ReviewEuropean journal of medical research2024
A review of the current status and progress in difficult airway assessment research.
Review in European journal of medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed, 23 citations in OpenAlex.
- Ultrasound-guided modified superior laryngeal nerve block for awake tracheal intubation in patients with difficult airways.BMC anesthesiology · 2026Article
- Artificial Intelligence in Airway Management: Current Evidence and Future Perspectives.Cureus · 2026Review
- TI-YOLO: A Lightweight and Efficient Anatomical Structure Detection Model for Tracheal Intubation.Bioengineering (Basel, Switzerland) · 2026Article
- Laparoscopic fundoplication under general anesthesia in a child with spinal muscular atrophy type II: a case report.BMC pediatrics · 2026Article
- Intelligent Recognition Network for Difficult Airway Based on Multi-View Input and Attention Aggregation.Interdisciplinary sciences, computational life sciences · 2026Article
- AI-based decision models for difficult airway assessment: from research innovation to clinical implementation-a narrative review.Frontiers in medicine · 2026Review
- Artificial Intelligence for Predicting Difficult Airways: A Review.Journal of clinical medicine · 2025Review
- Artificial intelligence for difficult airway assessment: a protocol for a systematic review with meta-analysis.BMJ open · 2025Article
- Anesthesia management of complex head and face injury caused by bear bite: a case report.BMC anesthesiology · 2025Article
- CT based 3D radiomic and clinical airway examination model for evaluating mask ventilation in oral and maxillofacial surgery patients.Scientific reports · 2025Article
- Difficult airway management in a patient with severe mitral and tricuspid regurgitation, rapid atrial fibrillation, and moderate pulmonary hypertension: a case report.BMC anesthesiology · 2025Article
- Anesthetic management of folders with severe kyphosis in ankylosing spondylitis: a single-center retrospective case series study.Frontiers in medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
A difficult airway is a situation in which an anesthesiologist with more than 5 years of experience encounters difficulty with intubation or mask ventilation. According to the 2022 American Society of Anesthesiologists Practice Guidelines for the Management of Difficult Airway, difficult airways are subdivided into seven detailed categories. This condition can lead to serious adverse events and therefore must be diagnosed accurately and quickly. In this review, we comprehensively summarize and discuss the different methods used in clinical practice and research to assess difficult airways, including medical history, simple bedside assessment, comprehensive assessment of indicators, preoperative endoscopic airway examination, imaging, computer-assisted airway reconstruction, and 3D-printing techniques. We also discuss in detail the latest trends in difficult airway assessment through mathematical methods and artificial intelligence. With the continuous development of artificial intelligence and other technologies, in the near future, we will be able to predict whether a patient has a difficult airway simply by taking an image of the patient's face through a cell phone program. Artificial intelligence and other technologies will bring great changes to the development of airway assessment, and at the same time raise some new questions that we should think about.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.