injury: Injury Mechanism and Potential Treatment Strategies.

Qianying Lu, Yangfan Liang, Sijia Tian, Jie Jin, Yanmei Zhao, Haojun Fan

Open access · goldAbstract readReview
In one paragraph

Review in Toxics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
12.4field-weighted citation impact, top 1% 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

50 citing papers in PubMed, 54 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Metabolomic and Microbiome Profiling Reveals the Protective Mechanism ofInternational journal of molecular sciences · 2026
    Article
  7. Article
  8. Review
  9. Article
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  11. Article
  12. Article
  13. Review
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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

6 authors at 1 institution in 1 country.

Qianying LuInstitute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China.
Yangfan LiangInstitute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China.
Sijia TianInstitute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China.
Jie JinInstitute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China.
Yanmei ZhaoInstitute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China.ORCID 0000-0002-8572-6470
Haojun FanInstitute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China.ORCID 0000-0003-1111-0232
Tianjin University · CN

Funding

National Natural Science Foundation of China 32000877Open Scientific Research Program of Military Logistics BLB19J006Tianjin postgraduate Research and Innovation Project 2022SKY054
6 · The paper itself

Abstract

Radiation-induced intestinal injury (RIII) is one of the most common intestinal complications caused by radiotherapy for pelvic and abdominal tumors and it seriously affects the quality of life of patients. However, the treatment of acute RIII is essentially symptomatic and nutritional support treatment and an ideal means of prevention and treatment is lacking. Researchers have conducted studies at the cellular and animal levels and found that some chemical or biological agents have good therapeutic effects on RIII and may be used as potential candidates for clinical treatment. This article reviews the injury mechanism and potential treatment strategies based on cellular and animal experiments to provide new ideas for the diagnosis and treatment of RIII in clinical settings.

Indexed as

injury mechanismintestinal injuryradiationtreatment

Identifiers

PMID38133412
PMCPMC10747544
OpenAlexW4389564479

What Socratic holds

Textmetadata
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 Socratic graph.