ReviewiScience2025
Assessment model of blast injury: A narrative review.
Review in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Integrated Blood Biomarker and Neurobehavioural Signatures of Latent Neuroinjury in Experienced Military Breachers Exposed to Repetitive Low-Intensity Blast.International journal of molecular sciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Craniocerebral and pulmonary injuries are primary blast-induced damages, assessed via numerical simulations, animal models, and postmortem human surrogates (PMHS). Recent years, the successful development of shock wave cell models and organoid models has provided new research directions for evaluation of blast injuries. Particularly human-derived organoids that can highly simulating the structure and function of human organs, significantly enhancing the physiological relevance of the models. Additionally, AI-based models (machine/deep learning) show promise in blast injury prediction and assessment. This review systematically summarizes the biological effects of explosive shock waves, the application of conventional assessment models and their limitations, and emerging technologies-cell/organoid models and AI applications. The utilization of cell models, human-derived organoid models, and AI models for the assessment of blast-induced biological injuries and subsequent research holds significant importance for understanding the cellular mechanisms of injury, protective research, and injury warning systems.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.