Evidence map›Paper›PMID 42310819›Full record

ArticleJournal of anesthesia, analgesia and critical care2026

Improving bedside airway tests accuracy for predicting difficult laryngoscopy using ultrasound-measured skin-to-epiglottis distance.

Haytham Eltrabily, Maha Mostafa, Esraa Gamal Hamad, Ahmed Hasanin, Sherin Refaat, Mohamed Mansour, Sherif Alaa Embaby, Mostafa Nagy

Abstract read
In one paragraph

Article in Journal of anesthesia, analgesia and critical care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Haytham EltrabilyDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt.
Maha MostafaDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt. maha.mostafa@cu.edu.eg.
Esraa Gamal HamadDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt.
Ahmed HasaninDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt.
Sherin RefaatDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt.
Mohamed MansourDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt.
Sherif Alaa EmbabyDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt.
Mostafa NagyDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to assess the accuracy of a composite score combining ultrasound-measured skin-to-epiglottis distance (DSE), Upper Lip Bite Test (ULBT), and Modified Mallampati Test (MMT) in predicting difficult airway.

methodsIn this prospective observational study, 250 adults scheduled for elective surgery were assessed preoperatively using ULBT, MMT, and ultrasound measurement of DSE. A composite airway score was calculated by assigning one point for each of the following: DSE > 2.0 cm, ULBT class > I, and MMT grade > II. Difficult laryngoscopy was defined as Cormack-Lehane grade > 2, and difficult intubation as an Intubation Difficulty Scale > 5. The outcomes were the ability of the score and individual tests to predict difficult airway using area under the receiver operating characteristic curve (AUC).

resultsThe incidence of difficult laryngoscopy and intubation was 12.8% and 6.8%, respectively. The composite score showed superior predictive accuracy compared to individual tests, with AUCs (95% confidence interval) of 0.77 (0.72-0.82) for difficult laryngoscopy and 0.83 (0.78-0.88) for difficult intubation. A score > 1 had negative predictive values of 93% for difficult laryngoscopy and 97% for difficult intubation. When all three tests were negative, the composite score had a sensitivity and negative predictive value of 100% for predicting difficult intubation.

conclusionA composite airway score combining DSE, ULBT, and MMT can accurately predict difficult laryngoscopy and intubation. When all three parameters are negative, difficult intubation is very unlikely. Additionally, a score of < 2 rules out difficult laryngoscopy and intubation with 93% and 97% accuracy, respectively.

Indexed as

Airway managementDifficult intubationLaryngoscopyPredictive value of testsUltrasonography

Identifiers

PMID42310819
PMCPMC13274189

What OpenQuestion 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 OpenQuestion graph.