Evidence map›Paper›PMID 34572367›Full record

ReviewBiomedicines2021

Promising Biomarkers of Radiation-Induced Lung Injury: A Review.

Xinglong Liu, Chunlin Shao, Jiamei Fu

Abstract readReview
In one paragraph

Review in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Biomarkers associated with pulmonary exacerbations in a randomized trial of nintedanib for radiation pneumonitis.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2024
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  14. A Functional VariantAmerican journal of respiratory cell and molecular biology · 2025
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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

3 authors.

Xinglong LiuInstitute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai 200032, China.
Chunlin ShaoInstitute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai 200032, China.ORCID 0000-0001-9336-9912
Jiamei FuDepartment of Radiation Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China.

Funding

National Natural Science Foundation of China 81903258, 31770910Shanghai Pulmonary Hospital Talents Plan fkyq1904Shanghai Science and Technology Commission 19411950902
6 · The paper itself

Abstract

Radiation-induced lung injury (RILI) is one of the main dose-limiting side effects in patients with thoracic cancer during radiotherapy. No reliable predictors or accurate risk models are currently available in clinical practice. Severe radiation pneumonitis (RP) or pulmonary fibrosis (PF) will reduce the quality of life, even when the anti-tumor treatment is effective for patients. Thus, precise prediction and early diagnosis of lung toxicity are critical to overcome this longstanding problem. This review summarizes the primary mechanisms and preclinical animal models of RILI reported in recent decades, and analyzes the most promising biomarkers for the early detection of lung complications. In general, ideal integrated models considering individual genetic susceptibility, clinical background parameters, and biological variations are encouraged to be built up, and more prospective investigations are still required to disclose the molecular mechanisms of RILI as well as to discover valuable intervention strategies.

Indexed as

animal modelsbiomarkersradiation-induced lung injurysignaling pathways

Identifiers

PMID34572367
PMCPMC8470495

What OpenQuestion holds

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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.